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
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"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."
"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."
"Disclosures: Authors have no relevant financial interests and no potential conflicts of interest to disclose."
"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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Last Updated: Aug 05, 2025