Using 3-D OFEM for movement correction and quantitative evaluation in dynamic cardiac NH3 PET images

Hong-Dun Lin; Bang-Hung Yang; Chih-Hao Chen; Liang-Chih Wu; Ren-Shyan Liu; Being-Tau Chung; Kang-Ping Lin

doi:10.1117/12.594022

14 April 2005 Using 3-D OFEM for movement correction and quantitative evaluation in dynamic cardiac NH₃ PET images

Hong-Dun Lin, Bang-Hung Yang, Chih-Hao Chen, Liang-Chih Wu, Ren-Shyan Liu, Being-Tau Chung, Kang-Ping Lin

Proceedings Volume 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images; (2005) https://doi.org/10.1117/12.594022
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Various forms of cardiac pathology, such as myocardial ischemia and infarction, can be characterized with ¹³NH₃-PET images. In clinical situation, polar map (bullseye image), which derived by combining images from multiple planes (designated by the circle around the myocardium in the above images), so that information of the entire myocardium can be displayed in a single image for diagnosis. However, image artifact problem always arises from body movement or breathing motion in image acquisition period and results in indefinite myocardium disorder region shown in bullseye image. In this study, a 3-D motion and movement correction method is developed to solve the image artifact problem to improve the accuracy of diagnostic bullseye image. The proposed method is based on 3-D optical flow estimation method (OFEM) and cooperates with the particular dynamic imaging protocol, which snaps serial PET images (5 frames) in later half imaging period. The 3-D OFEM assigns to each image point in the visual 3-D flow velocity field, which associates with the non-rigid motion of the time-varying brightness of a sequence of images. It presents vectors of corresponding images position between frames for motion correction. To validate the performance of proposed method, 10 normal and 20 abnormal whole-body dynamic PET imaging studies were applied, and the results show that the bullseye images, which generated by corrected images, present clear and definite tissue region for clinical diagnosis.

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Hong-Dun Lin, Bang-Hung Yang, Chih-Hao Chen, Liang-Chih Wu, Ren-Shyan Liu, Being-Tau Chung, and Kang-Ping Lin "Using 3-D OFEM for movement correction and quantitative evaluation in dynamic cardiac NH₃ PET images", Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); https://doi.org/10.1117/12.594022

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KEYWORDS

3D image processing

Positron emission tomography

3D acquisition

Image processing

3D modeling

Medical imaging

Motion estimation

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