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Improved C-arm Computed Tomography for the Early Diagnosis of OsteoarthritisEspecially in aging populations, Osteoarthritis (OA) is
one of the leading causes for disability and functional
decline of the body. Yet, the causes and progression of
OA, particularly in the early stages, remain poorly
understood. Current OA imaging measures require long scan
times and are logistically challenging. Furthermore they
are often insensitive to early changes of the tissue.The overarching goal of this project is the development
of a novel computed tomography imaging system allowing
for an analysis of the knee cartilage and menisci under
weight-bearing conditions. The articular cartilage
deformation under different weight-bearing conditions
reveals information about abnormal motion patterns, which
can be an early indicator for arthritis. This can help to
detect the medical condition at an early stage. To allow for a scan in standing or squatting position, we
opted for a C-arm CT device that can be almost
arbitrarily positioned in space. The standard application
area for C-arm CT is in the interventional suite, where
it usually acquires images using a vertical trajectory
around the patient. For the recording of the knees in
this project, a horizontal trajectory has been developed. Scanning in standing or squatting position makes an
analysis of the knee joint under weight-bearing
conditions possible. However, it will also lead to
involuntary motion of the knees during the scan. The
motion will result in artifacts in the reconstruction
that reduce the diagnostic image quality. Therefore, the
goal of this project is to estimate the patient motion
during the scan to reduce these artifacts. One approach
is to compute the motion field of the knee using surface
cameras and use the result for motion correction. Another
possible approach is the design and evaluation of a
biomechanical model of the knee using inertial sensors to
compensate for movement. After the correction of the motion artifacts, the
reconstructed volume is used for the segmentation and
quantitative analysis of the knee joint tissue. This will
give information about the risk or the progression of an
arthrosis disease. | Project manager: Prof. Dr.-Ing. habil. Andreas Maier, Ph.D. Rebecca Fahrig
Project participants: Bastian Bier, M. Sc., Jennifer Maier, M. Sc., Ph.D. Serena Bonaretti, Ph.D. Marc Levenston, M.D. Garry Gold, Sc.D. Norbert Pelc
Keywords: Osteoarthritis; Computed Tomography; C-arm; Motion Correction
Duration: 1.1.2016 - 31.12.2018
Sponsored by: Erlangen Graduate School of Heterogeneous Image Systems
Contact: Maier, Andreas Phone +49 9131 85 27883, Fax +49 9131 85 27270, E-Mail: andreas.maier@fau.de
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Bier, Bastian ; Berger, Martin ; Maier, Jennifer ; Unberath, Mathias ; Scott Hsieh ; Serena Bonaretti ; Rebecca Fahrig ; Marc E. Levenston ; Garry E. Gold ; Maier, Andreas: Object Removal in Gradient Domain of Cone-Beam CT Projections. In: IEEE (Ed.) : 2016 IEEE Nuclear Science Symposuim & Medical Imaging Conference Record (IEEE Nuclear Science Symposuim & Medical Imaging Conference (NSS/MIC) Straßburg 29.10.2016-05.11.2016). 2016, pp -. | Berger, Martin ; Müller, Kerstin ; Aichert, André ; Unberath, Mathias ; Thies, Justus ; Choi, Jang-Hwan ; Fahrig, Rebecca ; Maier, Andreas: Marker-free motion correction in weight-bearing cone-beam CT of the knee joint. In: Medical Physics 43 (2016), No. 3, pp 1235-1248 [doi>10.1118/1.4941012] | Berger, Martin ; Müller, Kerstin ; Choi, Jang-Hwan ; Aichert, André ; Maier, Andreas ; Fahrig, Rebecca: 2D/3D Registration for Motion Compensated Reconstruction in Cone-Beam CT of Knees Under Weight-Bearing Condition. In: Jaffray, David A. (Ed.) : IFMBE Proceedings (World Congress on Medical Physics and Biomedical Engineering Toronto, Canada June 7-12, 2015). 51. Edition 2015, pp 54-57. - ISBN 978-3-319-19387-8 [doi>10.1007/978-3-319-19387-8] | Müller, Kerstin ; Berger, Martin ; Choi, Jang-Hwan ; Maier, Andreas ; Fahrig, Rebecca: Automatic Motion Estimation and Compensation Framework forWeight-bearing C-arm CT scans using Fiducial Markers. In: Jaffray, David A. (Ed.) : IFMBE Proceedings (World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada Toronto, Canada 07.06-12.06.2015). 51. Edition 2015, pp 58-61. - ISBN 978-3-319-19387-8 [doi>10.1007/978-3-319-19387-8] | Unberath, Mathias ; Choi, Jang-Hwan ; Berger, Martin ; Maier, Andreas ; Fahrig, Rebecca: Image-based Compensation for Involuntary Motion in Weight-bearing C-arm Cone-beam CT Scanning of Knees. In: David Manning, Steven C. Horii (Ed.) : Proc. SPIE Medical Imaging 2015 (SPIE Medical Imaging 2015 Orlando, FL 21-26.2.2015). Vol. 9413. 2015, pp 94130D-7. [doi>10.1117/12.2081559] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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