title: Real-time optical motion correction for diffusion tensor imaging.
abstract: Head motion is a fundamental problem in brain MRI. The problem is further compounded in diffusion tensor imaging because of long acquisition times, and the sensitivity of the tensor computation to even small misregistration. To combat motion artifacts in diffusion tensor imaging, a novel real-time prospective motion correction method was introduced using an in-bore monovision system. The system consists of a camera mounted on the head coil and a self-encoded checkerboard marker that is attached to the patient's forehead. Our experiments showed that optical prospective motion correction is more effective at removing motion artifacts compared to image-based retrospective motion correction. Statistical analysis revealed a significant improvement in similarity between diffusion data acquired at different time points when prospective correction was used compared to retrospective correction (P<0.001).
authors: Department of Radiology, Stanford University, Stanford, California 94305-5488, USA.
authors: Murat
authors: M
authors: Aksoy
authors: Christoph
authors: C
authors: Forman
authors: Matus
authors: M
authors: Straka
authors: Stefan
authors: S
authors: Skare
authors: Samantha
authors: S
authors: Holdsworth
authors: Joachim
authors: J
authors: Hornegger
authors: Roland
authors: R
authors: Bammer
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology*; D003199:Computer Systems; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009038:Motion; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity