Bias Field Corrected Hippocampus Segmentation using k means Clustering and Region Growing

다국어 초록 (Multilingual Abstract)

Accurate segmentation of critical tissues in Magnetic Resonance (MR) Images is severely affected due to imperfections in the RF coil of the acquisition device. The problem becomes more prominent when there does not exist clear boundaries between various substructures. Hippocampus delineation from given MR image thus requires numerous preprocessing steps for correcting the intensity inhomogeneity resulting due to imperfections. Most of the time, extracted region will be partially containing the surrounded tissues. In this current work, an effective algorithm is developed aimed at segmenting the Hippocampus from the human brain MR image after performing the pre required bias correction. Before the given image is segmented, the image contrast is adjusted and then bias field is corrected. These steps are followed by clustering as well as region growing algorithms to finally yield effective results.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Preprocessing
• 3. Segmentation
• References