Share Email Print

Proceedings Paper

Using 3-D OFEM for movement correction and quantitative evaluation in dynamic cardiac NH3 PET images
Author(s): Hong-Dun Lin; Bang-Hung Yang; Chih-Hao Chen; Liang-Chih Wu; Ren-Shyan Liu; Being-Tau Chung; Kang-Ping Lin
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 14 April 2005
PDF: 10 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.594022
Show Author Affiliations
Hong-Dun Lin, Chung-Yuan Univ. (Taiwan)
Industrial Technology Research Institute (Taiwan)
Bang-Hung Yang, Taipei Veterans General Hospital (Taiwan)
Chih-Hao Chen, Taipei Veterans General Hospital (Taiwan)
Liang-Chih Wu, Taipei Veterans General Hospital (Taiwan)
Ren-Shyan Liu, Taipei Veterans General Hospital (Taiwan)
Being-Tau Chung, Chung-Yuan Univ. (Taiwan)
Kang-Ping Lin, Chung-Yuan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?