TY - GEN
T1 - Application of a Photoacoustic Sensor for Colon Cancer Imaging
T2 - IEEE SENSORS 2023
AU - Ghanbarzadeh-Daghyean, Ashkan
AU - Joseph, Francis Kalloor
AU - Mooij, Cyrille
AU - Van Der Stel, Stefan
AU - Ruers, Theo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/11/28
Y1 - 2023/11/28
N2 - The incidence of colorectal cancer is on the rise on a global scale. Besides research into novel treatment schemes, accurate monitoring techniques are necessary to help in the process, especially for the post-treatment period. Recently, photoacoustic (PA) imaging has been investigated as a tool for detecting and monitoring colon cancer, with a potential of distinguishing various tissue types. In this initial study, we report using an LED-based PA sensor on a colon cancer specimen, ex-vivo. Our initial data with an LED of a wavelength equal to 850 nm shows that the PA signal is weaker in the malignant region when compared to healthy colon tissue or fat, while stronger than the signal in water (noise level). These results pave the way for larger studies, including data from more patients and various types of tumors.
AB - The incidence of colorectal cancer is on the rise on a global scale. Besides research into novel treatment schemes, accurate monitoring techniques are necessary to help in the process, especially for the post-treatment period. Recently, photoacoustic (PA) imaging has been investigated as a tool for detecting and monitoring colon cancer, with a potential of distinguishing various tissue types. In this initial study, we report using an LED-based PA sensor on a colon cancer specimen, ex-vivo. Our initial data with an LED of a wavelength equal to 850 nm shows that the PA signal is weaker in the malignant region when compared to healthy colon tissue or fat, while stronger than the signal in water (noise level). These results pave the way for larger studies, including data from more patients and various types of tumors.
KW - cancer detection
KW - colon cancer
KW - photoacoustics
KW - ultrasound
KW - 2024 OA procedure
UR - http://www.scopus.com/inward/record.url?scp=85179759963&partnerID=8YFLogxK
U2 - 10.1109/SENSORS56945.2023.10325225
DO - 10.1109/SENSORS56945.2023.10325225
M3 - Conference contribution
AN - SCOPUS:85179759963
T3 - Proceedings of IEEE Sensors
BT - 2023 IEEE SENSORS
PB - IEEE
Y2 - 29 October 2023 through 1 November 2023
ER -