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Anatomical model matching with fuzzy implicit surfaces for segmentation of thoracic volume scans.

Abstract：

:Many segmentation methods for thoracic volume data require manual input in the form of a seed point, initial contour, volume of interest etc. The aim of the work presented here is to further automate this segmentation initialization step. In this paper an anatomical modeling and matching method is proposed to coarsely segment thoracic volume data into anatomically labeled regions. An anatomical model of the thorax is constructed in two steps: 1) individual organs are modeled with blended fuzzy implicit surfaces and 2) the single organ models are grouped into a tree structure with a solid modeling technique named constructive solid geometry (CSG). The combination of CSG with fuzzy implicit surfaces allows a hierarchical scene description by means of a boundary model, which characterizes the scene volume as a boundary potential function. From this boundary potential, an energy function is defined which is minimal when the model is registered to the tissue-air transitions in thoracic magnetic resonance imaging (MRI) data. This allows automatic registration in three steps: feature detection, initial positioning and energy minimization. The model matching has been validated in phantom simulations and on 15 clinical thoracic volume scans from different subjects. In 13 of these sets the matching method accurately partitioned the image volumes into a set of volumes of interest for the heart, lungs, cardiac ventricles, and thorax outlines. The method is applicable to segmentation of various types of thoracic MR-images, provided that a large part of the thorax is contained in the image volume.

journal_name

IEEE Trans Med Imaging

journal_title

IEEE transactions on medical imaging

authors

Lelieveldt BP,van der Geest RJ,Rezaee MR,Bosch JG,Reiber JH

doi

10.1109/42.764893

subject

Has Abstract

pub_date

1999-03-01 00:00:00

pages

218-30

issue

3

eissn

0278-0062

issn

1558-254X

journal_volume

18

pub_type

杂志文章

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