NOTE: This page was not updated since 2013.
SCIENTIFIC
This page contains publications, articles, conference presentations, posters and all scientific relevant content of the last years where i was author, co-author or contributor.
MASTER THESIS / DIPLOMA
[2010] Validation of Machine-Learning-driven Real-Time 2D/3D Tracking (Texture Model Registration) in Radiotherapy
Neuner M.; University for Health Sciences, Medical Informatics and Technology (UMIT). In cooperation with the Institute for Research and Development on Advanced Radiation Technologies (radART) at the Paracelsus Medical University (PMU)
Tools Used: Debian, C++, R, doxygen, CMake, ITK, eclipse, BASH, Inkscape, SVN, TeX, LyX
written in English
First Results published in A novel class of machine-learning-driven real-time 2D/3D tracking methods: texture model registration (TMR)
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BibTex
Neuner M. Validation of Machine-Learning-driven Real-Time 2D/3D Tracking (Texture Model Registration) in Radiotherapy; 2010. University for Health Sciences, Medical Informatics and Technology (UMIT). Master Thesis.
- bibtex.bib
@MISC{Neuner2010,
author = {Markus Neuner},
title = {Validation of Machine-Learning-driven Real-Time 2D/3D Tracking (Texture Model Registration) in Radiotherapy},
howpublished = {Master Thesis},
month = {10},
year = {2010},
note = {University for Health Sciences, Medical Informatics and Technology (UMIT)}
}
BACHELOR THESIS
Neuner M.; University for Health Sciences, Medical Informatics and Technology (UMIT).
Tools Used: Debian, C++, doxygen, CMake, ITK, eclipse, gnuplot, BASH, Inkscape, SVN, TeX, LyX
written in English
Source Code is part of: An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric and An extended ITK-based Framework for Intensity-based 2D/3D-Registration
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BibTex
Neuner M. Implementation and Evaluation of DRR algorithms (ray casting, wobbled splatting) for the ITK; 2009. University for Health Sciences, Medical Informatics and Technology (UMIT). Bachelor Thesis.
- bibtex.bib
@MISC{Neuner2009,
author = {Markus Neuner},
title = {Implementation and Evaluation of DRR algorithms (ray casting, wobbled splatting) for the ITK},
howpublished = {Bachelor Thesis},
month = {1},
year = {2009},
note = {University for Health Sciences, Medical Informatics and Technology (UMIT)}
}
PUBLICATIONS
[2013][PRESENTATION] The Patient Alignment Imaging Ring System
P. Steininger1,2, H. Weichenberger1,2, M. Neuner1, M. Mooslechner1, B. Mitterlechner3, M. Pinzger1, A. Boehler1, M. Mehrwald1, M. Buck4, H. Deutschmann1,2 Affiliations
1) Paracelsus Medizinische Universität, Salzburg, Austria,
2) medPhoton G.m.b.H., Salzburg, Austria,
3) Salzburger Landeskliniken (Radiotherapie), Salzburg, Austria,
4) Buck Engineering and Consulting, Reutlingen, Germany Abstract [EN]
Purpose/Objective(s):
To design and develop a combined imaging and patient alignment system for use in online patient position verification and correction in high-precision photon and particle radiotherapy. Besides boosting volumetric acquisition speed and imaging opportunities compared to present solutions, it has been a governing goal to tightly integrate imaging with machinery for motion compensation while keeping the overall system simple and economically competitive.
Materials/Methods:
The development comprises a ceiling-mounted, industrial six axis robot carrying a radiotransparent carbon fiber table top. The agility of the robot, which can be optionally ramped up with a seventh axis for extended workspace requirements, enables to position and move patients in all six degrees of freedom (DOF). Mass-induced flex of the couch is automatically compensated by a feedback loop based on video tracking. The table top is equipped with a high-strength aluminum ring construction which is able to slide in the longitudinal direction of the couch. Attached on the ring, two independently rotatable carbon fiber arms carry a two-dimensionally collimated x-ray monoblock system and an amorphous silicon detector, respectively. The three DOF of the table-mounted imaging system enable to track all clinically relevant anatomical sites of the patient in terms of large field of view (LFOV) planar imaging as well as LFOV cone-beam computed tomography (CBCT). The independently rotatable source and detector arms allow for accomplishing focused CBCT acquisition trajectories compared to conventional C-arm systems. Moreover, the collimation unit for the monoblock x-ray source is equipped with a rotating wheel featuring various filter material insets to support dual-energy imaging.
