Title
In vivo demonstration of photoacoustic-guided liver surgery
Date Issued
01 January 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Kempski K.M.
Wiacek A.
Palmer J.
Graham M.
Goodson B.
Allman D.
Hou H.
Beck S.
He J.
Lediju Bell M.A.
Johns Hopkins University
Publisher(s)
SPIE
Abstract
Liver surgeries carry considerable risk of injury to major blood vessels, which can lead to hemorrhaging and possibly patient death. Photoacoustic imaging is one solution to enable intraoperative visualization of blood vessels, which has the potential to reduce the risk of accidental injury to these blood vessels during surgery. This paper presents our initial results of a feasibility study, performed during laparotomy procedures on two pigs, to determine in vivo vessel visibility for photoacoustic-guided liver surgery. Delay-and-sum beamforming and coherence-based beamforming were used to display photoacoustic images and differentiate the signal inside blood vessels from surrounding liver tissue. Color Doppler was used to confirm vessel locations. Results lend insight into the feasibility of photoacoustic-guided liver surgery when the ultrasound probe is fixed and the light source is used to interrogate the surgical workspace.
Volume
10878
Language
English
OCDE Knowledge area
Radiología, Medicina nuclear, Imágenes médicas Tecnologías que implican la manipulación de células, tejidos, órganos o todo el organismo
Scopus EID
2-s2.0-85065432955
ISBN
9781510623989
ISSN of the container
16057422
Conference
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Sponsor(s)
This work was supported by NSF CAREER Award #1751522, REU Supplement to NSF CAREER Award #1751522, and the Computational Sensing & Medical Robotics Research Experience for Undergraduates program at Johns Hopkins University. The authors thank Nicholas Louloudis, Sue Eller, Ivan George, Dr. Lingdi Yin, and Dr. Liang Wang for animal care and surgery support and the Carnegie Center for Surgical Innovation. We also acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU that was used for portions of the signal processing required to display images presented in this paper.
Sources of information: Directorio de Producción Científica Scopus