Automated three-dimensional image registration for longitudinal photoacoustic imaging.

Journal Information

Full Title: J Biomed Opt

Abbreviation: J Biomed Opt

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Biomedical Engineering

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Evidence found in paper:

"the proposed framework is implemented in python and fully available together with data on github (available at https://github com/brunodesanti/muvinn-reg ) 2 2 1 2 1 1 the image registration problem can be defined as finding the optimal transformation ?; code and data availability all data and codes presented in this study are publicly available in the following github repository: https://github com/brunodesanti/muvinn-reg author contributions b de santi conceived and designed the study developed software interpreted data and authored the manuscript."

Evidence found in paper:

"the proposed framework is implemented in python and fully available together with data on github (available at https://github com/brunodesanti/muvinn-reg ) 2 2 1 2 1 1 the image registration problem can be defined as finding the optimal transformation ?; jelmer wolterink for his help during the development of the algorithm and for making his codes available at the following github: https://github com/miagrouput/idir bruno de santi phd earned his master's degree in biomedical engineering from the polytechnic university of turin turin italy.; code and data availability all data and codes presented in this study are publicly available in the following github repository: https://github com/brunodesanti/muvinn-reg author contributions b de santi conceived and designed the study developed software interpreted data and authored the manuscript."

Evidence found in paper:

"Disclosures: Authors have no relevant financial interests and no potential conflicts of interest to disclose."

Evidence found in paper:

"This work was supported by the REACT-EU project “Foto-akoestische mammografie naar de kliniek met de PAM3+.” Partial funding was also received from the 4TU Precision Medicine program (4tu.nl/precision-medicine) and the Pioneers in Healthcare Innovation (PIHC) fund 2020 for project “Photoacoustic breast tomography: Towards monitoring of neoadjuvant chemotherapy response.” Authors are grateful to Dr. Jelmer Wolterink for his help during the development of the algorithm and for making his codes available at the following GitHub: https://github.com/MIAGroupUT/IDIR"

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025