Accession Number:

ADA634631

Title:

Quantitation of the Premature Infant Brain Volume from MR Images Using Watershed Transform and Bayesian Segmentation

Descriptive Note:

Conference paper

Corporate Author:

TURKU UNIV (FINLAND)

Report Date:

2007-09-01

Pagination or Media Count:

6.0

Abstract:

Various automated and precise segmentation methods of MR images exist for adult brain, but the segmentation of premature infant brain has been problematic. In this paper, a novel segmentation method for MR images of premature infant brain is proposed. The method utilizes a combination of the watershed transform and bayesian segmentation techniques. An image of intensity gradients is used as a source for the watershed segmentation method. Watershed basins are then combined according to various criteria to produce a set of approximate segment images that can be used to measure the volume of the premature infant brain. The approximate segmentation is then used as a priori information to help bayesian segmentation according to the intensity distributions of the gray matter, white matter and cerebrospinal fluid segments of the brain. The method is compared to a standard segmentation method developed for the brain. The comparison is done for both adult and premature infant brain images.

Subject Categories:

  • Anatomy and Physiology
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE