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Improved C-arm Computed Tomography for the Early Diagnosis of OsteoarthritisOsteoarthritis (OA) is the leading cause of functional
decline and disability in aging populations. Yet, the causes
and progression of OA, particularly in the early stages,
remain poorly understood. Current OA imaging measures are
insensitive to early changes, or are logistically
challenging and limited by expense and long scan times.The comprehensive goal of this project is to develop novel
weight-bearing computed tomography (CT) imaging to support
an imaging biomarker <93>stress test<94> of the knee joint.
This test will then reveal abnormal tissue biomechanics and
kinematics that put a knee at high risk for OA, by measuring
the articular cartilage deformation between different
weight-bearing conditions. 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 this project
we opted for a C-arm device that can be almost arbitrarily
positioned in space. This allows for a horizontal trajectory
which is necessary to acquire images whilst the patient is
standing upright or in squatting position. From a medical image reconstruction point of view, there
exist two main challenges. First, the limited detector size
of C-arm CTs leads to difficulties in acquiring images from
two adjoining knees in their natural position. Therefore,
one goal is to explore so called large volume techniques
which extend the field of view by adjusting the imaging
trajectory to the objects shape. Another goal of this
project will be to investigate methods for motion
correction, as the standing position results in increased
patient motion during image acquisition and therefore to
increased motion artefacts. Multiple methods are conceivable
that give additional information about patient motion. For
example metallic markers that encode the object's position
in the different detector images. Also external range
imaging cameras could be used to keep track of the motion
during a scan. Both methods would then allow the
registration of different detector images, to allow for a
correct reconstruction of the volume of interest. This volume is then used to compute the necessary metrics of
the knee joint, which can be interpreted as a biomarker for
evaluating the risk of osteoarthritis.
| Project manager: Prof. Dr.-Ing. habil. Andreas Maier, Rebecca Fahrig, Ph.D.
Project participants: Dr.-Ing. Martin Berger, PD Dr.-Ing. Christian Riess
Keywords: Osteoarthritis; Computed Tomography; C-arm; Motion Correction; Large Volume CT
Duration: 1.1.2013 - 31.12.2015
Sponsored by: Erlangen Graduate School of Heterogeneous Image Systems
Mitwirkende Institutionen: Department of Radiology, Stanford University, Stanford, CA, USA.
Contact: Maier, Andreas Phone +49 9131 85 27883, Fax +49 9131 85 27270, E-Mail: andreas.maier@fau.de
| Publications |
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Riess, Christian ; Berger, Martin ; Wu, Haibo ; Manhart, Michael ; Fahrig, Rebecca ; Maier, Andreas: TV or not TV? That is the Question. In: Richard M. Leahy ; Jinyi Qi (Ed.) : Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D 2013 Lake Tahoe, CA, USA 16.06.2013). 2013, pp 341-344. |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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