Peer-Reviewed Publication
Med Image Anal2026;114104217.November 1, 2026Journal Article

Data-driven registration and modeling of brain deformation for image-guided neurosurgery.

Tiago Assis1, Colin P Galvin2, Joshua P Castillo3, Nazim Haouchine2, Marta Kersten-Oertel3, Zeyu Gao4, Mireia Crispin-Ortuzar4, Stephen J Price5, Thomas Santarius5, Yangming Ou6, Sarah Frisken2, Nuno C Garcia7, Alexandra J Golby2, Reuben Dorent8, Ines P Machado9
1LASIGE, Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal. Electronic address: tassis@lasige.di.fc.ul.pt.
2Department of Neurosurgery and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
3Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC H3G 2W1, Canada.
4Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, CB2 0RE, UK; Department of Oncology, University of Cambridge, Cambridge, CB2 0AH, UK.
5Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
6Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
7LASIGE, Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal.
8Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013 Paris, France.
9Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, CB2 0RE, UK; Department of Oncology, University of Cambridge, Cambridge, CB2 0AH, UK. Electronic address: im549@cam.ac.uk.

Abstract

Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. Surgical manipulation and tumor resection induce tissue motion, causing preoperative planning images to become misaligned with the intraoperative anatomy. In this review, we examine data-driven methods developed between 2020 and 2025 for brain deformation registration and modeling, with a particular focu…

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