Literature DB >> 20879239

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

Christoph Forman1, Murat Aksoy, Joachim Hornegger, Roland Bammer.   

Abstract

The tracking and compensation of patient motion during a magnetic resonance imaging (MRI) acqusition 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 locally attached marker that 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 degrees 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.

Entities:  

Mesh:

Year:  2010        PMID: 20879239     DOI: 10.1007/978-3-642-15705-9_32

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  14 in total

1.  Automated assessment of the quality of diffusion tensor imaging data using color cast of color-encoded fractional anisotropy images.

Authors:  Xiaofu He; Wei Liu; Xuzhou Li; Qingli Li; Feng Liu; Virginia A Rauh; Dazhi Yin; Ravi Bansal; Yunsuo Duan; Alayar Kangarlu; Bradley S Peterson; Dongrong Xu
Journal:  Magn Reson Imaging       Date:  2014-01-28       Impact factor: 2.546

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

Authors:  Christoph Forman; Murat Aksoy; Joachim Hornegger; Roland Bammer
Journal:  Med Image Anal       Date:  2011-06-13       Impact factor: 8.545

Review 3.  Prospective motion correction in functional MRI.

Authors:  Maxim Zaitsev; Burak Akin; Pierre LeVan; Benjamin R Knowles
Journal:  Neuroimage       Date:  2016-11-11       Impact factor: 6.556

4.  Hybrid prospective and retrospective head motion correction to mitigate cross-calibration errors.

Authors:  Murat Aksoy; Christoph Forman; Matus Straka; Tolga Çukur; Joachim Hornegger; Roland Bammer
Journal:  Magn Reson Med       Date:  2011-08-08       Impact factor: 4.668

5.  Echo-planar imaging with prospective slice-by-slice motion correction using active markers.

Authors:  Melvyn B Ooi; Sascha Krueger; Jordan Muraskin; William J Thomas; Truman R Brown
Journal:  Magn Reson Med       Date:  2011-02-24       Impact factor: 4.668

6.  Contact-free physiological monitoring using a markerless optical system.

Authors:  Julian Maclaren; Murat Aksoy; Roland Bammer
Journal:  Magn Reson Med       Date:  2015-05-18       Impact factor: 4.668

7.  Prospective motion correction using coil-mounted cameras: Cross-calibration considerations.

Authors:  Julian Maclaren; Murat Aksoy; Melvyn B Ooi; Benjamin Zahneisen; Roland Bammer
Journal:  Magn Reson Med       Date:  2017-07-19       Impact factor: 4.668

8.  Prospective active marker motion correction improves statistical power in BOLD fMRI.

Authors:  Jordan Muraskin; Melvyn B Ooi; Robin I Goldman; Sascha Krueger; William J Thomas; Paul Sajda; Truman R Brown
Journal:  Neuroimage       Date:  2012-12-05       Impact factor: 6.556

9.  SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction.

Authors:  Erik B Beall; Mark J Lowe
Journal:  Neuroimage       Date:  2014-06-24       Impact factor: 6.556

10.  Setup and data analysis for functional magnetic resonance imaging of awake cat visual cortex.

Authors:  Manxiu Ma; Chencan Qian; Yanxia Li; Zhentao Zuo; Zuxiang Liu
Journal:  Neurosci Bull       Date:  2013-06-14       Impact factor: 5.203

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