DocumentCode :
2362982
Title :
Tumor-induced structural and radiometric asymmetry in brain images
Author :
Lorenzen, Peter ; Joshi, Sarang ; Gerig, Guido ; Bullitt, Elizabeth
Author_Institution :
Med. Image Display & Anal. Group, North Carolina Univ., Chapel Hill, NC, USA
fYear :
2001
fDate :
2001
Firstpage :
163
Lastpage :
170
Abstract :
This paper presents a general framework for analyzing structural and radiometric asymmetry in brain images. In a healthy brain, the left and right hemispheres are largely symmetric across the mid-sagittal plane. Brain tumors may belong to one or both of the following categories: mass-effect, in which the diseased tissue displaces healthy tissue; and infiltrating, in which healthy tissue has become diseased. Mass-effect brain tumors cause structural asymmetry by displacing healthy tissue, and may cause radiometric asymmetry in adjacent normal structures due to edema. Infiltrating tumors have a different radiometric response from healthy tissue. Thus, structural and radiometric asymmetries across the mid-sagittal plane in brain images provide important cues that tumors may be present. We have developed a framework that registers images with their reflections across the mid-sagittal plane. The registration process accounts for tissue displacement through large deformation image warping. Radiometric differences are taken into account through an additive intensity field. We present an efficient multi-scale algorithm for the joint estimation of structural and radiometric asymmetry
Keywords :
biomedical MRI; brain; image registration; medical image processing; tumours; additive intensity field; deformable image mapping; diseased tissue; edema; efficient multiscale algorithm; healthy tissue displacement; image reflections; infiltrating tumors; medical diagnostic imaging; medical image analysis; midsagittal plane; radiometric asymmetry; structural asymmetry; Alzheimer´s disease; Biomedical imaging; Brain; Displays; Humans; Image analysis; Neoplasms; Radiometry; Reflection; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE Workshop on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7695-1336-0
Type :
conf
DOI :
10.1109/MMBIA.2001.991712
Filename :
991712
Link To Document :
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