Joshi Sarang, Lorenzen Peter, Gerig Guido, Bullitt Elizabeth
The University of North Carolina at Chapel Hill, Medical Image Display Analysis Group, CB#3175, Sitterson Hall, Chapel Hill, NC 27599-3175, USA.
Med Image Anal. 2003 Jun;7(2):155-70. doi: 10.1016/s1361-8415(03)00002-1.
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. Results for nine MR images of patients with tumors and four normal control subjects are presented.
本文提出了一个用于分析脑图像中结构和辐射不对称性的通用框架。在健康大脑中,左右半球在矢状中平面上基本对称。脑肿瘤可能属于以下两类中的一类或两类:占位效应,即病变组织挤压健康组织;浸润性,即健康组织已病变。占位效应性脑肿瘤通过挤压健康组织导致结构不对称,并可能由于水肿在相邻正常结构中引起辐射不对称。浸润性肿瘤与健康组织有不同的辐射反应。因此,脑图像中矢状中平面上的结构和辐射不对称提供了可能存在肿瘤的重要线索。我们开发了一个框架,将图像与其在矢状中平面上的镜像进行配准。配准过程通过大变形图像扭曲来考虑组织位移。通过一个附加强度场来考虑辐射差异。我们提出了一种用于联合估计结构和辐射不对称性的高效多尺度算法。给出了九名肿瘤患者的磁共振图像和四名正常对照受试者的结果。