TY - GEN
T1 - Modeling transcutaneous Vis-NIR spectroscopy of metacarpal bone
AU - Arefin, Mohammed Shahriar
AU - Querido, William
AU - Spurri, Amanda
AU - Pleshko, Nancy
AU - Patil, Chetan A.
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2024
Y1 - 2024
N2 - The ability to perform routine monitoring of bone quality is crucial for patients with bone diseases such as osteoporosis. Current assessments of bone quality are expensive and cannot be used regularly without exposing patients to ionizing radiation. Alternatively, visible-near infrared (Vis-NIR) spectroscopy is a non-invasive, non-ionizing technique that can be used to assess the compositional properties of bone. Recently, studies have reported agreement between transcutaneous Vis-NIR spectroscopic measures of bone quality and conventional radiographic measures collected from the second metacarpal bone of the hand. Computational simulations using Monte-Carlo (MC) modeling offer a valuable tool to better understand the relative contributions from the underlying bone in comparison with the superficial skin, as well as to investigate the relative benefits of specific fiberoptic illumination/collection geometries for transcutaneous measurement of metacarpal bone. To inform the model, skin from above the 2nd metacarpal bone and the bone itself were dissected from human cadaver hands. Reflectance and transmittance measurements of the skin and bone tissues were taken using an integrating sphere setup in the range of 400 nm-1800 nm. Optical properties were estimated using the Inverse Adding Doubling (IAD) technique. MC models of skin-bone tissues were created using these estimated optical properties as well as physical measurements of tissue thickness, and simulations of fiber-optic Vis-NIR measurements were performed. Results indicate up to 30% of the absorbance signal arises from contributions from the bone in specific spectral ranges.
AB - The ability to perform routine monitoring of bone quality is crucial for patients with bone diseases such as osteoporosis. Current assessments of bone quality are expensive and cannot be used regularly without exposing patients to ionizing radiation. Alternatively, visible-near infrared (Vis-NIR) spectroscopy is a non-invasive, non-ionizing technique that can be used to assess the compositional properties of bone. Recently, studies have reported agreement between transcutaneous Vis-NIR spectroscopic measures of bone quality and conventional radiographic measures collected from the second metacarpal bone of the hand. Computational simulations using Monte-Carlo (MC) modeling offer a valuable tool to better understand the relative contributions from the underlying bone in comparison with the superficial skin, as well as to investigate the relative benefits of specific fiberoptic illumination/collection geometries for transcutaneous measurement of metacarpal bone. To inform the model, skin from above the 2nd metacarpal bone and the bone itself were dissected from human cadaver hands. Reflectance and transmittance measurements of the skin and bone tissues were taken using an integrating sphere setup in the range of 400 nm-1800 nm. Optical properties were estimated using the Inverse Adding Doubling (IAD) technique. MC models of skin-bone tissues were created using these estimated optical properties as well as physical measurements of tissue thickness, and simulations of fiber-optic Vis-NIR measurements were performed. Results indicate up to 30% of the absorbance signal arises from contributions from the bone in specific spectral ranges.
KW - Bone Health
KW - Fiber Optics
KW - Fractional Absorbance
KW - Metacarpal
KW - Monte Carlo simulations
KW - Near-Infrared
KW - Osteoporosis
KW - Visible
UR - http://www.scopus.com/inward/record.url?scp=85190970359&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190970359&partnerID=8YFLogxK
U2 - 10.1117/12.3003263
DO - 10.1117/12.3003263
M3 - Conference contribution
AN - SCOPUS:85190970359
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Biomedical Vibrational Spectroscopy 2024
A2 - Huang, Zhiwei
T2 - Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry
Y2 - 27 January 2024 through 28 January 2024
ER -