Results:
In June 2013 the patient alignment imaging ring (PAIR) system was firstly assembled at the emerging carbon ion facility MedAustron (Austria) and the concept feasibility - including pre-clinical control and collision avoidance software as well as open research interfaces - was proven. Basic system characterization: CBCT LFOV axial: 600 mm (axial) and 320 mm (longitudinal), CBCT acquisition speed (up to 4 rotations/min), 60 to 120 kVp x-ray range, 200 kg maximum patient weight and more than 5 deg pitch/roll.
Conclusions:
Our consortium has successfully proven that an innovative robotic imaging and positioning solution, suited for both conventional and particle therapy, is feasible. The next step is to translate the current system into the clinical theater to enrich radiotherapy with fast and dose-efficient nonisocentric CBCT, LFOV planar imaging for position verification, fast 2D/3D tracking and motion compensation protocols, dual-energy-based soft/dense tissue contrast accentuation and tissue characterization improvements which are exceptionally important in the field of proton and carbon ion therapy.
Presentation at the 55th annual meeting of the American Society for Radiation Oncology (ASTRO).
[2013] Proof of Concept: PAIR – Patient Alignment Imaging Ring
P. Steininger1,2, H. Weichenberger1,2, M. Neuner1, M. Mooslechner1, B. Mitterlechner3, M. Pinzger1, A. Boehler1, M. Mehrwald1, F. Rottensteiner5, M. Teichmeister5, R. Meier2, A. Zechner5, C. Gaisberger3, J. Ematinger2,3, F. Ginzinger1, J. Deutschmann3, S. Huber1, T. Ruzicka2, K. Winklinger3, M. Buck4, I. Lakhdhar5, S. Rais5, F. Sedlmayer1,2,3, H. Deutschmann1,2,3 Affiliations
1) Institute for Research and Development on Advanced Radiation Technologies (radART), Paracelsus Medizinische Universität, Salzburg, Austria,
2) medPhoton G.m.b.H., Salzburg, Austria,
3) Salzburger Landeskliniken (Radiotherapie), Salzburg, Austria,
4) Buck Engineering and Consulting, Reutlingen, Germany
5) EBG MedAustron G.m.b.H., Wr. Neustadt, Austria
In June the PAIR system was firstly assembled at the emerging carbon ion facility MedAustron (Austria) and the concept feasibility - including pre-clinical control and collision avoidance software as well as open research interfaces - was proven.
[2012][PRESENTATION] ÖGMP Symposium at ÖGRO
PHY 7 Röntgenbildbasierte 2D/3D Bildregistrierung am LINAC: Entwicklungen, Validierung, Anmerkungen und Visionen
Steininger Ph., Neuner M., Sedlmayer F., Deutschmann H.; Abstract [DE]
Rationale,
Unser Institut hat sich seit Beginn der Kommerzialisierung von sogenannten kV-basierten
Onboard-Imaging-Systemen der Akquisition einzelner, planarer Projektionsaufnahmen zur
Lokalisation des anatomischen Zielgebietes verschrieben. Die Rationale hierfür liegt vor
allem in den potentiell schnellen Rückkopplungsschleifen, die im Vergleich zu
volumetrischen Aufnahmeprotokollen wie etwa Cone-Beam Computer-Tomographie (CB-
CT), zusätzlich wesentlich weniger Dosisdeposition implizieren, und mitunter intrafraktionelle
Kontroll- und Ausrichtungsprozesse unterstützen. Neben extrinsischen, also Marker-
basierten Ausrichtungsalgorithmen, wurden in den letzten Jahren intensitätsbasierte, d.h.
direkt auf den Bilddaten und damit auf den abgebildeten anatomischen Merkmalen
operierende, Ansätze am Institut entwickelt, validiert und in die klinischen Arbeitsabläufe
integriert. In diesem Zusammenhang spricht man von der 2D/3D Registrierung, einem
Algorithmus, der anhand eines Planungs-CTs und eines oder mehrerer kV-Röntgenbilder
des Patienten unmittelbar vor oder während der Bestrahlung am LINAC mögliche
Mispositionierungen quantifiziert. Damit kann die Patientenposition und/oder der Bestrahlungsplan
so adaptiert werden, dass eine – im Sinne der jeweiligen Bestrahlungsplanung – bestmögliche Therapie appliziert wird.
In diesem Vortrag wird das derzeitige Portfolio unseres Instituts bezüglich intensitätsbasierter
2D/3D Registrierung umrissen, sowie die klinische Validierung des besagten Ansatzes
präsentiert.
