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.
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
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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U2 - 10.1145/3121360.3121380
DO - 10.1145/3121360.3121380
M3 - Conference contribution
AN - SCOPUS:85030161525
VL - Part F130281
T3 - ACM International Conference Proceeding Series
SP - 26
EP - 29
BT - Proceedings of 2017 International Conference on Graphics and Signal Processing, ICGSP 2017
PB - Association for Computing Machinery (ACM)
T2 - 2017 International Conference on Graphics and Signal Processing, ICGSP 2017
Y2 - 24 June 2017 through 27 June 2017
ER -