Self-encoded marker for optical prospective head motion correction in MRI

被引:47
作者
Forman, Christoph [1 ,2 ,3 ]
Aksoy, Murat [2 ]
Hornegger, Joachim [1 ,3 ]
Bammer, Roland [2 ]
机构
[1] Univ Erlangen Nurnberg, Pattern Recognit Lab, Dept Comp Sci, D-91058 Erlangen, Germany
[2] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[3] Grad Sch Adv Opt Technol SAOT, Erlangen, Germany
基金
美国国家卫生研究院;
关键词
Motion estimation; Prospective motion compensation; Optical motion tracking; Real-time; Neuro-MRI; TRACKING;
D O I
10.1016/j.media.2011.05.018
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The tracking and compensation of patient motion during a magnetic resonance imaging (MRI) acquisition is an unsolved problem. For brain MRI, a promising approach recently suggested is to track the patient using an in-bore camera and a checkerboard marker attached to the patient's forehead. However, the possible tracking range of the head pose is limited by the fact that the locally attached marker must be entirely visible inside the camera's narrow field of view (FOV). To overcome this shortcoming, we developed a novel self-encoded marker where each feature on the pattern is augmented with a 2-D barcode. Hence, the marker can be tracked even if it is not completely visible in the camera image. Furthermore, it offers considerable advantages over the checkerboard marker in terms of processing speed, since it makes the correspondence search of feature points and marker-model coordinates, which are required for the pose estimation, redundant. The motion correction with the novel self-encoded marker recovered a rotation of 18 around the principal axis of the cylindrical phantom in-between two scans. After rigid registration of the resulting volumes, we measured a maximal error of 0.39 mm and 0.15 degrees in translation and rotation, respectively. In in vivo experiments, the motion compensated images in scans with large motion during data acquisition indicate a correlation of 0.982 compared to a corresponding motion-free reference. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:708 / 719
页数:12
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