Title :
Fine-scale motion detection using intrinsic list mode PET information
Author :
Klein, GJ ; Reutter, BW ; Botvinick, EH ; Budinger, TF ; Huesman, RH
Author_Institution :
Lawrence Livermore Nat. Lab., Berkeley, CA, USA
Abstract :
Motion during extended nuclear medicine scanning sequences can significantly degrade the quality of reconstructed images. Correction for this motion requires an accurate motion sensor. We describe a technique to detect motion in list mode positron emission tomography (PET) imagery that relies upon information from the list mode data stream itself. In studies where the tracer contrast to background contrast is high, the axial component of the center of mass (CM) for tomograph events can serve as an accurate indicator of motion. Because the method does not require reconstruction of images, it may be applied to motion detection at a very fine temporal scale. The technique has been applied to the detection of motion due to the respiratory cycle in cardiac PET imaging
Keywords :
cardiology; image restoration; image segmentation; medical image processing; motion compensation; motion estimation; positron emission tomography; background contrast; blurring artifacts; cardiac imaging; center of mass axial component; data gating; extended scanning sequences; fine-scale motion detection; intrinsic list mode information; list mode data stream; motion compensation; nuclear medicine; positron emission tomography; reconstructed image quality; respiratory cycle; respiratory gating; tracer contrast; Degradation; Image reconstruction; Image storage; Laboratories; Lungs; Motion detection; Nuclear medicine; Patient monitoring; Positron emission tomography; Whole-body PET;
Conference_Titel :
Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE Workshop on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7695-1336-0
DOI :
10.1109/MMBIA.2001.991701