Computer-aided Detection Scheme for Coronary Artery Stenoses on Whole Heart Coronary MR Angiography
Project/Area Number |
25350565
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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 |
Medical systems
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Research Institution | Ritsumeikan University (2015) Mie University (2013-2014) |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
ISHIDA MASAKI 三重大学, 医学部附属病院, 助教 (10456741)
SAKUMA HAJIME 三重大学, 医学系研究科, 教授 (60205797)
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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Keywords | 冠動脈MRA / 冠動脈狭窄 / 検出支援システム / 超解像技術 / 超解像 / AHA分類 |
Outline of Final Research Achievements |
The purpose of this study was to develop a computer-aided detection (CADe) scheme for coronary artery stenoses on whole-heart coronary magnetic resonance angiography (MRA). Based on the curvatures and the lengths from beginning and bifurcations, the segmented arteries were classified according to the American Heart Association (AHA) classifications. The signal intensity at each voxel of centerline of the segmented artery was defined by the maximum signal intensity within a circle with a radius of 3 voxels centered at the voxel in the original MRA image. While tracing the centerline, the voxel with which the signal intensity showed rapid reduction was finally detected as arterial stenosis. Threshold levels for this detection were selected empirically at each AHA classification by taking into account the variations in the signal intensities for normal coronary artery. With our CADe scheme, a sensitivity of artery stenoses was 87.2% with 1.83 false positives (FPs) per patient.
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Report
(4 results)
Research Products
(22 results)
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[Journal Article] Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT.2016
Author(s)
Ishida M, Kitagawa K, Ichihara T, Natsume T, Nakayama R, Nagasawa N, Kubooka M, Ito T, Uno M, Goto Y, Nagata M, Sakuma H.
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Journal Title
J Cardiovasc Comput Tomogr.
Volume: online
Issue: 3
Pages: 1-8
DOI
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Peer Reviewed / Open Access
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[Presentation] Additive diagnostic value of coronary MRA in the stress cardiac MR protocol including stress myocardial perfusion MRI and late gadolinium enhanced MRI for the detection of coronary artery disease2014
Author(s)
Masaki Ishida, Mio Uno, Ryohei Nakayama, Yoshitaka Goto, Tatsuro Ito, Motonori Nagata, Yasutaka Ichikawa, Kaoru Dohi, Kakuya Kitagawa, Hajime Sakuma
Organizer
Radiological Society of North America 2014, 100th Scientific Assembly and Annual Meeting
Place of Presentation
Chicago, USA
Year and Date
2014-11-30 – 2014-12-05
Related Report
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[Presentation] Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA2014
Author(s)
Masaki Ishida, Ryohei Nakayama, Mio Uno, Tatsuro Ito, Yoshitaka Goto, Yasutaka Ichikawa, Motonori Nagata, Kakuya Kitagawa, Shiro Nakamori, Kaoru Dohi, Masaaki Ito, Hajime Sakuma
Organizer
17th Annual SCMR Scientific Sessions
Place of Presentation
New Orleans, USA
Related Report
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