Notice of Removal: SO2 quantification of rat HCC tumors using fluence-corrected photoacoustic imaging

Mohamed Naser, Houra Taghavi, Nina Munoz, Kiersten Maldonado, Charles Kingsley, Rony Avritscher, Richard Bouchard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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).

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume0
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
Country/TerritoryUnited States
CityWashington
Period9/6/179/9/17

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Notice of Removal: SO2 quantification of rat HCC tumors using fluence-corrected photoacoustic imaging'. Together they form a unique fingerprint.

Cite this