Computer methods have proven very useful in many medical imaging studies and applications. The advantages of using computers for the analysis of the images of different modalities have raised the interest of researchers from different fields of science and medicine. / An image analysis application which aims to quantify Multiple Sclerosis (MS) lession in human brains based on Magnetic Resonance Imaging (MRI) has been developed. In this thesis, image analysis based on statistical theory applied in medical imaging studies is reviewed. A three-dimensional method has been developed to compare the classification probability distribution of two groups of subjects. Using random field theory, regional difference of two three-dimensional classification probability maps is assessed statistically. The method can be applied to the comparison of probability distributions of multiple sclerosis lesion in human brains under different conditions. The sensitivity of the method is presented, and it is shown that the method can effectively and reliably detect the regional difference between two populations. In addition, a novel algorithm is introduced to automatically register a T 2-weighted MRI into a T1-weighted MRI acquired from the same human brain.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.20563 |
| Date | January 1998 |
| Creators | Chui, Hing Cheung. |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Science (School of Computer Science.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 001610264, proquestno: MQ44149, Theses scanned by UMI/ProQuest. |
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