Registration of neuroimaging data: Implementation and clinical applications

Journal of Neuroimaging

Volumn 10, Issue 1, 2000, Pages 39-46

  Thurfjell, Lennart ^a,f   Pagani, Marco ^b,d   Andersson, Jesper L R ^e   Jonsson, Cathrine ^b   Lundqvist, Roger ^a   Wägner, Anna ^c  

^a UPPSALA UNIVERSITY   (Sweden)

^b STOCKHOLM UNIVERSITY   (Sweden)

^c KAROLINSKA INSTITUTE   (Sweden)

^d CNR   (Italy)

^e WELLCOME TRUST CENTRE FOR NEUROIMAGING   (United Kingdom)

^f Centre for Image Analysis   (Sweden)

Author keywords

Computed tomography; Intersubject registration; Intrasubject registration; Magnetic resonance imaging; Neuroimaging; Positron emission tomography; Single photon emission computed tomography

Indexed keywords

ARTICLE; BRAIN; BRAIN SCINTISCANNING; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; ANATOMY; CASE REPORT; IMAGE ANALYSIS; LANGUAGE; NEUROIMAGING; REGISTRATION; WRITING;

EID: 0033983262     PISSN: 10512284     EISSN: None     Source Type: Journal    
DOI: 10.1111/jon200010139     Document Type: Article

References (19)

1. Bartenstein P, Minoshima S, Hirsch C, et al. Quantitative assessment of cerebral blood flow in patients with Alzheimer's disease by SPECT. J Nucl Med 1997;38:1095-1101
2. Bohm C, Greitz T, Seitz R, Eriksson L. Specification and selection of regions of interest (ROIs) in a computerized brain atlas. J Cereb Blood Flow Metab 1991;11:A64-A68
3. Otsuki T, Jokura H, Miyazawa T. Stereotactic gammathalamotomy with a computerized brain atlas,. Neurosurgery 1994;35:764-768
4. Fox PT, Raichle ME. Enhanced detection of focal brain responses using intersubject averaging and change-distribution analysis of subtracted PET images. J Cereb Blood Flow Metab 1988;8:642-653
5. Andersson JLR. How to estimate global activity independent of changes in local activity. Neuroimage 1997;60:237-244
6. Van den Eisen P, Pol E, Viergever MA. Medical image matching: a review with classification. IEEE Eng Med Biol 1993;12:26-39
7. Grimson W, Ettinger G, White S, Lozano-Perez T, Wells W, Kikinis R. An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization. IEEE Trans Med Imag 1996;15:129-140
8. Henri C, Colchester A, Zhao J, Hawkes D, Hill D, Evans R. Registration of 3-D surface data for intra-operative guidance and visualization in frameless Stereotactic neurosurgery. In: Ayache N, ed. Information processing, virtual reality and robotics in medicine. Lecture notes in computer science, vol 905. Berlin: Springer-Verlag, 1995:47-56
9. Evans AC, Marett S, Torrescorzo J, Ku S, Collins L. MRI-PET correlation in three dimensions using a volume-of-interest (VOI) Atlas. J Cereb Blood Flow Metab 1991;11: A69-A78
10. Maguire G, Noz M, Rusinek H, et al. Graphics applied to medical image registration. IEEE Comput Graph Appl 1991;2:20-28
11. Pelizzari C, Chen G, Speibring D, Weichselbaum R, Chen CT. Accurate three-dimensional registration of CT, PET, and/or MR images of the brain. J Comput Assist Tomogr 1989;13:20-26
12. Talairach J, Tournoux P. Co-planar Stereotactic atlas of the human brain: 3-dimensional proportional system - an approach to cerebral imaging. Stuttgart/New York: Thieme Verlag, 1988
13. Friston KJ, Passingham RE, Nutt JG, Heather JD, Sawle GV, Frackowiak RSJ. Localization in PET images: direct fitting of the intercommissural (AC-PC) line. J Cereb Blood Flow Metab 1989; 9:690-695
14. Fox PT, Perlmutter JS, Raichle ME. A Stereotactic method of anatomical localization for positron emission tomography. J Comput Assist Tomogr 1985;9:141-153
15. Minoshima S, Koeppe R, Mintun M, et al. Automated detection of the intercommissural line for stereotactic localization of functional brain images. J Nucl Med 1993;34:322-329
16. Minoshima S, Koeppe R, Frey K, Kühl D. Anatomic standardization: linear scaling and nonlinear warping of functional brain images. J Nucl Med 1994;35:1528-1537
17. Szeliski R, Lavalle S. Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines. International Journal of Computer Vision 1996;18:171-186
18. Eberl S, Kanno I, Fulton R, Ryan A, Hutton B, Fulham M. Automated interstudy image registration technique for SPECT and PET. J Nucl Med 1996;37:137-145
19. Andersson JLR. A rapid and accurate method to realign PET scans utilizing image edge information. J Nucl Med 1995;36:657-669