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Journal article

Markerless motion tracking and correction for PET, MRI, and simultaneous PET/MRI

In Plos One 2019, Volume 14, Issue 4, pp. e0215524

Edited by Zhang, Qinghui

From

Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

University of Copenhagen3

TracInnovations4

University of Pennsylvania5

Massachusetts General Hospital6

We demonstrate and evaluate the first markerless motion tracker compatible with PET, MRI, and simultaneous PET/MRI systems for motion correction (MC) of brain imaging. PET and MRI compatibility is achieved by careful positioning of in-bore vision extenders and by placing all electronic components out-of-bore.

The motion tracker is demonstrated in a clinical setup during a pediatric PET/MRI study including 94 pediatric patient scans. PET MC is presented for two of these scans using a customized version of the Multiple Acquisition Frame method. Prospective MC of MRI acquisition of two healthy subjects is demonstrated using a motion-aware MRI sequence.

Real-time motion estimates are accompanied with a tracking validity parameter to improve tracking reliability. For both modalities, MC shows that motion induced artifacts are noticeably reduced and that motion estimates are sufficiently accurate to capture motion ranging from small respiratory motion to large intentional motion.

In the PET/MRI study, a time-activity curve analysis shows image improvements for a patient performing head movements corresponding to a tumor motion of ±5-10 mm with a 19% maximal difference in standardized uptake value before and after MC. The first markerless motion tracker is successfully demonstrated for prospective MC in MRI and MC in PET with good tracking validity.

As simultaneous PET/MRI systems have become available for clinical use, an increasing demand for accurate motion tracking and MC in PET/MRI scans has emerged. The presented markerless motion tracker facilitate this demand.

Language: English
Publisher: Public Library of Science
Year: 2019
Pages: e0215524
ISSN: 19326203 , 15537358 and 1553734x
Types: Journal article
DOI: 10.1371/journal.pone.0215524
ORCIDs: Slipsager, Jakob Mølkjær , 0000-0002-1463-2223 , 0000-0001-9644-7496 , Olesen, Oline Vinter and Paulsen, Rasmus Reinhold

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