Paper
28 May 2019 A motion estimation and compensation algorithm for 4D CBCT of the abdomen
Seongjin Yoon, Alexander Katsevich, Michael Frenkel, Peter Munro, Pascal Paysan, Dieter Seghers, Adam Strzelecki
Author Affiliations +
Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110720E (2019) https://doi.org/10.1117/12.2534879
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
We propose an algorithm for periodic motion estimation and compensation in the case of a slowly rotating gantry, e.g., as is the case in cone beam CT. The main target application is abdomen imaging, which is quite challenging because of the absence of high-contrast features. The algorithm is based on minimizing a cost functional, which consists of the data fidelity term, the optical flow constraint term, and regularization terms. To find the appropriate solution we change the constraint strength and regularization strength parameters during the minimization. Results of experiments with simulated and clinical data demonstrate promising performance.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seongjin Yoon, Alexander Katsevich, Michael Frenkel, Peter Munro, Pascal Paysan, Dieter Seghers, and Adam Strzelecki "A motion estimation and compensation algorithm for 4D CBCT of the abdomen", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110720E (28 May 2019); https://doi.org/10.1117/12.2534879
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KEYWORDS
Abdomen

Motion estimation

Optical flow

Reconstruction algorithms

Chest

Computed tomography

Detection and tracking algorithms

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