Des Weiteren wird auf spezielle Eigenschaften, beispielsweise die
vollautomatisierte Automaskierung, und die nahtlose Integration in unser Radiotherapie-
System „open-radART― eingegangen. Zuletzt fokussieren wir auf potentielle Fallgruben, wie
etwa die Flexmap-Kalibrierung, die die 2D/3D Registrierungsgenauigkeit beträchtlich
beeinflussen können. Darüber hinaus skizzieren wir zukunftsträchtige Ansätze, die zu
intrafraktionellen Lokalisationsvorgängen beitragen sollen.
PHY 6 Robotic Positioning and Imaging
Deutschmann H., Neuner M., Steininger Ph., Pinzger M., Buck M., Sedlmayer F.; Abstract [EN]
A new European patent application is presented, describing an innovative imaging solution
for IGRT: a ceiling mounted robotic system that can be retro-fit installed in any bunker
providing much faster dual energy planar as well as volumetric images.
The present invention provides an imaging system comprising an imaging ring system with
carriage ring fixed to the carriage, first rotatable ring carrying a first imaging unit, and second
rotatable ring carrying a second imaging unit, wherein the first and second rotatable rings are
configured to be rotated independently from each other on the carriage ring. Preferably, the
first imaging unit is a radiation source and the second imaging unit is a radiation detector.
The carriage ring is mounted to a carriage which is guided along the longitudinal direction of
a patient couch by guiding means. The invention further provides a patient positioning
system for use in a medical intervention. The system comprises a robotic arm having six
axes, wherein a patient couch is fixed to the robotic arm via a C-shaped bow. The legs of the
C-shaped bow extend in a direction substantially parallel to the longitudinal extension of the
patient couch, one end of the C-shaped bow being fixed to a longitudinal end of the patient
couch and the other end of the bow being fixed to the robotic arm. The robotic arm is
configured to position a patient arranged on the patient couch in six degrees of freedom with
respect to a medical treatment or examination device. The robotic arm is ceiling mounted.
According to a preferred embodiment of the invention the guiding means of the imaging
system are fixed to the patient couch of the patient positioning system.
[2012][POSTER] PMU Science Get Together
Paracelsus Science Get Together, Salzburg 2012 Jun
Clinical implementation of an automatic mask generation framework for use in radiotherapy patient positioning with 2D/3D image registration to achieve hybrid inter- and infrafractional patient position monitoring and multi-component adaptive beam delivery based on bony anatomy
Validation of auto-masked 2D/3D image registration in true pelvis
Steininger P., Neuner M., Weichenberger H., Sharp G.C., Winey B., Kametriser G., Sedlmayer F., Deutschmann H.
Implementation and Verification of a Monte Carlo Dose Calculation System
Weichenberger H., Steininger P., Böhler A., Mooslechner M., Neuner M., Zechner A., Huber S., Sedlmayer F., Deutschmann H.
[2012][PRESENTATION] TH-C-BRA-10: An Open-Source 2D/3D-Image-Registration Algorithm
Warmerdam G., Steininger P., Neuner M., Sharp G., Winey B.
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Abstract [EN]
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image registration algorithm in the context of cranial image guided radiotherapy.
Methods: The open source 2D/3D image registration algorithm, Reg23, has been released under the GNU license. The algorithm utilizes an iterative digitally reconstructed radiograph (DRR) approach to the image registration problem. The DRR generator is accelerated on a GPU to rapidly iterate the optimization process. Multiple cost functions are supported and were analyzed. Robustness was determined by comparing a baseline set of orthogonal kV images of a cranial phantom with a predetermined isocenter to the planned isocenter in the CT image set and introducing more than 6000 combinations of rotations and translation to the position of the isocenter in the CT. Accuracy and time efficiency of various cost function were analyzed for the virtual patient shifts. Furthermore, a set of 43 experimental orthogonal images were acquired with a linac mounted kV imaging system of predetermined physical shifts which were compared to the results of the Reg23 algorithm.
Results: The Reg23 algorithm was found to be accurate to 0.04±0.02mm for the virtual isocenter shifts and 0.23±0.40mm for real images compared to the CBCT registration results. Time to solution could be reduced from >70 s to < 40 s without a significant change in the algorithm accuracy depending upon the cost function employed.
Conclusions: The Reg23 algorithm is robust and sensitive to sub‐mm variations of virtual shifts of the isocenter position. The Normalized Cross Correlation (NCC) cost function was determined to be most accurate and fastest for cranial image registration. For real experimental data, the Gradent Difference (GD) cost function was most accurate and both GD and NCC delivered results accurate to within 0.5 mm and 0.4° when compared to CBCT/CT registrations.
BibTex
Warmerdam G., Steininger P., Neuner M., Sharp G., Winey B., TH-C-BRA-10: An Open-Source 2D/3D-Image-Registration Algorithm: Cranial Image Guided Radiotherapy; Med Phys. 2012 Jun;39(6):4001.
