Presentation 2007-01-26
False Positive Reduction for Detecting Pulmonary Nodules on CT based on Spatial Statistical Analysis
Hotaka TAKIZAWA, Shinji YAMAMOTO, Tsuyoshi SHIINA,
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Abstract(in English) This paper describes a novel discrimination method of pulmonary nodules based on statistical analysis of thoracic computed tomography (CT) scans. Our previous Computer-Aided Diagnosis (CAD) system can detect pulmonary nodules from CT scans, but, at the same time, yields many false positives. In order to reduce the false positives, the method proposed in the present paper uses a relationship between pulmonary nodules, false positives and image information on CT scans. The trend of variation of the relationships is acquired through statistical analysis of a set of CT scans prepared for training. In testing, by use of the trend, the method predicts the appearance of pulmonary nodules and false positives in a CT scan, and improves the accuracy of the previous CAD system by modifying the system's output based on the prediction. The method is applied to 218 actual thoracic CT scans with 386 actual pulmonary nodules. The detection accuracy is improved.
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Keyword(in English) Detection of pulmonary nodules / Thoracic CT scans / Computer-aided diagnosis / Statistical analysis / Spatial relationship
Paper # MI2006-106
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Committee MI
Conference Date 2007/1/19(1days)
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Registration To Medical Imaging (MI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) False Positive Reduction for Detecting Pulmonary Nodules on CT based on Spatial Statistical Analysis
Sub Title (in English)
Keyword(1) Detection of pulmonary nodules
Keyword(2) Thoracic CT scans
Keyword(3) Computer-aided diagnosis
Keyword(4) Statistical analysis
Keyword(5) Spatial relationship
1st Author's Name Hotaka TAKIZAWA
1st Author's Affiliation University of Tsukuba()
2nd Author's Name Shinji YAMAMOTO
2nd Author's Affiliation Chukyo University
3rd Author's Name Tsuyoshi SHIINA
3rd Author's Affiliation University of Tsukuba
Date 2007-01-26
Paper # MI2006-106
Volume (vol) vol.106
Number (no) 509
Page pp.pp.-
#Pages 4
Date of Issue