Graph-Cut Energy Minimization for Object Extraction in MRCP Medical Images

Authors:
Rajasvaran Logeswaran;Dongho Kim;Jungwhan Kim;Keechul Jung;Bundo Song
Affiliations:
Global School of Media, Soongsil University, Seoul, Korea 156-743 and Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia 63100;Global School of Media, Soongsil University, Seoul, Korea 156-743;Global School of Media, Soongsil University, Seoul, Korea 156-743;Global School of Media, Soongsil University, Seoul, Korea 156-743;Global School of Media, Soongsil University, Seoul, Korea 156-743
Venue:
Journal of Medical Systems
Year:
2012

Citing 9
Cited 0

Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Lazy snapping

ACM SIGGRAPH 2004 Papers
OBJ CUT

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Better Foreground Segmentation for Static Cameras via New Energy Form and Dynamic Graph-cut

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Random Walks for Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Liver Isolation in Abdominal MRI

Journal of Medical Systems
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
Better foreground segmentation for 3D face reconstruction using graph cuts

PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Phase Unwrapping via Graph Cuts

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bile duct identification and extraction in magnetic resonance cholangiopancreatography (MRCP) images, is a necessary step in the development of computer-aided diagnosis systems using such images. MRCP is becoming the de facto modality in the diagnosis of biliary diseases and even in the pre-surgical workup for liver transplants. The energy minimization graph-cut method is a proven technique in the extraction of objects in natural images, and even used in 3D reconstruction. This paper proposes several versions of the graph-cut approach for the extraction of the biliary structures in MRCP images. The schemes include a fully interactive lazy snapping method, a manual point selection method for minimal user interaction and an automated phase unwrapping via max flows (PUMA) implementation. The performance of the algorithms vary, but the results support that the scheme is a promising semi-automated object extraction scheme for the significant biliary structures in medical MRCP images.