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In vivo detection of atherosclerotic plaque using non-contact and label-free near-infrared hyperspectral imaging.pdf
Atherosclerosis 250 (2016) 106e113
Contents lists available at ScienceDirect
Atherosclerosis
journal homepage: /locate/atherosclerosis
In vivo detection of atherosclerotic plaque using non-contact and label-free near-infrared hyperspectral imaging
Hideo Chihara a, Naoya Oishi b, c, *, Akira Ishii a, Toshihiro Munemitsu d, Daisuke Arai a, Hiroyuki Ikeda a, Susumu Miyamoto a
a Department of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan b Human Brain Research Center, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan c Department of Psychiatry, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan d Department of Neurosurgery, Shiga Medical Center for Adults, 5-4-30 Moriyama, Moriyama-shi, Shiga, 524-8524, Japan
article info
Article history: Received 19 January 2016 Received in revised form 28 April 2016 Accepted 29 April 2016 Available online 10 May 2016
Keywords: Atherosclerosis Atherosclerotic plaque Near-infrared Hyperspectral imaging Non-contact Support vector machine
abstract
Background and aims: Detecting detailed atherosclerotic plaques is important to reduce risk factors during surgery. However, there are few methods to evaluate them during surgery. The aim of this study was to establish an in vivo, non-contact, and label-free imaging method for identifying atherosclerotic plaque lesions from outside vessels with a diffuse-re?ectance near-infrared (NIR) hyperspectral imaging (HSI) system. Methods: NIR spectra between 1000 and 2350 nm were measured using an NIR HSI imaging system outside the exposed abdominal aorta in ?ve Watanabe Heritable Hyperlipidemic (WHHL) rabbits in vivo. Preprocessed data were input to a supervised machine learning algorithm called a support vector machine (SVM) to create pixel-based images that can predict atherosclerotic plaques within a vessel. The images were c
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