2016 Fiscal Year Final Research Report
Clinicall application of laser blood flow image information measurement technology to diagnose and predict arteriosclerosis
| Project/Area Number |
26350523
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Biomedical engineering/Biomaterial science and engineering
|
|---|
| Research Institution | National Institute of Technology, Toyama College |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Keywords | 血流速度 / in-vivo計測 / 血管血流画像計測 / 血流速分布 / LDV / 多点同時計測 |
|---|
| Outline of Final Research Achievements |
The developed L-MLDV system can realize velocity distribution imaging of the carotid artery in a living mouse by means of traverse laser light. We subsequently developed a cross-sectional multiple-point laser Doppler velocimetry (CS-MLDV) system, which can measure the instantaneous two-dimensional flow velocity. An instantaneous 2D velocity distribution can be obtained even for the case of flowing blood. We carried out in-vivo measurement in a mesenteric vessel of a mouse in order to demonstrate the potential of the CS-MLDV. The instantaneous velocity distribution in the flow channel around the obstruction was measured using the MLDV system. Velocity distribution images were obtained by scanning the rectangular flow channel. We attempted to perform non-invasive breast cancer imaging using a MLDV system to monitor blood flow. The validity of the MLDV results was verified through comparison with the results of a computational fluid dynamics (CFD) analysis.
|
| Free Research Field |
複合領域 生体医工学
|
