3D automatic anatomy recognition based on iterative graph-cut-asm

Xinjian Chen, Jayaram K. Udupa, Ulaş Baǧci, Abass Alavi, Drew A. Torigian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We call the computerized assistive process of recognizing, delineating, and quantifying organs and tissue regions in medical imaging, occurring automatically during clinical image interpretation, automatic anatomy recognition (AAR). The AAR system we are developing includes five main parts: model building, object recognition, object delineation, pathology detection, and organ system quantification. In this paper, we focus on the delineation part. For the modeling part, we employ the active shape model (ASM) strategy. For recognition and delineation, we integrate several hybrid strategies of combining purely image based methods with ASM. In this paper, an iterative Graph-Cut ASM (IGCASM) method is proposed for object delineation. An algorithm called GC-ASM was presented at this symposium last year for object delineation in 2D images which attempted to combine synergistically ASM and GC. Here, we extend this method to 3D medical image delineation. The IGCASM method effectively combines the rich statistical shape information embodied in ASM with the globally optimal delineation capability of the GC method. We propose a new GC cost function, which effectively integrates the specific image information with the ASM shape model information. The proposed methods are tested on a clinical abdominal CT data set. The preliminary results show that: (a) it is feasible to explicitly bring prior 3D statistical shape information into the GC framework; (b) the 3D IGCASM delineation method improves on ASM and GC and can provide practical operational time on clinical images.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2010
Subtitle of host publicationVisualization, Image-Guided Procedures, and Modeling
EditorsKenneth H. Wong, Michael I. Miga
PublisherSPIE
ISBN (Electronic)9780819480262
DOIs
StatePublished - 2010
Externally publishedYes
EventMedical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling - San Diego, United States
Duration: Feb 14 2010Feb 16 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7625
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Country/TerritoryUnited States
CitySan Diego
Period2/14/102/16/10

Keywords

  • Active shape models
  • Graph cut
  • Object recognition
  • Segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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