Paper
13 March 2009 Joint image reconstruction and nonrigid motion estimation with a simple penalty that encourages local invertibility
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Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72580U (2009) https://doi.org/10.1117/12.811067
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Motion artifacts are a significant issue in medical image reconstruction. There are many methods for incorporating motion information into image reconstruction. However, there are fewer studies that focus on deformation regularization in motioncompensated image reconstruction. The usual choice for deformation regularization has been penalty functions based on the assumption that tissues are elastic. In the image registration field, there have been some methods proposed that impose deformation invertibility using constraints or regularization, assuming that organ motions are invertible transformations. However, most of these methods require very high memory or computation complexity, making them poorly suited for dealing with multiple images simultaneously in motion-compensated image reconstruction. Recently we proposed an image registration method that uses a simple penalty function based on a sufficient condition for the local invertibility of deformations.1 That approach encourages local invertibility in a fast and memory-efficient way. This paper investigates the use of that regularization method for the more challenging problem of joint image reconstruction and nonrigid motion estimation. A 2D PET simulation (based on realistic motion from real patient CT data) demonstrates the benefits of such motion regularization for joint image reconstruction/registration.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Se Young Chun and Jeffrey A. Fessler "Joint image reconstruction and nonrigid motion estimation with a simple penalty that encourages local invertibility", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72580U (13 March 2009); https://doi.org/10.1117/12.811067
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Cited by 24 scholarly publications and 1 patent.
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KEYWORDS
Image restoration

Motion estimation

Motion models

Spatial resolution

Image registration

Image quality

Medical imaging

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