Measurement and correction of microscopic head motion during magnetic resonance imaging of the brain

Autor: Thomas Ernst, Ilja Y. Kadashevich, Maxim Zaitsev, Michael Herbst, Thomas E. Prieto, Robert T. Barrows, Todd P. Kusik, K. A. Danishad, Julian Maclaren, Oliver Speck, Brian S. R. Armstrong, Cris Lovell-Smith, Qiaotian Li, Peter Schulze, Colin L. Foster, Daniel Stucht, K. Gumus
Přispěvatelé: Hess, Christopher P
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Medical Physics
Computer science
Image quality
Image Processing
Tracking (particle physics)
030218 nuclear medicine & medical imaging
Diagnostic Radiology
0302 clinical medicine
Engineering
Electronics Engineering
Computer-Assisted
Magnetic resonance imaging of the brain
Image Processing
Computer-Assisted

Computer vision
screening and diagnosis
Multidisciplinary
medicine.diagnostic_test
Orientation (computer vision)
fMRI
Tracking system
Magnetic Resonance Imaging
Detection
Head Movements
Calibration
Biomedical Imaging
Medicine
Radiology
Research Article
General Science & Technology
Science
Biophysics
Image processing
Neuroimaging
Bioengineering
03 medical and health sciences
Clinical Research
medicine
Humans
Biology
business.industry
Neurosciences
Magnetic resonance imaging
4.1 Discovery and preclinical testing of markers and technologies
Artificial intelligence
business
030217 neurology & neurosurgery
Software
Neuroscience
Zdroj: PLoS ONE, Vol 7, Iss 11, p e48088 (2012)
PloS one, vol 7, iss 11
PLoS ONE
ISSN: 1932-6203
Popis: Magnetic resonance imaging (MRI) is a widely used method for non-invasive study of the structure and function of the human brain. Increasing magnetic field strengths enable higher resolution imaging; however, long scan times and high motion sensitivity mean that image quality is often limited by the involuntary motion of the subject. Prospective motion correction is a technique that addresses this problem by tracking head motion and continuously updating the imaging pulse sequence, locking the imaging volume position and orientation relative to the moving brain. The accuracy and precision of current MR-compatible tracking systems and navigator methods allows the quantification and correction of large-scale motion, but not the correction of very small involuntary movements in six degrees of freedom. In this work, we present an MR-compatible tracking system comprising a single camera and a single 15 mm marker that provides tracking precision in the order of 10 m and 0.01 degrees. We show preliminary results, which indicate that when used for prospective motion correction, the system enables improvement in image quality at both 3 T and 7 T, even in experienced and cooperative subjects trained to remain motionless during imaging. We also report direct observation and quantification of the mechanical ballistocardiogram (BCG) during simultaneous MR imaging. This is particularly apparent in the head-feet direction, with a peak-to-peak displacement of 140 m.
Databáze: OpenAIRE