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Proceedings Paper

A study on the performance evaluation of computer-aided diagnosis for detecting pulmonary nodules for the various CT reconstruction
Author(s): Shinichi Wada; Toru Matsumoto; Kohei Murao; Shusuke Sone
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Paper Abstract

The purpose of this study was to evaluate the performance of computer-aided diagnosis (CAD) system detecting pulmonary nodules for the various CT image qualities of the low dose CT cancer screening. Sixty three chest examinations with sixty-four pulmonary nodules consisting mainly ground-glass opacity (GGO) were used. All the CT images were acquired by using a multi-slice CT scanner Asteion with 4 detector rows system (Toshiba Medical Systems, Japan) with 0.75-second rotating time and 30mA. After the examination, CT image reconstructions were performed for every CT data set using seven reconstruction kernels and three sorts of slice thickness. Totally twenty-one data sets for a patient, namely 1323 data sets with about 60 thousands CT images which is 30.1GB data sets were investigated. Nodule detections were carried out using a computer-aided diagnosis system developed by Fujitsu Ltd, Japan. The mean nodule size was 0.69±0.28 (SD)[cm](range, 0.3-1.7cm). The CAD system identified 42 to 48 nodules out of the 64 nodules, in the slice thickness of 8mm for the seven reconstruction kernels, yielding a true-positive rate (TPR) of 65% to 75%. In the slice thickness of 5mm our CAD system indicates a TPR from 70% to 80%. In the slice thickness 10mm, TPR were resulted from 50% to 64%. Some kernel indicated relatively high TPR with high FP, other kernel showed high sensitivity with relatively low FP. CT image data sets with multi-reconstruction conditions is useful in assessing the robust characteristics of a CAD system detecting pulmonary nodule by multi-slice low dose CT screening.

Paper Details

Date Published: 17 March 2006
PDF: 8 pages
Proc. SPIE 6146, Medical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment, 61461C (17 March 2006); doi: 10.1117/12.654418
Show Author Affiliations
Shinichi Wada, Niigata Univ. (Japan)
Toru Matsumoto, National Institute of Radiological Sciences (Japan)
Kohei Murao, Fujitsu Ltd. (Japan)
Shusuke Sone, JA Azumi General Hospital (Japan)


Published in SPIE Proceedings Vol. 6146:
Medical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Miguel P. Eckstein, Editor(s)

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