Detection of spicules on mammogram based on skeleton analysis

Hidefumi Kobatake; Yukiyasu Yoshinaga

doi:10.1109/42.500062

Detection of spicules on mammogram based on skeleton analysis

Hidefumi Kobatake, Yukiyasu Yoshinaga

Research output: Contribution to journal › Article › peer-review

57 Citations (Scopus)

Abstract

Existence of spicules is one of important clues of malignant tumors. This paper presents a new image processing method for t he detection of spicules on mammogram. Spicules can be recognized as line patterns radiating from the center of tumor. To detect such characteristic patterns, line skeletons and a modified Hough transform are proposed. Line skeleton processing is effective in enhancing spinal axes of spicules and in reducing the other skeletons. The modified Hough transform is applied to line skeletons and radiating line structures are obtained. Experiments were made to test the performance of the proposed method. The system was designed using 19 training images, for which one normal case was recognized to be star-shaped. The other case were recognized correctly. Another experiments using 34 test images were also performed. The correct classification rate was 74%. These results shows the effectiveness of the proposed method.

Original language	English
Pages (from-to)	235-245
Number of pages	11
Journal	IEEE Transactions on Medical Imaging
Volume	15
Issue number	3
DOIs	https://doi.org/10.1109/42.500062
Publication status	Published - 1996
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/42.500062

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title = "Detection of spicules on mammogram based on skeleton analysis",

abstract = "Existence of spicules is one of important clues of malignant tumors. This paper presents a new image processing method for t he detection of spicules on mammogram. Spicules can be recognized as line patterns radiating from the center of tumor. To detect such characteristic patterns, line skeletons and a modified Hough transform are proposed. Line skeleton processing is effective in enhancing spinal axes of spicules and in reducing the other skeletons. The modified Hough transform is applied to line skeletons and radiating line structures are obtained. Experiments were made to test the performance of the proposed method. The system was designed using 19 training images, for which one normal case was recognized to be star-shaped. The other case were recognized correctly. Another experiments using 34 test images were also performed. The correct classification rate was 74%. These results shows the effectiveness of the proposed method.",

author = "Hidefumi Kobatake and Yukiyasu Yoshinaga",

note = "Funding Information: Manuscript received October 5, 1994; revised December 6, 1995. This work was supported in part by the Ministry of Health and Welfare, Japan under the Grant-in-Aid for Cancer Research. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was N. Ayache. Asterisk indicates corresponding author. {"}H. Kobatake is with the Graduatc School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184, Japan (e-mail: kobatake@cc.tuat.ac.jp).",

year = "1996",

doi = "10.1109/42.500062",

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journal = "IEEE Transactions on Medical Imaging",

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T1 - Detection of spicules on mammogram based on skeleton analysis

AU - Kobatake, Hidefumi

AU - Yoshinaga, Yukiyasu

N1 - Funding Information: Manuscript received October 5, 1994; revised December 6, 1995. This work was supported in part by the Ministry of Health and Welfare, Japan under the Grant-in-Aid for Cancer Research. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was N. Ayache. Asterisk indicates corresponding author. "H. Kobatake is with the Graduatc School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184, Japan (e-mail: kobatake@cc.tuat.ac.jp).

PY - 1996

Y1 - 1996

N2 - Existence of spicules is one of important clues of malignant tumors. This paper presents a new image processing method for t he detection of spicules on mammogram. Spicules can be recognized as line patterns radiating from the center of tumor. To detect such characteristic patterns, line skeletons and a modified Hough transform are proposed. Line skeleton processing is effective in enhancing spinal axes of spicules and in reducing the other skeletons. The modified Hough transform is applied to line skeletons and radiating line structures are obtained. Experiments were made to test the performance of the proposed method. The system was designed using 19 training images, for which one normal case was recognized to be star-shaped. The other case were recognized correctly. Another experiments using 34 test images were also performed. The correct classification rate was 74%. These results shows the effectiveness of the proposed method.

AB - Existence of spicules is one of important clues of malignant tumors. This paper presents a new image processing method for t he detection of spicules on mammogram. Spicules can be recognized as line patterns radiating from the center of tumor. To detect such characteristic patterns, line skeletons and a modified Hough transform are proposed. Line skeleton processing is effective in enhancing spinal axes of spicules and in reducing the other skeletons. The modified Hough transform is applied to line skeletons and radiating line structures are obtained. Experiments were made to test the performance of the proposed method. The system was designed using 19 training images, for which one normal case was recognized to be star-shaped. The other case were recognized correctly. Another experiments using 34 test images were also performed. The correct classification rate was 74%. These results shows the effectiveness of the proposed method.

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Detection of spicules on mammogram based on skeleton analysis

Abstract

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