| Project/Area Number |
08671046
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Iwate Medical University |
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Principal Investigator |
KATSURAGAWA Shigehiko Iwate Medical University, Medical Engineering, Assistant Professor, 医学部, 講師 (60021630)
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| Project Period (FY) |
1996 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 1997: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1996: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | screening chest radiography / computer-aided-diagnosis / digital radiography / Lung nodule / digital image processing / ディジタルラジオグラフィー |
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| Research Abstract |
I have developed a system of computer-aided diagnosis (CAD) in screening digital chest radiography for improvement of detection accuracy of lung nodules. CAD refers to a diagnosis by a radiologist taking into consideration the results of an automated computer analysis of radiographic images as a "second opinion." In this project, I improved a computerized detection method of lung nodules, which was developed previously.In addition, I performed a preliminary research of temporal subtraction technique which can enhance the interval changes by subtracting a previous image from a current one.
1.I derived a new detection algorithm which increases the contrast of lung nodules with various sizes by using matched filters. I applied this method for 200 chest radiographs with lung nodules in order to investigate the detection accuracy. The detection performance was 79% of true positive at 1.7 false positives/image.
2.I derived a temporal subtraction technique with traslation, rotation and warping for matching previous and current images. I applied this technique for 876 pairs of previous and current images obtained by a mobile computed radiography (CR) system. 76.7% of subtraction images without misregistration artifacts were successfully provided.
3.I provided an image database including approximately 10,000 pairs of previous and current images during the term of this project.
4.My results indicates that this CAD system has a potential usefulness for radiologists to detect lung nodules in the screening chest radiography.
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