Multi-organ segmentation from multi-phase abdominal CT via 4D graphs using enhancement, shape and location optimization

Authors:
Marius George Linguraru;John A. Pura;Ananda S. Chowdhury;Ronald M. Summers
Affiliations:
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD;Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD;Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD;Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Year:
2010

Citing 7
Cited 8

Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation

International Journal of Computer Vision
Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Construction of Hierarchical Multi-Organ Statistical Atlases and Their Application to Multi-Organ Segmentation from CT Images

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Semiautomatic segmentation with compact shape prior

Image and Vision Computing
Segmentation and classification of breast tumor using dynamic contrast-enhanced MR images

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Graph cuts framework for kidney segmentation with prior shape constraints

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I

A multi-image graph cut approach for cardiac image segmentation and uncertainty estimation

STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Abdominal multi-organ segmentation of CT images based on hierarchical spatial modeling of organ interrelations

MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Liver segmental anatomy and analysis from vessel and tumor segmentation via optimized graph cuts

MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Liver and tumor segmentation and analysis from CT of diseased patients via a generic affine invariant shape parameterization and graph cuts

MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Computation and evaluation of medial surfaces for shape representation of abdominal organs

MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Analyses of missing organs in abdominal multi-organ segmentation

MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Multi-organ abdominal CT segmentation using hierarchically weighted subject-specific atlases

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Liver segmentation approach using graph cuts and iteratively estimated shape and intensity constrains

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

The interpretation of medical images benefits from anatomical and physiological priors to optimize computer-aided diagnosis (CAD) applications. Diagnosis also relies on the comprehensive analysis of multiple organs and quantitative measures of soft tissue. An automated method optimized for medical image data is presented for the simultaneous segmentation of four abdominal organs from 4D CT data using graph cuts. Contrast-enhanced CT scans were obtained at two phases: non-contrast and portal venous. Intra-patient data were spatially normalized by non-linear registration. Then 4D erosion using population historic information of contrast-enhanced liver, spleen, and kidneys was applied to multi-phase data to initialize the 4D graph and adapt to patient specific data. CT enhancement information and constraints on shape, from Parzen windows, and location, from a probabilistic atlas, were input into a new formulation of a 4D graph. Comparative results demonstrate the effects of appearance and enhancement, and shape and location on organ segmentation.