Literature DB >> 25836881

1.7-μm spectroscopic spectral-domain optical coherence tomography for imaging lipid distribution within blood vessel.

Masato Tanaka, Mitsuharu Hirano, Kiyotaka Murashima, Hiroshi Obi, Ryo Yamaguchi, Takemi Hasegawa.   

Abstract

We have developed a spectroscopic optical coherence tomography (OCT) for imaging lipid distribution within blood vessel in order to detect coronary artery plaque. A 1.7-μm spectral-domain OCT with A-scan rate of 47 kHz is fabricated using a broadband light source based on super-luminescent diodes and spectrometers based on extended InGaAs line sensors. We demonstrate imaging of lipid distribution in an in vitro artery model with lipid. The sensitivity and specificity in the differentiation between artery and lipid are 87% and 90% in the training, respectively. The validation test also shows detection of lipid with an accuracy over 90%.

Entities:  

Year:  2015        PMID: 25836881     DOI: 10.1364/OE.23.006645

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  4 in total

1.  Noise-bias and polarization-artifact corrected optical coherence tomography by maximum a-posteriori intensity estimation.

Authors:  Aaron C Chan; Young-Joo Hong; Shuichi Makita; Masahiro Miura; Yoshiaki Yasuno
Journal:  Biomed Opt Express       Date:  2017-03-03       Impact factor: 3.732

2.  High-spatial-resolution deep tissue imaging with spectral-domain optical coherence microscopy in the 1700-nm spectral band.

Authors:  Masahito Yamanaka; Naoki Hayakawa; Norihiko Nishizawa
Journal:  J Biomed Opt       Date:  2019-07       Impact factor: 3.170

3.  Optical coherence microscopy in 1700 nm spectral band for high-resolution label-free deep-tissue imaging.

Authors:  Masahito Yamanaka; Tatsuhiro Teranishi; Hiroyuki Kawagoe; Norihiko Nishizawa
Journal:  Sci Rep       Date:  2016-08-22       Impact factor: 4.379

Review 4.  Review on Laser Technology in Intravascular Imaging and Treatment.

Authors:  Jing Li; Ce Shang; Yao Rong; Jingxuan Sun; Yuan Cheng; Boqu He; Zihao Wang; Ming Li; Jianguo Ma; Bo Fu; Xunming Ji
Journal:  Aging Dis       Date:  2022-02-01       Impact factor: 6.745

  4 in total

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