K N Manjunath1, P C Siddalingaswamy2, G K Prabhu3. 1. Faculty, Computer Science and Engineering, Manipal Institute of Technology, Manipal University, Manipal, 576104, India. knm_mit@yahoo.com. 2. Faculty, Computer Science and Engineering, Manipal Institute of Technology, Manipal University, Manipal, 576104, India. 3. Faculty, Biomedical Engineering, Manipal Institute of Technology, Manipal University, Manipal, 576104, India.
Abstract
PURPOSE: Automated measurement of the size and shape of colon polyps is one of the challenges in Computed tomography colonography (CTC). The objective of this retrospective study was to improve the sensitivity and specificity of smaller polyp measurement in CTC using image processing techniques. METHODS: A domain knowledge-based method has been implemented with hybrid method of colon segmentation, morphological image processing operators for detecting the colonic structures, and the decision-making system for delineating the smaller polyp-based on a priori knowledge. RESULTS: The method was applied on 45 CTC dataset. The key finding was that the smaller polyps were accurately measured. In addition to 6-9 mm range, polyps of even <5 mm were also detected. The results were validated qualitatively and quantitatively using both 2D MPR and 3D view. Implementation was done on a high-performance computer with parallel processing. It takes [Formula: see text] min for measuring the smaller polyp in a dataset of 500 CTC images. With this method, [Formula: see text] and [Formula: see text] were achieved. CONCLUSIONS: The domain-based approach with morphological image processing has given good results. The smaller polyps were measured accurately which helps in making right clinical decisions. Qualitatively and quantitatively the results were acceptable when compared to the ground truth at [Formula: see text].
PURPOSE: Automated measurement of the size and shape of colon polyps is one of the challenges in Computed tomography colonography (CTC). The objective of this retrospective study was to improve the sensitivity and specificity of smaller polyp measurement in CTC using image processing techniques. METHODS: A domain knowledge-based method has been implemented with hybrid method of colon segmentation, morphological image processing operators for detecting the colonic structures, and the decision-making system for delineating the smaller polyp-based on a priori knowledge. RESULTS: The method was applied on 45 CTC dataset. The key finding was that the smaller polyps were accurately measured. In addition to 6-9 mm range, polyps of even <5 mm were also detected. The results were validated qualitatively and quantitatively using both 2D MPR and 3D view. Implementation was done on a high-performance computer with parallel processing. It takes [Formula: see text] min for measuring the smaller polyp in a dataset of 500 CTC images. With this method, [Formula: see text] and [Formula: see text] were achieved. CONCLUSIONS: The domain-based approach with morphological image processing has given good results. The smaller polyps were measured accurately which helps in making right clinical decisions. Qualitatively and quantitatively the results were acceptable when compared to the ground truth at [Formula: see text].
Authors: Ronald M Summers; Jiamin Liu; Jianhua Yao; Linda Brown; J Richard Choi; Perry J Pickhardt Journal: AJR Am J Roentgenol Date: 2009-11 Impact factor: 3.959
Authors: C Daniel Johnson; Benjamin A Herman; Mei-Hsiu Chen; Alicia Y Toledano; Jay P Heiken; Abraham H Dachman; Mark D Kuo; Christine O Menias; Bettina Siewert; Jugesh I Cheema; Richard Obregon; Jeff L Fidler; Peter Zimmerman; Karen M Horton; Kevin J Coakley; Revathy B Iyer; Amy K Hara; Robert A Halvorsen; Giovanna Casola; Judy Yee; Meredith Blevins; Lawrence J Burgart; Paul J Limburg; Constantine A Gatsonis Journal: Radiology Date: 2012-02-23 Impact factor: 11.105
Authors: C Daniel Johnson; Mei-Hsiu Chen; Alicia Y Toledano; Jay P Heiken; Abraham Dachman; Mark D Kuo; Christine O Menias; Betina Siewert; Jugesh I Cheema; Richard G Obregon; Jeff L Fidler; Peter Zimmerman; Karen M Horton; Kevin Coakley; Revathy B Iyer; Amy K Hara; Robert A Halvorsen; Giovanna Casola; Judy Yee; Benjamin A Herman; Lawrence J Burgart; Paul J Limburg Journal: N Engl J Med Date: 2008-09-18 Impact factor: 91.245
Authors: Sangbu An; Kyoung Ho Lee; Young Hoon Kim; Seong Ho Park; Hyun Young Kim; Se Hyung Kim; Nayoung Kim Journal: AJR Am J Roentgenol Date: 2008-09 Impact factor: 3.959