- bibtex.bib
@conference{warmerdam:4001,
author = {G Warmerdam and P Steininger and M Neuner and G Sharp and B Winey},
collaboration = {},
title = {TH-C-BRA-10: An Open-Source 2D/3D-Image-Registration Algorithm: Cranial Image Guided Radiotherapy},
publisher = {AAPM},
year = {2012},
volume = {39},
number = {6},
pages = {4001-4001},
url = {http://link.aip.org/link/?MPH/39/4001/4},
doi = {10.1118/1.4736326}
}
[2012][ARTICLE] Auto-masked 2D/3D image registration and its validation with clinical cone-beam computed tomography
Steininger P., Neuner M., Kametriser G., Sharp GC., Winey B., Weichenberger H., Sedlmayer F., Deutschmann H.; Phys Med Biol.
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Absract
Image-guided alignment procedures in radiotherapy aim at minimizing discrepancies between the planned and the real patient setup. For that purpose, we developed a 2D/3D approach which rigidly registers a computed tomography (CT) with two x-rays by maximizing the agreement in pixel intensity between the x-rays and the corresponding reconstructed radiographs from the CT. Moreover, the algorithm selects regions of interest (masks) in the x-rays based on 3D segmentations from the pre-planning stage. For validation, orthogonal x-ray pairs from different viewing directions of 80 pelvic cone-beam CT (CBCT) raw data sets were used. The 2D/3D results were compared to corresponding standard 3D/3D CBCT-to-CT alignments. Outcome over 8400 2D/3D experiments showed that parametric errors in root mean square were <0.18° (rotations) and <0.73 mm (translations), respectively, using rank correlation as intensity metric. This corresponds to a mean target registration error, related to the voxels of the lesser pelvis, of <2 mm in 94.1% of the cases. From the results we conclude that 2D/3D registration based on sequentially acquired orthogonal x-rays of the pelvis is a viable alternative to CBCT-based approaches if rigid alignment on bony anatomy is sufficient, no volumetric intra-interventional data set is required and the expected error range fits the individual treatment prescription.
BibTex
Steininger P., Neuner M., Kametriser G., Sharp GC., Winey B., Weichenberger H., Sedlmayer F., Deutschmann H., Auto-masked 2D/3D image registration and its validation with clinical cone-beam computed tomography; Phys Med Biol. 2012 Jun 15;57(13):4277-4292. [Epub ahead of print], PMID:22705709
- bibtex.bib
@article{0031-9155-57-13-4277,
author={P Steininger and M Neuner and H Weichenberger and G C Sharp and B Winey and G Kametriser and F Sedlmayer and H Deutschmann},
title={Auto-masked 2D/3D image registration and its validation with clinical cone-beam computed tomography},
journal={Physics in Medicine and Biology},
volume={57},
number={13},
pages={4277},
url={http://stacks.iop.org/0031-9155/57/i=13/a=4277},
year={2012}
}
[2012][PRESENTATION] Plastimatch 1.6 -- current capabilities and future directions; MICCAI, Proceedings of the First International Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therapy
Shackleford J.A., Shusharina N., Verberg J., Warmerdam G., Winey B., Neuner M., Steininger P., Arbisser A., Golland P., Lou Y., Paganelli C., Peroni M., Riboldi M., Baroni G., Zaffino P., Spadea M.F., Apte A., Saleh Z., Deasy J.O., Mori S., Kandasamy N., Sharp G.C.; Proceedings of the First International Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therapy; 01/2012
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Absract
Open-source software provides an economic benefit by reducing duplicated development effort, and advances science knowledge by fostering a culture of reproducible experimentation. This paper describes recent advances in the plastimatch open software suite, which implements a broad set of useful tools for research and practice in radiotherapy and medical imaging. The focus of this paper is to highlight recent advancements, including 2D-3D registration, GPU-accelerated mutual information, analytic regularization of B-spline registration, automatic 3D feature detection and feature matching, and radiotherapy plan evaluation tools.
