Ph.D. Candidacy Exam - Mouse Brain Image Segmentation with Level Set Method
Date: March 17, 2005
Time: 12:30 PM
Location: LeBow Engineering Center, Room: 240
Speaker(s):
Jie Yu
Details:
Automated volume or region of interest (VOIs and ROIs) segmentation is of general importance in medical imaging and a large number of potential computer vision solutions are being explored in the research community. My particular interest is in a mouse neuroinformatics setting. Our laboratory is developing image-based query system to aid neurogeneticists in using our Mouse Brain Library. This large database is of particular value in functional genomics and in particular in a genetic mapping method known as quantitative trait loci mapping. My goal is to develop level set methods to segmentation of the data contained in this resource. Specifically my aims are:
Aim 1: Two and half dimensions region delineation. The MBL consists of images of sections from a large number of brains of mice from an advanced intercross set of strains. For each brain, the database contains images of about 70-80 30um sections- a section every 150 um. For this aim, I will evaluate performance of level set methods in segmenting blocks of sections using the first manually delineated section as seed.
Aim 2: Segmentation of cross animal. The difficulty of the segmentation task will be increased for this aim and instead of automated delineation across the brain of an individual mouse, I will evaluate performance in seeding the level set algorithms with delineations contained in the MBL canonical atlas.
Biosketch:
Directions:
The LeBow Engineering Center is located at the corner of 31st and Market Streets.
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