A model-based acoustic reconstruction algorithm for deep tissue clinical photoacoustic imaging of cancerous tissues labeled with contrast agents (Conference Presentation)

Idan Steinberg; David Huland; Willemieke Tummers M.D.; Sri Rajasekhar (Raj) Kothapalli; Sanjiv Gambhir M.D.

doi:10.1117/12.2291081

15 March 2018 A model-based acoustic reconstruction algorithm for deep tissue clinical photoacoustic imaging of cancerous tissues labeled with contrast agents (Conference Presentation)

Idan Steinberg, David Huland, Willemieke Tummers M.D., Sri Rajasekhar (Raj) Kothapalli, Sanjiv Gambhir M.D.

Author Affiliations +

Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 104942G (2018) https://doi.org/10.1117/12.2291081
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Molecular photoacoustic imaging of targeted agents in vivo can be a valuable tool for biopsy guidance, tumor detection and delineation. Recently, our group has developed a prototype clinical, side looking, photoacoustic and ultrasonic system based on capacitive micro-machined ultrasound transducers. The system was used for imaging both fresh ex vivo pancreatic cancer samples labeled with functionalized IRDye-800 as well as in vivo trans-rectal imaging of prostate cancer patients with and without Indocyanine green contrast agent. Beamforming algorithms were used to provide real-time imaging albeit their low contrast to background ratio. To improve the quality images, presented here is a model-based acoustic reconstruction technique. The model is adapted to a sector scanning convention common in ultrasonography, compensates for the effects of non-ideal element directivity, impulse response and uneven responsivity as well as the ultrasound’s time dependent gain and the medium’s acoustic attenuation. Despite the low element count and the very limited viewing angle of the transducer, this technique was capable of reconstructing high-quality photoacoustic images both ex vivo and in vivo with a significant increase in contrast compared to the commonly used Universal back-projection algorithm. For ex vivo imaging, the results are also compared with fluorescence imaging showing a high degree of correlation. This study demonstrates the feasibility and the potential of the model based reconstruction approach for real-time visualization of contrast agents in vivo deep within the tissue, either intraoperatively or in routine imaging. Thus, such approach opens avenues for better cancer detection, diagnosis, treatment and monitoring.

Conference Presentation

Citation Download Citation

Idan Steinberg, David Huland, Willemieke Tummers M.D., Sri Rajasekhar (Raj) Kothapalli, and Sanjiv Gambhir M.D. "A model-based acoustic reconstruction algorithm for deep tissue clinical photoacoustic imaging of cancerous tissues labeled with contrast agents (Conference Presentation)", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104942G (15 March 2018); https://doi.org/10.1117/12.2291081

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

In vivo imaging

Reconstruction algorithms

Acoustics

Imaging systems

Model-based design

Photoacoustic spectroscopy

Ultrasonography

Show All Keywords

Keywords/Phrases

Search In:

Publication Years