Title |
Fluorescence multispectral imaging-based diagnostic system for atherosclerosis
|
---|---|
Published in |
BioMedical Engineering OnLine, August 2016
|
DOI | 10.1186/s12938-016-0220-z |
Pubmed ID | |
Authors |
Cassandra Su Lyn Ho, Toshikatsu Horiuchi, Hiroaki Taniguchi, Araya Umetsu, Kohsuke Hagisawa, Keiichi Iwaya, Kanji Nakai, Amalina Azmi, Natasha Zulaziz, Azran Azhim, Nariyoshi Shinomiya, Yuji Morimoto |
Abstract |
Composition of atherosclerotic arterial walls is rich in lipids such as cholesterol, unlike normal arterial walls. In this study, we aimed to utilize this difference to diagnose atherosclerosis via multispectral fluorescence imaging, which allows for identification of fluorescence originating from the substance in the arterial wall. The inner surface of extracted arteries (rabbit abdominal aorta, human coronary artery) was illuminated by 405 nm excitation light and multispectral fluorescence images were obtained. Pathological examination of human coronary artery samples were carried out and thickness of arteries were calculated by measuring combined media and intima thickness. The fluorescence spectra in atherosclerotic sites were different from those in normal sites. Multiple regions of interest (ROI) were selected within each sample and a ratio between two fluorescence intensity differences (where each intensity difference is calculated between an identifier wavelength and a base wavelength) from each ROI was determined, allowing for discrimination of atherosclerotic sites. Fluorescence intensity and thickness of artery were found to be significantly correlated. These results indicate that multispectral fluorescence imaging provides qualitative and quantitative evaluations of atherosclerosis and is therefore a viable method of diagnosing the disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 25% |
Student > Ph. D. Student | 2 | 13% |
Researcher | 2 | 13% |
Student > Master | 2 | 13% |
Professor | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 31% |
Engineering | 4 | 25% |
Chemistry | 1 | 6% |
Unknown | 6 | 38% |