Shape Analysis of Brain Structures | Nicolas Tiaki Otsu
| | Abstract | This bachelor thesis sets out to look into and analyze part of an extensive collection of data from the LADIS (Leukoaraiosis And DISability) Study. This data collection contains 1) bitmap images of mid-sagittal magnetic resonance images of human brains, 2) associated, expert-reviewed landmarks signifying the contour of the brain structure corpus callosum, 3) clinically assessed parameters evolved from tests done to the scanned persons. The analysis focuses on a) performing a sparse principal component analysis (SPCA) on the landmarks to describe local atrophical changes in the corpus callosum contour outline over a period of three years and also, on b) performing a regression analysis between these described local shape changes and the clinical parameter changes during the same period.
The analysis is carried out in Matlab and leads to results that point towards connections between clinical parameters describing gait speed, executive motor control, verbal
fluency and geriatric depression scale. The overall results show fairly acceptable similarities with those described in literature of research groups who performed both similar and non-similar analyses for describing correspondende between corpus callosum changes over time in correlation with clinical observations. | | Type | Bachelor thesis [Academic thesis] | | Year | 2011 | | Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk | | Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark | | Series | IMM-B.Sc.-2011-04 | | Note | Supervised by Professor Rasmus Larsen, rl@imm.dtu.dk, DTU Informatics | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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