TY - GEN
T1 - Notice of Removal
T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017
AU - Naser, Mohamed
AU - Taghavi, Houra
AU - Munoz, Nina
AU - Maldonado, Kiersten
AU - Kingsley, Charles
AU - Avritscher, Rony
AU - Bouchard, Richard
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/31
Y1 - 2017/10/31
N2 - Spectroscopic photoacoustic (sPA) can estimate blood oxygen saturation (SO2), which has been shown to correlate with hypoxia, and therefore could improve cancer diagnosis and treatment monitoring. However, accurate quantification of SO2 is often not straightforward as local fluence varies significantly at depth due to wavelength-dependent optical scattering and absorption. Additionally, assessing the quality of an SO2 estimate is not trivial as deep-lying (i.e., centimeter-order depth) PA data tends to be signal-limited, and SNR can vary substantially with wavelength for a particular voxel. This work implements an SNR-based thresholding approach combined with FEM-based local fluence correction to more accurately estimate SO2 in a rat model of hepatocelluar carcinoma (HCC).
AB - Spectroscopic photoacoustic (sPA) can estimate blood oxygen saturation (SO2), which has been shown to correlate with hypoxia, and therefore could improve cancer diagnosis and treatment monitoring. However, accurate quantification of SO2 is often not straightforward as local fluence varies significantly at depth due to wavelength-dependent optical scattering and absorption. Additionally, assessing the quality of an SO2 estimate is not trivial as deep-lying (i.e., centimeter-order depth) PA data tends to be signal-limited, and SNR can vary substantially with wavelength for a particular voxel. This work implements an SNR-based thresholding approach combined with FEM-based local fluence correction to more accurately estimate SO2 in a rat model of hepatocelluar carcinoma (HCC).
UR - http://www.scopus.com/inward/record.url?scp=85039419285&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039419285&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2017.8092935
DO - 10.1109/ULTSYM.2017.8092935
M3 - Conference contribution
AN - SCOPUS:85039419285
T3 - IEEE International Ultrasonics Symposium, IUS
BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017
PB - IEEE Computer Society
Y2 - 6 September 2017 through 9 September 2017
ER -