2016 Fiscal Year Final Research Report
Image analysis in ultrasonography using wavelet transform and its application to the diagnosis of Sjoegren's syndrome
Project/Area Number |
26462843
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Pathobiological dentistry/Dental radiology
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Research Institution | Kyushu University |
Principal Investigator |
Ohki Masafumi 九州大学, 医学研究院, 教授 (10160441)
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Co-Investigator(Renkei-kenkyūsha) |
NAKAMURA Takashi 長崎大学, 大学院医歯薬学総合研究科, 教授 (30172406)
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Research Collaborator |
MATSUI Takehiro
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Keywords | ウェーブレット変換 / シェーグレン症候群 / 超音波画像診断 |
Outline of Final Research Achievements |
In this study, we aimed to develop an image analysis for improving diagnostic accuracy in ultrasonography, which is highly important as a noninvasive diagnosis of Sjoegren's syndrome. We developed an image analysis using dual tree complex wavelet transform (DT - CWT) and analyzed the parotid gland ultrasonographic images of 174 patients, including 77 cases who were considered positive for Sjoegren 's syndrome by sialography. As a result of the diagnostic accuracy combined with DT-CWT and machine learning, the sensitivity in the low severity group was 90 ± 3.7% and the accuracy was 88 ± 4.2%. The fact that the sensitivity was 79% and the accuracy was 80% by a dentist indicated the usefulness of this image analysis in clinical diagnosis.
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Free Research Field |
医用画像処理
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