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Proceedings Paper

Automated detection of polyps from multislice CT images using 3D morphologic matching algorithm: phantom study
Author(s): Yonghum Na; Jin Sung Kim; Bruce R. Whiting; Kyongtae Ty Bae
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Paper Abstract

A colon polyp phantom, 28 cm long and 5 cm in diameter, was constructed by inflating a latex ultrasound transducer cover. Four round pieces of ham (3, 6, 9, 12 mm diameter) were imbedded in the outer membrane surface of the phantom and then were tied by string at the base to simulate pedunculated polyps. Three more pieces of ham (3, 6, 9 mm) were impressed and taped on the outer surface to simulate sessile polyps. The circumference of the phantom was constricted by string at four evenly spaced locations to simulate haustral folds. The phantom was placed in a water bath and was modified by infusing water into the lumen or by partially deflating the lumen, and then rescanned. CT images were obtained in a multi-slice CT (4x1 mm collimation, 0.5s scan, 120 Kvp, 90 mAs, 1 mm slice thickness). CT images were processed with our computer-aided detection program. First, the three-dimensional colonic boundary and inner structure were segmented. From this segmented region, soft-tissue structures were extracted and labeled to generate candidates. Shape features were evaluated along with geometric constraints. Three-dimensional region-growing and morphologic matching processes were applied to refine and classify the candidates. The detected polyps were compared with the true polyps in the phantom or known polyps in clinical cases to calculate the sensitivity and false positives.

Paper Details

Date Published: 15 May 2003
PDF: 5 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480829
Show Author Affiliations
Yonghum Na, Washington Univ. (United States)
Korea Advanced Institute of Science and Technology (Korea)
Jin Sung Kim, Washington Univ. (United States)
Korea Advanced Institute of Science and Technology (Korea)
Bruce R. Whiting, Washington Univ. (United States)
Korea Advanced Institute of Science and Technology (Korea)
Kyongtae Ty Bae, Washington Univ. (United States)
Korea Advanced Institute of Science and Technology (Korea)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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