title: Real-time motion detection of functional MRI data.
abstract: The objective of this work was to implement a motion-detection algorithm on a commercial real-time functional magnetic resonance imaging (fMRI) processing package for neurosurgical planning applications. A real-time motion detection module was implemented on a commercial real-time processing package. Simulated functional data sets with introduced translational, in-plane rotational, and through-plane rotational motion were created. The coefficient of variation (COV) of the center of intensity was used as a motion quantification metric. Coefficients of variation were calculated before and after image registration to determine the effectiveness of the motion correction; the limits of correctability were also determined. The motion-detection module allowed for real-time quantification of the motion in an fMRI experiment. Along with knowledge of the limits of correctability, this enables determination of whether an experiment needs to be reacquired while the patient is in the scanner. This study establishes the feasibility of using real-time motion detection for presurgical planning fMRI and establishes the limits of correctable motion.
authors.affiliation: Department of Imaging Physics, The University of Texas M. D. Anderson, Cancer, 1515 Holcombe Blvd., Houston, Texas 77030, USA.
authors.forename: Theodore R
authors.initials: TR
authors.lastname: Steger
authors.forename: Edward F
authors.initials: EF
authors.lastname: Jackson
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology* / Q000601:surgery; D003199:Computer Systems; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D019635:Neurosurgical Procedures / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D025321:Surgery, Computer-Assisted / Q000379:methods
references.citation: Magn Reson Med. 2001 Sep;46(3):510-4
references.pmid: 11550243
references.citation: Magn Reson Med. 1998 Feb;39(2):234-43
references.pmid: 9469706
references.citation: Magn Reson Imaging. 2001 Sep;19(7):959-63
references.pmid: 11595367
references.citation: Magn Reson Med. 1999 Dec;42(6):1014-8
references.pmid: 10571921
references.citation: Magn Reson Med. 1994 Nov;32(5):639-45
references.pmid: 7808265
references.citation: Magn Reson Med. 2000 Mar;43(3):459-69
references.pmid: 10725890
references.citation: J Comput Assist Tomogr. 1998 Jan-Feb;22(1):139-52
references.pmid: 9448779
references.citation: Magn Reson Med. 2001 Jan;45(1):167-71
references.pmid: 11146500
references.citation: Magn Reson Med. 1995 Nov;34(5):746-53
references.pmid: 8544696
references.citation: Magn Reson Med. 1994 Mar;31(3):283-91
references.pmid: 8057799
references.citation: Radiology. 1998 Jan;206(1):279-82
references.pmid: 9423684
references.citation: Magn Reson Med. 2000 Sep;44(3):457-65
references.pmid: 10975899
references.citation: J Neurol Neurosurg Psychiatry. 2001 Jun;70(6):749-60
references.pmid: 11385009
references.citation: Magn Reson Med. 2002 Jan;47(1):32-41
references.pmid: 11754440
references.citation: J Nucl Med. 1994 Sep;35(9):1538-46
references.pmid: 8071706
references.citation: Comput Biomed Res. 1996 Jun;29(3):162-73
references.pmid: 8812068
references.citation: Magn Reson Med. 1996 Sep;36(3):436-44
references.pmid: 8875415