PMID- 29076309 OWN - NLM STAT- MEDLINE DCOM- 20180702 LR - 20240327 IS - 1560-2281 (Electronic) IS - 1083-3668 (Print) IS - 1083-3668 (Linking) VI - 22 IP - 10 DP - 2017 Oct TI - Optimization of dual-wavelength intravascular photoacoustic imaging of atherosclerotic plaques using Monte Carlo optical modeling. PG - 1-12 LID - 10.1117/1.JBO.22.10.106012 [doi] LID - 106012 AB - Coronary heart disease (the presence of coronary atherosclerotic plaques) is a significant health problem in the industrialized world. A clinical method to accurately visualize and characterize atherosclerotic plaques is needed. Intravascular photoacoustic (IVPA) imaging is being developed to fill this role, but questions remain regarding optimal imaging wavelengths. We utilized a Monte Carlo optical model to simulate IVPA excitation in coronary tissues, identifying optimal wavelengths for plaque characterization. Near-infrared wavelengths (/=2 mm in arteries. Across the arterial wall, fluence may vary by over 10-fold, confounding plaque characterization. For single-wavelength results, plaque segmentation accuracy peaked at 1210 and 1720 nm, though correlation was poor (<0.13). Dual-wavelength analysis proved promising, with 1210 nm as the most successful primary wavelength ( approximately 1.0). Results suggest that, without flushing the luminal blood, a primary and secondary wavelength near 1210 and 1350 nm, respectively, may offer the best implementation of dual-wavelength IVPA imaging. These findings could guide the development of a cost-effective clinical system by highlighting optimal wavelengths and improving plaque characterization. CI - (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). FAU - Dana, Nicholas AU - Dana N AD - University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States. FAU - Sowers, Timothy AU - Sowers T AD - Georgia Institute of Technology, Parker H. Petit Institute for Bioengineering and Bioscience, Atlant, United States. AD - Georgia Institute of Technology, George W. Woodruff School of Mechanical Engineering, Atlanta, Georg, United States. FAU - Karpiouk, Andrei AU - Karpiouk A AD - Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States. FAU - Vanderlaan, Donald AU - Vanderlaan D AD - Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States. FAU - Emelianov, Stanislav AU - Emelianov S AD - Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States. AD - Emory University School of Medicine, Georgia Institute of Technology, Wallace H. Coulter Department, United States. LA - eng GR - R01 HL124417/HL/NHLBI NIH HHS/United States GR - T32 EB007507/EB/NIBIB NIH HHS/United States PT - Journal Article PL - United States TA - J Biomed Opt JT - Journal of biomedical optics JID - 9605853 SB - IM MH - Atherosclerosis/*diagnostic imaging MH - Humans MH - Monte Carlo Method MH - *Photoacoustic Techniques MH - Plaque, Atherosclerotic/*diagnostic imaging MH - Spectrum Analysis PMC - PMC5658287 OTO - NOTNLM OT - Monte Carlo OT - atherosclerosis OT - clinical OT - intravascular OT - photoacoustic OT - spectroscopic EDAT- 2017/10/28 06:00 MHDA- 2018/07/03 06:00 PMCR- 2018/10/27 CRDT- 2017/10/28 06:00 PHST- 2017/07/21 00:00 [received] PHST- 2017/09/28 00:00 [accepted] PHST- 2017/10/28 06:00 [entrez] PHST- 2017/10/28 06:00 [pubmed] PHST- 2018/07/03 06:00 [medline] PHST- 2018/10/27 00:00 [pmc-release] AID - JBO-170468R [pii] AID - 170468R [pii] AID - 10.1117/1.JBO.22.10.106012 [doi] PST - ppublish SO - J Biomed Opt. 2017 Oct;22(10):1-12. doi: 10.1117/1.JBO.22.10.106012.