An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images

K. N. Manjunath; P. C. Siddalingaswamy; G. K. Prabhu

doi:10.1145/3121360.3121380

An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images

K. N. Manjunath, P. C. Siddalingaswamy, G. K. Prabhu

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

Abstract

Size and shape analysis is one of the tasks in automated measurement of colon polyps using Computed Tomography Colonography (CTC) images. The research objective was to measure the smaller polyps using image processing techniques. This paper proposes a knowledge-based approach using a semiautomatic method of colon segmentation and morphological image processing methods. The retrospective study included 35 CTC scans for evaluation. The combined approach of analyzing the polyp from domain perspective and the skeletonization has given good results. It takes ~7 minutes for smaller polyp measurement in a CTC scan of 450-500 images using multithreading on a high-performance computer. The results were statistically tested at α=5% and the measurements were acceptable.

Original language	English
Title of host publication	Proceedings of 2017 International Conference on Graphics and Signal Processing, ICGSP 2017
Publisher	Association for Computing Machinery (ACM)
Pages	26-29
Number of pages	4
Volume	Part F130281
ISBN (Electronic)	9781450352390
DOIs	https://doi.org/10.1145/3121360.3121380
Publication status	Published - 24-06-2017
Event	2017 International Conference on Graphics and Signal Processing, ICGSP 2017 - Singapore, Singapore Duration: 24-06-2017 → 27-06-2017

Conference

Conference	2017 International Conference on Graphics and Signal Processing, ICGSP 2017
Country/Territory	Singapore
City	Singapore
Period	24-06-17 → 27-06-17

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3121360.3121380

Cite this

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title = "An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images",

abstract = "Size and shape analysis is one of the tasks in automated measurement of colon polyps using Computed Tomography Colonography (CTC) images. The research objective was to measure the smaller polyps using image processing techniques. This paper proposes a knowledge-based approach using a semiautomatic method of colon segmentation and morphological image processing methods. The retrospective study included 35 CTC scans for evaluation. The combined approach of analyzing the polyp from domain perspective and the skeletonization has given good results. It takes ~7 minutes for smaller polyp measurement in a CTC scan of 450-500 images using multithreading on a high-performance computer. The results were statistically tested at α=5% and the measurements were acceptable.",

author = "Manjunath, {K. N.} and Siddalingaswamy, {P. C.} and Prabhu, {G. K.}",

year = "2017",

month = jun,

day = "24",

doi = "10.1145/3121360.3121380",

language = "English",

volume = "Part F130281",

pages = "26--29",

booktitle = "Proceedings of 2017 International Conference on Graphics and Signal Processing, ICGSP 2017",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "2017 International Conference on Graphics and Signal Processing, ICGSP 2017 ; Conference date: 24-06-2017 Through 27-06-2017",

}

Manjunath, KN , Siddalingaswamy, PC & Prabhu, GK 2017, An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images. in Proceedings of 2017 International Conference on Graphics and Signal Processing, ICGSP 2017. vol. Part F130281, Association for Computing Machinery (ACM), pp. 26-29, 2017 International Conference on Graphics and Signal Processing, ICGSP 2017, Singapore, Singapore, 24-06-17. https://doi.org/10.1145/3121360.3121380

An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images. / Manjunath, K. N.; Siddalingaswamy, P. C.; Prabhu, G. K.
Proceedings of 2017 International Conference on Graphics and Signal Processing, ICGSP 2017. Vol. Part F130281 Association for Computing Machinery (ACM), 2017. p. 26-29.

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

TY - GEN

T1 - An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images

AU - Manjunath, K. N.

AU - Siddalingaswamy, P. C.

AU - Prabhu, G. K.

PY - 2017/6/24

Y1 - 2017/6/24

N2 - Size and shape analysis is one of the tasks in automated measurement of colon polyps using Computed Tomography Colonography (CTC) images. The research objective was to measure the smaller polyps using image processing techniques. This paper proposes a knowledge-based approach using a semiautomatic method of colon segmentation and morphological image processing methods. The retrospective study included 35 CTC scans for evaluation. The combined approach of analyzing the polyp from domain perspective and the skeletonization has given good results. It takes ~7 minutes for smaller polyp measurement in a CTC scan of 450-500 images using multithreading on a high-performance computer. The results were statistically tested at α=5% and the measurements were acceptable.

AB - Size and shape analysis is one of the tasks in automated measurement of colon polyps using Computed Tomography Colonography (CTC) images. The research objective was to measure the smaller polyps using image processing techniques. This paper proposes a knowledge-based approach using a semiautomatic method of colon segmentation and morphological image processing methods. The retrospective study included 35 CTC scans for evaluation. The combined approach of analyzing the polyp from domain perspective and the skeletonization has given good results. It takes ~7 minutes for smaller polyp measurement in a CTC scan of 450-500 images using multithreading on a high-performance computer. The results were statistically tested at α=5% and the measurements were acceptable.

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BT - Proceedings of 2017 International Conference on Graphics and Signal Processing, ICGSP 2017

PB - Association for Computing Machinery (ACM)

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ER -

An Improved Method of Polyp Size Measurement in Computed Tomography Colonography Images

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