VITAL: Value-Invariant Transformation and Alignment Learning for quantitative photoacoustic microscopy.

Shuocheng Qi, Mingxuan Wang, Yachao Zhang, Lidai Wang, Chao Liu

Abstract read

In one paragraph

Article in Photoacoustics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Shuocheng QiDigital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China.

Mingxuan WangSchool of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China.

Yachao ZhangThe Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.

Lidai WangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region of China.

Chao LiuDigital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast optical-resolution photoacoustic microscopy (OR-PAM) enables dynamic microvascular imaging but suffers from spatial misalignment and biased functional quantification that are inadequately solved by conventional registration methods. We propose VITAL (Value-Invariant Transformation and Alignment Learning), a cascaded PA signal amplitude-preserving (PSAP) registration framework that separates geometric alignment from preservation of discrete PA signal-amplitude distributions. VITAL combines interpretable keypoint-based global alignment using SuperPoint, LightGlue, and thin-plate spline transformation with topology-preserving dense refinement for sub-pixel accuracy. To reduce interpolation-induced signal distortion, nearest-neighbor warping is adopted to avoid interpolation-generated PA signal amplitudes. Validated on

Indexed as

Blood oxygen saturationImage registrationKeypoint matchingNearest-neighbor warpingPhotoacoustic microscopyThin-plate spline

Identifiers

PMID42317285

DOI10.1016/j.pacs.2026.100845

PMCPMC13273772

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.