Patient motion quantification from tomographic data

TitlePatient motion quantification from tomographic data
Publication TypeConference Paper
Year of Publication1995
AuthorsNoumeir, R., G. E. Mailloux, and R. Lemieux
Conference NameElectrical and Computer Engineering, 1995. Canadian Conference on
Pagination535 -538 vol.1
Date Publishedsep.
Keywordsaverage optical flow, biomechanics, camera angle, diagnostic nuclear medicine, image sequences, interview global motion, medical image processing, motion estimation, patient motion quantification, patient tomographic raw data, region of interest, single photon emission computed tomography, translational motion correction, two dimensional velocity, visually artifactual perfusion defects

The authors have developed an automatic procedure for the detection, quantification and correction of translational motion during tomographic acquisition. The method computes the optical flow vector field between two successive views. The optical flow vector field assigns to each pixel of a tomographic view a two dimensional velocity that describes its motion across the image plane between two successive views. The average optical flow of a region of interest is when computed to measure its interview global motion. Motion is corrected by shifting back the views where motion is detected by the amount of the predicted motion distance. The method is applied to simulated and patient tomographic raw data in single photon emission computed tomography (SPECT). Visually artifactual perfusion defects are eliminated. The optical flow method can accurately detect the presence of motion, localize the camera angle at which motion occurred and measure the distance of motion


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