BibTex
Shackleford J.A., Shusharina N., Verberg J., Warmerdam G., Winey B., Neuner M., Steininger P., Arbisser A., Golland P., Lou Y., Paganelli C., Peroni M., Riboldi M., Baroni G., Zaffino P., Spadea M.F., Apte A., Saleh Z., Deasy J.O., Mori S., Kandasamy N., Sharp G.C.; Conference Proceeding: Plastimatch 1.6 – current capabilities and future directions; MICCAI, Proceedings of the First International Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therapy; 01/2012
- bibtex.bib
@Article{Shackleford+Shusharina+Verberg+Warmerdam+Winey+Neuner+Steininger+Arbisser+Golland+Lou+Paganelli+Peroni+Riboldi+Baroni+Zaffino+Spadea+Apte+Saleh+Deasy+Mori+Kandasamy+Sharp2012
Author = "J.A. Shackleford and N. Shusharina and J. Verberg and G. Warmerdam and B. Winey and M. Neuner and P. Steininger and A. Arbisser and P. Golland and Y. Lou and C. Paganelli and M. Peroni and M. Riboldi and G. Baroni and P. Zaffino and M.F. Spadea and A. Apte and Z. Saleh and J.O. Deasy and S. Mori and N. Kandasamy and G.C. Sharp",
Title = "Plastimatch 1.6 – Current Capabilities and Future Directions",
Year = 2012,
Month = 10,
Abstract = "Open-source software provides an economic benefit by reducing duplicated development effort, and advances science knowledge by fostering a culture of reproducible experimentation. This paper describes recent advances in the plastimatch open software suite, which implements a broad set of useful tools for research and practice in radiotherapy and medical imaging. The focus of this paper is to highlight recent advancements, including 2D-3D registration, GPU-accelerated mutual information, analytic regularization of B-spline registration, automatic 3D feature detection and feature matching, and radiotherapy plan evaluation tools.",
Journal = "Int Conf Med Image Comput Comput Assist Interv",
Publisher = "Int Conf Med Image Comput Comput Assist Interv. MICCAI 2012",
Institution = "Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA.",
Sponsor = "NSF ERC Innovation Award EEC 0946463,
NIH/ NCI PO1 CA 21239
National Center for Research Resources P41-RR13218
National Institute of Biomedical Imaging and Bioengineering P41 EB015902 of the National Institutes of Health
National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research U54 EB005149",
Keywords = "Open source software, medical imaging, software engineering, radiotherapy",
}
[2012][PRESENTATION] Long Night of Science
FH Linz, Austria; Representation of the paracelsus medicla University.
[2012] Miscellaneous
PMU-FFF Rise Project R-10/04/018-STE final report
Project: “Feasibility Study: NREG2D/3D – A Generic Method For Image Guided Inter-Fractional Patient Positioning in Radiotherapy”; Steininger P., radART institute
Medical Physics paper review
Reviewed paper submission to Medical Physics.
[2012][ARTICLE] Influence of imaging source and panel position uncertainties on the accuracy of 2D∕3D image registration of cranial images
Boston Warmerdam G., Steininger P., Neuner M., Sharp G., Winey B. , Influence of imaging source and panel position uncertainties on the accuracy of 2D∕3D image registration of cranial images; Med Phys. 2012 Sep;39(9):5547-56. Doi: 10.1118/1.4742866.
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Absract
PURPOSE: To determine the effects of imager source and panel positioning uncertainties on the accuracy of dual intensity-based 2D∕3D image registration of cranial images.
METHODS: An open source 2D∕3D image registration algorithm has been developed for registration of two orthogonal x-rays to a 3D volumetric image. The initialization files of the algorithm allow for nine degrees of freedom system calibration including x, y, z positions of the source and panel, and three rotational degrees of freedom of the panel about each of the three translational axes. A baseline system calibration was established and a baseline 2D∕3D registration between two orthogonal x-rays and the volumetric image was determined. The calibration file was manipulated to insert errors into each of the nine calibration variables of both imager geometries. Rigid six degrees of freedom registrations were iterated for each panel or source positional error over a range of predetermined calibration errors to determine the resulting error in the registration versus the baseline registration due to the manipulated error of the panel or source calibration.
RESULTS: Panel and source translational errors orthogonal to the imager∕panel axis introduced the greatest errors in the registration accuracy (4.0 mm geometric error results in up to 2.7 mm registration error). Panel rotation about the imaging direction also resulted in errors of the registration (2.0° geometric error results in up to 1.7° registration error). Differences in magnification and panel tilt and roll, i.e., source and∕or panel translation along the imaging direction and panel rotations about the orthogonal axes had minimal effects on the registration accuracy (below 0.3 mm and 0.2° registration error).
CONCLUSIONS: While five of the nine imaging system variables were found to have a considerable effect on 2D∕3D registration accuracy of cranial images, the other four variables showed minimal effects. Vendors typically provide simplified calibration procedures which aim to remove encountered geometric uncertainties by accounting for two panel translations. This study shows that at least the five relevant positional variables should be separately calibrated, if accurate alignment is required for 2D∕3D registration.
BibTex
Warmerdam G., Steininger P., Neuner M., Sharp G., Winey B. , Influence of imaging source and panel position uncertainties on the accuracy of 2D∕3D image registration of cranial images; Med Phys. 2012 Sep;39(9):5547-56. Doi: 10.1118/1.4742866.
