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Proceedings Paper

Bulk motion detection and correction using list-mode data for cardiac PET imaging
Author(s): Tao Sun; Yoann Petibon; Paul Han; Chao Ma; Sally J. W. Kim; Nathaniel M. Alpert; Georges El Fakhri; Jinsong Ouyang
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Paper Abstract

Purpose: Image quality of cardiac PET is degraded by cardiac, respiratory, and bulk motion. The purpose of this work is to use PET list-mode data to detect and correct for bulk motion, which is unpredictable and must therefore be tracked at all times. Methods: We propose a data-driven approach that can detect and compensate bulk motion in cardiac PET imaging. Events in a motion-contaminated scan are binned into static (without intra-frame motion) and moving (with intra-frame motion) frames based on the variance of the center positions of line-of-responses calculated in each 1-second time window. Each moving frame is further divided into subframes, within which no motion is assumed. Data in each static and sub-moving-frame are then back-projected to the image space. The resulting images are used to estimate motion transformation from all static and sub-moving frames to a selected static reference frame. Finally, the data in all the frames are jointly reconstructed by incorporating motion estimation in the system matrix. We have applied our method to three human cardiac PET studies. Results: Visual assessment indicated the greatly improved image quality of the motion-corrected image over non-motion-corrected image. Also, motion correction yielded higher myocardium to blood pool concentration ratios than non-motion correction. Conclusion: The proposed bulk motion correction method improves the image quality of cardiac PET and can potentially be applied to other PET imaging applications such as brain PET.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722F (28 May 2019);
Show Author Affiliations
Tao Sun, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Yoann Petibon, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Paul Han, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Chao Ma, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Sally J. W. Kim, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Nathaniel M. Alpert, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Georges El Fakhri, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Jinsong Ouyang, Massachusetts General Hospital (United States)
Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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