Real‐Time, Tissue‐Adaptive Photoacoustic Thermometry for Precision Endoscopic Thermal Therapy

ABSTRACT Atherosclerosis is a major cause of cardiovascular diseases, and photothermal ablation offers a minimally invasive alternative but is limited by unreliable thermal monitoring. Conventional probes such as thermocouples and fiber‐optic sensors are direct lesion‐contact probes, providing only point or surface measurements with slow response and failing to capture spatial distributions. Meanwhile, current photoacoustic (PA) thermometry relies on bulky arrays and possesses inadequate resolution for small lesions, which is incompatible with catheter applications. Here, this work achieves real‐time intravascular temperature monitoring through photoacoustic endoscopic thermometry with spatially adaptive weighting (PAET‐SAW). Using a miniaturized single‐element transducer with rotational pullback scanning for 3D acquisition, our PAET system enables dual‐modality imaging with real‐time feedback. Phantom and ex vivo validations demonstrate reliable thermometry at 20 Hz with ≤ 0.68°C error and a ∼2 s faster response than thermocouples. Simulated therapeutic experiments further confirm that PAET‐SAW‐guided monitoring reduces excessive thermal dose and suppresses overshoot, underscoring strong clinical potential for precision intravascular interventions.

Authors

Institutions

Publication Details

Journal
Laser & Photonics Review
Published
2025-11-30
DOI
https://doi.org/10.1002/lpor.202502499
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real‐Time, Tissue‐Adaptive Photoacoustic Thermometry for Precision Endoscopic Thermal Therapy

X. G. Gong, Qingrong Xia, Haokun Zhang, Puxiang Lai et al.
Laser & Photonics Review
Photoacoustic and Ultrasonic Imaging
article

Real‐Time, Tissue‐Adaptive Photoacoustic Thermometry for Precision Endoscopic Thermal Therapy

X. G. Gong, Qingrong Xia, Haokun Zhang, Puxiang Lai, Dongjian Wu, Yi Shen, Kaicheng Yu, Mingjian Sun, Yiming Ma, Riqiang Lin
article en

Abstract

ABSTRACT Atherosclerosis is a major cause of cardiovascular diseases, and photothermal ablation offers a minimally invasive alternative but is limited by unreliable thermal monitoring. Conventional probes such as thermocouples and fiber‐optic sensors are direct lesion‐contact probes, providing only point or surface measurements with slow response and failing to capture spatial distributions. Meanwhile, current photoacoustic (PA) thermometry relies on bulky arrays and possesses inadequate resolution for small lesions, which is incompatible with catheter applications. Here, this work achieves real‐time intravascular temperature monitoring through photoacoustic endoscopic thermometry with spatially adaptive weighting (PAET‐SAW). Using a miniaturized single‐element transducer with rotational pullback scanning for 3D acquisition, our PAET system enables dual‐modality imaging with real‐time feedback. Phantom and ex vivo validations demonstrate reliable thermometry at 20 Hz with ≤ 0.68°C error and a ∼2 s faster response than thermocouples. Simulated therapeutic experiments further confirm that PAET‐SAW‐guided monitoring reduces excessive thermal dose and suppresses overshoot, underscoring strong clinical potential for precision intravascular interventions.

Laser & Photonics Review
Hong Kong Polytechnic University (HK), Shenzhen Polytechnic University (CN), Suzhou Vocational Institute of Industrial Technology (CN), Suzhou Research Institute (CN), Shenzhen Institutes of Advanced Technology (CN), Weihai Science and Technology Bureau (CN), Heilongjiang Institute of Technology (CN)
Openalex Percentile: Top 63%
Photoacoustic and Ultrasonic Imaging
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.