## Abstract An automatic threeβdimensional technique for registration of MR images of human brain is described. The algorithm was tested, using MR images of human brain, and was found to estimate angular offsets to within 0.5Β° and translational offsets to within about 1 pixel. The quality of final
Registration of images from sequential MR studies of the brain
β Scribed by Sarah J. Nelson; Allen B. Nalbandian; Evelyn Proctor; Daniel B. Vigneron
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 918 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
For sequential studies of patients with brain tumors, the authors have designed an automated registration procedure for intraβ and interexamination alignment of magnetic resonance images. This was evaluated with artificially misregistered data and data from repeat studies of six healthy volunteers and six brain tumor patients. In a subset of cases, a manual procedure based on matching of neuroanatomic landmarks was also applied for comparison. The results showed that the technique is robust and reproducible, giving an accuracy in the range of 1β2 mm, which corresponded to the spatial resolution of the images. Subject motion between imaging sequences within the same study was negligible, although adjustments (one to two section thicknesses) were required in the z direction to correlate multisection and volume images and to allow accurate image segmentation. For alignment between sequential volunteer and patient examinations, translations of up to 22 mm and rotations in the x, y, and z axes of up to 9Β° were required. This alignment procedure may be valuable in numerous aspects of treatment planning and patient followβup.
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