- bibtex.bib
@article{warmerdam:5547,
author = {Guy Warmerdam and Philipp Steininger and Markus Neuner and Gregory Sharp and Brian Winey},
collaboration = {},
title = {Influence of imaging source and panel position uncertainties on the accuracy of 2D/3D image registration of cranial images},
publisher = {AAPM},
year = {2012},
journal = {Medical Physics},
volume = {39},
number = {9},
pages = {5547-5556},
keywords = {brain; calibration; computerised tomography; diagnostic radiography; image registration; medical image processing},
url = {http://link.aip.org/link/?MPH/39/5547/1},
doi = {10.1118/1.4742866}
}
[2012] Patent: Patient Positioning and Imaging System
H. Deutschmann, M. Neuner, P. Steininger, M. Pinzger, M. Buck
Abstract
The present invention provides an imaging system comprising an imaging ring system with
carriage ring fixed to the carriage, first rotatable ring carrying a first imaging unit, and
second rotatable ring carrying a second imaging unit, wherein the first and second rotatable
rings are configured to be rotated independently from each other on the carriage ring.
Preferably, the first imaging unit is a radiation source and the second imaging unit is a
radiation detector. The carriage ring is mounted to a carriage which is guided along the
longitudinal direction of a patient couch by guiding means. The invention further provides
a patient positioning system for use in a medical intervention. The system comprises a
robotic arm having six axes, wherein a patient couch is fixed to the robotic arm via a C-
shaped bow. The legs of the C-shaped bow extend in a direction substantially parallel to
the longitudinal extension of the patient couch, one end of the C-shaped bow being fixed to
a longitudinal end of the patient couch and the other end of the bow being fixed to the
robotic arm. The robotic arm is configured to position a patient arranged on the patient
couch in six degrees of freedom with respect to a medical treatment or examination device.
The robotic arm is ceiling mounted. According to a preferred embodiment of the invention
the guiding means of the imaging system are fixed to the patient couch of the patient
positioning system.
[2012] Feasibility Report: Patient Positioning and Image Guidance Concepts for MedAustron
H. Deutschmann, M. Neuner, M. Pinzger, H. Weichenberger, M. Mooslechner, C. Gaisberger, P. Kopp, P. Steininger; 119 pages; Institute for research and development on advanced radiation technologies (radART),
Paracelsus Medical University (PMU) Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
[2011][PRESENTATION] ÖGMP Symposium at ÖGRO
ÖGMP symposium at the 28th annual conference of the Austrian society for radiooncology, radiobiology, and medicla physics. Vienna.
Cone-beam CT vs. automatisierte planare Bildgebung und -registrierung zur interfraktionellen Patientenpositionierung
Steininger P., Neuner M., Kametriser G., Sedlmayer F., Deutschmann H.;
GPU-beschleunigte Mehrweg-2D/3D-Registrierung und Automaskierung zur interfraktionellen Patientenpositionierung: erste klinische Ergebnisse am Beispiel des Beckens.
Steininger P., Neuner M., Deutschmann H., Sedlmayer F.
[2011][PRESENTATION] IGRT 2011 - 2D/3D registration in clinical practice
Congress for Image guidance in Radiotherapy in Salzburg, Austria.
Oragnization and presentation (workshop): “2D/3D registration in clinical practice”
[2011] MedAustron open-radART ion Project Proposal
H. Deutschmann, F. Sedlmayer, P. Steininger, M. Neuner, S. Huber, C. Gaisberberger, B. Mitterlechner, M. Mooslechner; 47 pages; Institute for research and development on advanced radiation technologies (radART),
Paracelsus Medical University (PMU) Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Intention
In this project description, the institute for research and development on advanced radiation technologies (radART) of the Paracelsus Medical University (PMU) Salzburg outlines a scientific collaboration with EBG MedAustron Ltd. in the field of developing, integrating and commissioning an open source software suite for the MedAustron ion therapy center in Wiener Neustadt, Austria. Besides the major goal of developing a range of integrated medical software components for the projected center kickoff (first patient treatment) in 2015, radART simultaneously emphasizes the development of profound architectures which enable cutting-edge hadron therapy research in the following years. As one of the leading photon centers in Austria with a strong focus on medical software development and medical imaging, radART is fully aware of the utmost importance of fast bidirectional interfaces, tight integration of radiotherapy software modules and seamless workflows for clinical as well as research purposes. Therefore, in this document, an innovative and open solution – in the following referred to as open-radART ion – is outlined.
