TY - JOUR
T1 - Short-wave Infrared Photoacoustic Spectroscopy for Lipid and Water Detection
AU - Salinas, Christopher M.
AU - Reichel, Eric
AU - Witte, Russell S.
N1 - Funding Information: ACKNOWLEDGMENTS The authors would like to thank the Translation Biomedical Imaging Resource (TBIR), along with the High Frequency Ultrasound (HFUS) Core Facility at the University of Arizona for access to the Vevo 3100 / LAZR-X. We would also like to thank FUJIFILM VisualSonics for their support of this research through the Vevo Research Award 2021. Publisher Copyright: © 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Lipids play a vital role in brain function; Alzheimer's disease and aging are both associated with changes in lipid composition. Current methods for imaging and monitoring lipid deposits within the brain have poor spatial resolution, sensitivity, and/or penetration depth. Photoacoustic imaging (PA/PAI) allows for deep (>5mm) mapping of optical absorption_properties of biological tissue.; however, water and lipid have relatively weak optical absorption properties in the typical near-infrared window used for PAI (700-1000nm). This study investigates PAI in the short-wave infrared (SWIR) range (>1200nm) as a method to dramatically enhance lipid and water contrast. Due to multiple strong absorption peaks within this optical window, a three wavelength unmixing technique labeled Tri- Concentration Mapping (CM) is shown to have the ability to quantify lipid and water content several millimeters into tissue. Values of lipid and water concentration are calculated at voxels within sections of marbled bovine muscular tissue. Investigated regions of muscular meat show a bimodal distribution about 75% and 50% predicted water concentration. Calculated lipid regions at depths of 5mm display a more precise distribution centered around a lipid concentration of 57.25%. This technique demonstrates the ability of SWIR PAI and Tri- CM to identify and characterize lipid content within tissue at depths greater than 5mm. The results of this study show promise of the technique for use in more advanced studies, such as tracking Alzheimer's disease progression within mice.
AB - Lipids play a vital role in brain function; Alzheimer's disease and aging are both associated with changes in lipid composition. Current methods for imaging and monitoring lipid deposits within the brain have poor spatial resolution, sensitivity, and/or penetration depth. Photoacoustic imaging (PA/PAI) allows for deep (>5mm) mapping of optical absorption_properties of biological tissue.; however, water and lipid have relatively weak optical absorption properties in the typical near-infrared window used for PAI (700-1000nm). This study investigates PAI in the short-wave infrared (SWIR) range (>1200nm) as a method to dramatically enhance lipid and water contrast. Due to multiple strong absorption peaks within this optical window, a three wavelength unmixing technique labeled Tri- Concentration Mapping (CM) is shown to have the ability to quantify lipid and water content several millimeters into tissue. Values of lipid and water concentration are calculated at voxels within sections of marbled bovine muscular tissue. Investigated regions of muscular meat show a bimodal distribution about 75% and 50% predicted water concentration. Calculated lipid regions at depths of 5mm display a more precise distribution centered around a lipid concentration of 57.25%. This technique demonstrates the ability of SWIR PAI and Tri- CM to identify and characterize lipid content within tissue at depths greater than 5mm. The results of this study show promise of the technique for use in more advanced studies, such as tracking Alzheimer's disease progression within mice.
KW - Photoacoustic
KW - SWIR Alzheimer's
KW - concentration mapping
KW - depth-dependent fluence
KW - lipid
KW - water
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U2 - 10.1109/IUS52206.2021.9593904
DO - 10.1109/IUS52206.2021.9593904
M3 - Conference article
SN - 1948-5719
JO - IEEE International Ultrasonics Symposium, IUS
JF - IEEE International Ultrasonics Symposium, IUS
T2 - 2021 IEEE International Ultrasonics Symposium, IUS 2021
Y2 - 11 September 2011 through 16 September 2011
ER -