Earticle

초록

영어

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

Abstract
 1. Introduction
 2. Preprocessing
 3. Segmentation
 References

키워드

저자

• G.L.N.Murthy [ Dept. of ECE, LBRCE, Mylavaram, Andhra Pradesh, India ]
• B.Anuradha [ Dept. of ECE, S.V. University College of Engineering, Tirupati, A.P, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605