The nature of this cooperation is both scientific and translational: Results of research and development will be published, and created intellectual property will not be transferred to MedAustron alone. It is clearly intended to disseminate major results of work (software and gain of knowledge) to the scientific community by journal publications or presentations at meetings. Other particle therapy centers and/or photon facilities may gain from this work in extended or parallel cooperations – it is intended to create progress in the field of advanced radiotherapy in general.
Medical software at radART institute is developed in accordance with EN 13485, EN 14971 and EN 60601 in order to be clinically releasable as a medical device class IIb. The QA system comprises audited software life cycle development including the adequate process framework for installation and maintenance as well. Legally, radART will act as a manufacturer of a medical device and take responsibility for safe functioning of delivered software for a period exceeding the primary development phase, certainly provided that radART is contracted by MedAustron. This implies negotiations of a separate contract radART will actively cooperate with MedAustron in all phases from workflow and product definition to installation, training, commissioning and clinical operation of systems and provide accompanying QA processes. radART will continuously work on risk management, analyze user feedback reports and set proper actions to keep maximal performance and uptime of systems, but also to avoid safety hazards. It is important to note that the software components delivered by radART are only part of a complex complete system. However, MedAustron is responsible for the approval of the overall MedAustron facility system.
For the purpose of testing newly developed interfaces to third party equipment (hardware and software), which will be constructed or selected and purchased by MedAustron, radART will connect to installations and/or testing environments of such systems in early stages at CERN (e.g. MACS), at other particle therapy centers (CNAO, PSI), in Salzburg (e.g. PPVS), at later stages in Wiener Neustadt (e.g. PPS). For that purpose, staff of radART institute will be sent to external centers for longer time periods if required for the purpose of cooperation. This is especially important during the commissioning phase of open-radART ion (2014/15 ff) in Wiener Neustadt.
It is intended that radART will deliberate with and provide advice to MedAustron in tendering processes as far as interfaces and functionality to be modeled software-wise are concerned.
[2011][PRESENTATION] Automatic mask generation for 2D/3D image registration with clinical images of the pelvis
M. Neuner, P. Steininger, C. Mittendorfer, F. Sedlmayer, H. Deutschmann
CARS 2011, June 22–25, Berlin, Germany - Computer Assisted Radiology 25th International Congress and Exhibition
Session: Computer Assisted Radiation Therapy - CART
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BibTex
M. Neuner, P. Steininger, C. Mittendorfer, F. Sedlmayer, H. Deutschmann. Automatic mask generation for 2D/3D image registration with clinical images of the pelvis. CARS 2011, June 22–25, Berlin, Germany - Computer Assisted Radiology 25th International Congress and Exhibition Session: Computer Assisted Radiation Therapy - CART
- bibtex.bib
@inproceedings{Neuner:2011,
author = {M. Neuner and P. Steininger and C. Mittendorfer and F. Sedlmayer and H. Deutschmann},
title = {Automatic mask generation for 2D/3D image registration with clinical images of the pelvis},
booktitle = {Proc. CARS 2011},
year = {2011}
address = {Berlin, Germany}
}
[2011][PRESENTATION] Clinical implementation of GPU-accelerated n-way 2D/3D image registration for inter-fractional patient positioning in radiotherapy
P. Steininger, M. Neuner, C. Mittendorfer, P. Scherer, F. Sedlmayer, H. Deutschmann
CARS 2011, June 22–25, Berlin, Germany - Computer Assisted Radiology 25th International Congress and Exhibition
Session: Computer Assisted Radiation Therapy - CART
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BibTex
P. Steininger, M. Neuner, C. Mittendorfer, P. Scherer, F. Sedlmayer, H. Deutschmann. Clinical implementation of GPU-accelerated n-way 2D/3D image registration for inter-fractional patient positioning in radiotherapy. CARS 2011, June 22–25, Berlin, Germany - Computer Assisted Radiology 25th International Congress and Exhibition Session: Computer Assisted Radiation Therapy - CART Radiation Therapy - CART
- bibtex.bib
@inproceedings{Neuner:2011,
author = {P. Steininger and M. Neuner and C. Mittendorfer and P. Scherer and F. Sedlmayer and H. Deutschmann},
title = {Clinical implementation of GPU-accelerated n-way 2D/3D image registration for inter-fractional patient positioning in radiotherapy},
booktitle = {Proc. CARS 2011},
year = {2011}
address = {Berlin, Germany}
}
[2011][PRESENTATION] A novel class of machine-learning-driven real-time 2D/3D tracking methods: texture model registration (TMR)
Steininger P, Neuner M, Fritscher K, Sedlmayer F, Deutschmann H. vol. 7964. SPIE
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BibTex
Steininger P, Neuner M, Fritscher K, Sedlmayer F, Deutschmann H. A novel class of machine-learning-driven real-time 2D/3D tracking methods: texture model registration (TMR). vol. 7964. SPIE; 2011. p. 79640G. Available from: http://link.aip.org/link/?PSI/7964/79640G/1.
