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Multigradient field-active contour model for multilayer boundary detection of ultrasound rectal wall image

[+] Author Affiliations
Di Xiao

National University Hospital, Department of Surgery, Singapore 169608

Wan Sing Ng

Nanyang Technological University, School of Mechanical and Production Engineering, Computer Integrated & Medical Intervention Laboratory, Singapore 639798

Udantha R. Abeyratne

The University of Queensland, School of Info. Tech. & Electrical Eng, Brisbane Q1d 4072, Australia

Charles B. Tsang

National University Hospital, Department of Surgery, Singapore 169608

J. Electron. Imaging. 14(3), 033010 (July 15, 2005). doi:10.1117/1.1992500
History: Received March 11, 2003; Revised February 13, 2004; Accepted December 14, 2004; Published July 15, 2005; Online July 15, 2005
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Extraction and reconstruction of rectal wall structures from an ultrasound image is helpful for surgeons in rectal clinical diagnosis and 3-D reconstruction of rectal structures from ultrasound images. The primary task is to extract the boundary of the muscular layers on the rectal wall. However, due to the low SNR from ultrasound imaging and the thin muscular layer structure of the rectum, this boundary detection task remains a challenge. An active contour model is an effective high-level model, which has been used successfully to aid the tasks of object representation and recognition in many image-processing applications. We present a novel multigradient field active contour algorithm with an extended ability for multiple-object detection, which overcomes some limitations of ordinary active contour models—“snakes.” The core part in the algorithm is the proposal of multigradient vector fields, which are used to replace image forces in kinetic function for alternative constraints on the deformation of active contour, thereby partially solving the initialization limitation of active contour for rectal wall boundary detection. An adaptive expanding force is also added to the model to help the active contour go through the homogenous region in the image. The efficacy of the model is explained and tested on the boundary detection of a ring-shaped image, a synthetic image, and an ultrasound image. The experimental results show that the proposed multigradient field-active contour is feasible for multilayer boundary detection of rectal wall.

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© 2005 SPIE and IS&T

Citation

Di Xiao ; Wan Sing Ng ; Udantha R. Abeyratne and Charles B. Tsang
"Multigradient field-active contour model for multilayer boundary detection of ultrasound rectal wall image", J. Electron. Imaging. 14(3), 033010 (July 15, 2005). ; http://dx.doi.org/10.1117/1.1992500


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