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Evaluation of a semiautomatic 3D fusion technique applied to molecular imaging and MRI brain/frame volume data sets
New York University.
KTH, Superseded Departments, Microelectronics and Information Technology, IMIT.ORCID iD: 0000-0002-6066-746X
New York University.
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2003 (English)In: Journal of medical systems, ISSN 0148-5598, E-ISSN 1573-689X, Vol. 27, no 2, 141-156 p.Article in journal (Refereed) Published
Abstract [en]

A generally applicable {3D} fusion method was evaluated using molecular imaging and {MRI} volumetric data sets from 15 brain tumor patients with stereotactic frames attached to their skull. Point pairs, placed on the frame only, were chosen, polynomial warping coefficients were generated to map voxels from one coordinate space to the other. The {MRI} frame was considered the reference structure and the standard for "correct" registration. An {ANOVA} test (p {\textgreater} 0.05) confirmed the point pair choice to be consistent. The 95\% confidence interval for the t-test showed the measured distance difference between the registered volumes was within one {MRI} voxel. A further experiment was conducted to independently evaluate the brain registration based on testing for consistency of randomly selected interior/exterior points. A t-test result (p {\textless} 0.05) showed that the consistency (i.e., both interior or both exterior) before and after volume registration were significantly different. This fusion method may be a viable alternative when other methods fail.

Place, publisher, year, edition, pages
2003. Vol. 27, no 2, 141-156 p.
Keyword [en]
Brain/frame registration, Functional/anatomic image fusion, Intermodality fusion, Landmark registration, Molecular/structural image fusion
National Category
Medical and Health Sciences
Research subject
URN: urn:nbn:se:kth:diva-46750DOI: 10.1023/A:1021860910856PubMedID: 12617356OAI: diva2:454130
QC 20111107Available from: 2011-11-05 Created: 2011-11-05 Last updated: 2013-09-09Bibliographically approved

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Maguire Jr., Gerald Q.
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