- bibtex.bib
@CONFERENCE{steininger:79640G,
author = {Philipp Steininger and Markus Neuner and Karl Fritscher and Felix Sedlmayer and Heinrich Deutschmann},
editor = {Kenneth H. Wong and David R. Holmes III},
title = {A novel class of machine-learning-driven real-time 2D/3D tracking methods: texture model registration (TMR)},
publisher = {SPIE},
year = {2011},
journal = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling},
volume = {7964},
number = {1},
eid = {79640G},
numpages = {9},
pages = {79640G},
location = {Lake Buena Vista, Florida, USA},
url = {http://link.aip.org/link/?PSI/7964/79640G/1},
doi = {10.1117/12.878147},
}
[2010][PRESENTATION] Real-time intensity-based 2D/3D-tracking using Texture-Models
Steininger P., Neuner M., Fritscher K. Real-time intensity-based 2D/3D-tracking using Texture-Models (Tagung der Österreichischen Gesellschaft für Medizinische Physik – ÖGMP, Salzburg 2010)
[2010][POSTER] Texture-Model-based Real-Time Tracking with Planar Image Data
Steininger P., Neuner M., Fritscher K., Sedlmayer F., Deutschmann H.; (Paracelsus Medical University Science Get Together, Salzburg 2010 Jun)
[2010][ARTICLE] An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric
Steininger P, Neuner M, Birkfellner W, Gendrin C, Mooslechner M, Bloch C, et al. Insight Journal.
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BibTex
Steininger P, Neuner M, Birkfellner W, Gendrin C, Mooslechner M, Bloch C, et al. An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric. Insight Journal. 2010 Nov;Available from: http://hdl.handle.net/10380/3229.
- bibtex.bib
@ARTICLE{IJSRC2010,
author = {Philipp Steininger and Markus Neuner and Wolfgang Birkfellner and Christelle Gendrin and Michaela Mooslechner and Christoph Bloch and Supyianto Pawiro and Felix Sedlmayer and Heinrich Deutschmann},
title = {An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric},
year = {2010},
month = {Nov},
journal = {Insight Journal},
url = {http://hdl.handle.net/10380/3229}
}
[2009][TECHREPORT] An extended ITK-based Framework for Intensity-based 2D/3D-Registration
Steininger P, Neuner M, Schubert R.
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BibTex
Steininger P, Neuner M, Schubert R. An extended ITK-based Framework for Intensity-based 2D/3D-Registration. Institute for Biomedical Image Analysis (IBIA), University for Health Sciences, Medical Informatics and Technology (UMIT), Hall in Tyrol, Austria; Institute for Research and Development on Advanced Radiation Technologies (radART), Paracelsus Medical Univer sity (PMU), Salzburg, Austria; 2009.
- bibtex.bib
@TECHREPORT{Steininger2009,
author = {Philipp Steininger and Markus Neuner and Rainer Schubert},
title = {An extended ITK-based Framework for Intensity-based 2D/3D-Registration},
institution = {Institute for Biomedical Image Analysis (IBIA), University for Health Sciences, Medical Informatics and Technology (UMIT), Hall in Tyrol, Austria; Institute for Research and Development on Advanced Radiation Technologies (radART), Paracelsus Medical University (PMU), Salzburg, Austria},
year = {2009},
month = {Dec},
url = {http://ibia.umit.at/ResearchGroup/Phil/web/Simple2D3DRegistrationFramework.html}
}
SUPERVISION
Supervision of students and trainees.
[2011/12] Level Set Segmentation
E. Freiberger. FH Salzburg master project: Informationstechnik und System-Management. Referenzsubjekt-basierte Autosegmentierung von anatomischen Strukturen mittels deformierbarer Registrierung und Level-Set-Segmentierung
[2011] 2D/3D Shape Model registration
[2011] Graph-based state and configuration engine for generic scripting entities
Sageder C., Russegger J., Egger N. FH Salzburg master project: Informationstechnik und System-Management. Graph-based state and configuration engine for generic scripting entities
[2010/11] Patient Setup workflow
Winkler C., Weber T., Reiter M. FH Salzburg master project: Informationstechnik und System-Management. Patient Setup workflow
[2011-13] Trainees
Guidance, introduction and training of several trainees, new employees in the field of radiotherapy, medical image processing, data formats, normative regulations, system architecture and workflows.