Prediction of Motion Induced Image Degradation Using a Markerless Motion Tracker

Rasmus Munch Olsen, Helle Hjorth Johannesen, Otto Mølby Henriksen, Lisbeth Marner, Oline Vinter Olesen

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review


In this work a markerless motion tracker, TCL2, is used to predict image quality in 3D T1 weighted MPRAGE MRI brain scans. An experienced radiologist scored the image quality for 172 scans as being usable or not usable, i.e. if a repeated scan was required. Based on five motion parameters, a classification algorithm was trained and an accuracy for identifying not usable images of 95.9% was obtained with a sensitivity of 91.7% and specificity of 96.3%. This work shows the feasibility of the markerless motion tracker for predicting image quality with a high accuracy.
Original languageEnglish
Publication date2017
Publication statusPublished - 2017
Event ISMRM 25th Annual Meeting & Exhibition - Hawai'i Convention Center, Honolulu, United States
Duration: 22 Apr 201727 Apr 2017


Conference ISMRM 25th Annual Meeting & Exhibition
LocationHawai'i Convention Center
Country/TerritoryUnited States


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