Automatic registration of postmortem brain slices to MRI reference volume
- 1 August 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Nuclear Science
- Vol. 47 (4), 1607-1613
- https://doi.org/10.1109/23.873023
Abstract
A new strategy to register each slice of the postmortem brain to anatomically corresponding in-vivo MRI slices is presented. The approach relies on a recursive reslicing of the FVIRI volume using non-linear polynomial transformations. Simulation studies to validate the approach and results using real data are presented. The results suggest the feasibility and practicability of second- and third-order polynomials to register postmortem images on a slice-by-slice basis to corresponding MRI sections. Using this method, it is possible to investigate the pathology of a disease through routinely acquired MRIs and postmortem brain images.Keywords
This publication has 11 references indexed in Scilit:
- Voxel similarity measures for 3-D serial MR brain image registrationIEEE Transactions on Medical Imaging, 2000
- Correction for head movements in multi-slice EPI functional MRIIEEE Transactions on Nuclear Science, 1998
- Automated Image Registration: I. General Methods and Intrasubject, Intramodality ValidationJournal of Computer Assisted Tomography, 1998
- Mutual Information for Automated Unwarping of Rat Brain AutoradiographsNeuroImage, 1997
- Comparison of Postmortem Magnetic Resonance Imaging and Neuropathologic Findings in the Cerebral White MatterArchives of Neurology, 1991
- Cerebral Tuberous Sclerosis: Postmortem Magnetic Resonance Imaging and Pathologic AnatomyMayo Clinic Proceedings, 1989
- Comparison of PET, MRI, and CT with pathology in a proven case of Alzheimer's diseaseNeurology, 1986
- Proton Magnetic Resonance Relaxation Times T1 and T2 Related to Postmortem IntervalActa Radiologica. Diagnosis, 1986
- Occurrence of neuropathological changes and dementia of Alzheimer's disease in Down's syndromeAnnals of Neurology, 1985
- A Digital Technique for Accurate Change Detection in Nuclear Medical Images - With Application to Myocardial Perfusion Studies Using Thallium-201IEEE Transactions on Nuclear Science, 1979