A medical image segmentation based on improved narrow band method

Weili Yang; Lei Guo; Tianyun Zhao; Guchu Xiao

doi:10.1109/ICCME.2007.4381809

A medical image segmentation based on improved narrow band method

Weili Yang, Lei Guo, Tianyun Zhao, Guchu Xiao

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Curve evolution based Level Set has been widely used in medical image segmentation. However, the high computational cost excludes its use in robust real-time medical image segmentation. This paper presents a novel segmentation method based on Improved Narrow Band Method (INBM). Firstly, images are transformed from Cartesian space to log-polar coordinate space. The space invariant theory of human vision system guarantees the focus locates only on the interested region. Then an initial contour of the region is formed before we use INBM to get the segmentation results. ENBM's adopts reducing level set function solution's number of narrow band region to decrease the computation. Our experiment results show a significant decrease in computation time, and thus an effective speed up of medical image segmentation.

Original language	English
Title of host publication	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Pages	614-618
Number of pages	5
DOIs	https://doi.org/10.1109/ICCME.2007.4381809
State	Published - 2007
Event	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 - Beijing, China Duration: 23 May 2007 → 27 May 2007

Publication series

Name	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Conference

Conference	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Country/Territory	China
City	Beijing
Period	23/05/07 → 27/05/07

Access to Document

10.1109/ICCME.2007.4381809

Cite this

@inproceedings{a7aaa1db5d9c4264a027cbb84d0c57c6,

title = "A medical image segmentation based on improved narrow band method",

abstract = "Curve evolution based Level Set has been widely used in medical image segmentation. However, the high computational cost excludes its use in robust real-time medical image segmentation. This paper presents a novel segmentation method based on Improved Narrow Band Method (INBM). Firstly, images are transformed from Cartesian space to log-polar coordinate space. The space invariant theory of human vision system guarantees the focus locates only on the interested region. Then an initial contour of the region is formed before we use INBM to get the segmentation results. ENBM's adopts reducing level set function solution's number of narrow band region to decrease the computation. Our experiment results show a significant decrease in computation time, and thus an effective speed up of medical image segmentation.",

author = "Weili Yang and Lei Guo and Tianyun Zhao and Guchu Xiao",

year = "2007",

doi = "10.1109/ICCME.2007.4381809",

language = "英语",

isbn = "1424410789",

series = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007",

pages = "614--618",

booktitle = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007",

note = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 ; Conference date: 23-05-2007 Through 27-05-2007",

}

Yang, W, Guo, L, Zhao, T & Xiao, G 2007, A medical image segmentation based on improved narrow band method. in 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007., 4381809, 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007, pp. 614-618, 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007, Beijing, China, 23/05/07. https://doi.org/10.1109/ICCME.2007.4381809

A medical image segmentation based on improved narrow band method. / Yang, Weili; Guo, Lei; Zhao, Tianyun et al.
2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007. 2007. p. 614-618 4381809 (2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A medical image segmentation based on improved narrow band method

AU - Yang, Weili

AU - Guo, Lei

AU - Zhao, Tianyun

AU - Xiao, Guchu

PY - 2007

Y1 - 2007

N2 - Curve evolution based Level Set has been widely used in medical image segmentation. However, the high computational cost excludes its use in robust real-time medical image segmentation. This paper presents a novel segmentation method based on Improved Narrow Band Method (INBM). Firstly, images are transformed from Cartesian space to log-polar coordinate space. The space invariant theory of human vision system guarantees the focus locates only on the interested region. Then an initial contour of the region is formed before we use INBM to get the segmentation results. ENBM's adopts reducing level set function solution's number of narrow band region to decrease the computation. Our experiment results show a significant decrease in computation time, and thus an effective speed up of medical image segmentation.

AB - Curve evolution based Level Set has been widely used in medical image segmentation. However, the high computational cost excludes its use in robust real-time medical image segmentation. This paper presents a novel segmentation method based on Improved Narrow Band Method (INBM). Firstly, images are transformed from Cartesian space to log-polar coordinate space. The space invariant theory of human vision system guarantees the focus locates only on the interested region. Then an initial contour of the region is formed before we use INBM to get the segmentation results. ENBM's adopts reducing level set function solution's number of narrow band region to decrease the computation. Our experiment results show a significant decrease in computation time, and thus an effective speed up of medical image segmentation.

UR - http://www.scopus.com/inward/record.url?scp=48149106489&partnerID=8YFLogxK

U2 - 10.1109/ICCME.2007.4381809

DO - 10.1109/ICCME.2007.4381809

M3 - 会议稿件

AN - SCOPUS:48149106489

SN - 1424410789

SN - 9781424410781

T3 - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

SP - 614

EP - 618

BT - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

T2 - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Y2 - 23 May 2007 through 27 May 2007

ER -

A medical image segmentation based on improved narrow band method

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this