Image analysis of patient data from the hybrid photoacoustic-ultrasound tomography system PAM3

The PAM3 system is a hybrid photoacoustic-ultrasound system for imaging the breast. The ultrasound mode enables extraction of speed-of-sound (SOS) maps that can be used to improve photoacoustic (PA) reconstruction. SOS holds information that can be used potentially for tissue characterization and discrimination. PA computed tomography images were reconstructed using an iterative model-based optimization framework. An image analysis pipeline has been developed to analyze the PA/US images and compare them with contrast-enhanced Magnetic Resonance (ceMR) images. We imaged patients using PAM3 in a study approved by the Medical Ethics Review Board. Patients with a tumor suspicious for malignancy, based on conventional diagnostic imaging, were asked to participate. All patients received X-ray mammography, ultrasound imaging and ceMR imaging. The preliminary results on a patient with a fibroadenoma demonstrate that combining multi-wavelength PA and sound speed imaging is potentially valuable for visualizing breast cancer. From PA we obtain functional information with sound speed providing structural information.

Authors

Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1117/12.3043362
Citations
1
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Image analysis of patient data from the hybrid photoacoustic-ultrasound tomography system PAM3

Ben Cox, Srirang Manohar, Mariël Brinkhuis, Rianne Bulthuis et al.
1 citations
Photoacoustic and Ultrasonic Imaging
0.67
article

Image analysis of patient data from the hybrid photoacoustic-ultrasound tomography system PAM3

Ben Cox, Srirang Manohar, Mariël Brinkhuis, Rianne Bulthuis, Felix F. Lucka, Bruno De Santi, M. van der Schaaf, Hendrik A. Messal, Jeroen Veltman
article en
1 citations

Abstract

The PAM3 system is a hybrid photoacoustic-ultrasound system for imaging the breast. The ultrasound mode enables extraction of speed-of-sound (SOS) maps that can be used to improve photoacoustic (PA) reconstruction. SOS holds information that can be used potentially for tissue characterization and discrimination. PA computed tomography images were reconstructed using an iterative model-based optimization framework. An image analysis pipeline has been developed to analyze the PA/US images and compare them with contrast-enhanced Magnetic Resonance (ceMR) images. We imaged patients using PAM3 in a study approved by the Medical Ethics Review Board. Patients with a tumor suspicious for malignancy, based on conventional diagnostic imaging, were asked to participate. All patients received X-ray mammography, ultrasound imaging and ceMR imaging. The preliminary results on a patient with a fibroadenoma demonstrate that combining multi-wavelength PA and sound speed imaging is potentially valuable for visualizing breast cancer. From PA we obtain functional information with sound speed providing structural information.

Horizon 2020 Framework Programme, European Regional Development Fund, Pioneers in Health Care Innovation Fund, University of Twente
Openalex Percentile: Top 34%
Photoacoustic and Ultrasonic Imaging
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.