Quantitative conductivity reconstruction network for brain hemorrhage detection in thermoacoustic imaging

The above results validate the feasibility of QCR-Net for transcranial hemorrhage detection and highlight its potential as a reliable tool for quantitative thermoacoustic imaging in clinical applications. This work provides a foundation for further development of MITAI as a non-invasive, high-resolution imaging modality for brain hemorrhage diagnosis and grading.

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Publication Details

Journal
Medical Physics
Published
2026-01-01
DOI
https://doi.org/10.1002/mp.70225
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantitative conductivity reconstruction network for brain hemorrhage detection in thermoacoustic imaging

Shuangli LIU, Xiangming Zhu, Jiayan Li, Guihua Liu et al.
Medical Physics
Photoacoustic and Ultrasonic Imaging
article

Quantitative conductivity reconstruction network for brain hemorrhage detection in thermoacoustic imaging

Shuangli LIU, Xiangming Zhu, Jiayan Li, Guihua Liu, Xin Shang
article en

Abstract

The above results validate the feasibility of QCR-Net for transcranial hemorrhage detection and highlight its potential as a reliable tool for quantitative thermoacoustic imaging in clinical applications. This work provides a foundation for further development of MITAI as a non-invasive, high-resolution imaging modality for brain hemorrhage diagnosis and grading.

Medical PhysicsVol. 53(1)
Southwest University of Science and Technology (CN)
Openalex Percentile: Top 93%
Photoacoustic and Ultrasonic Imaging
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