Abstract
HierarchicalPhase-ContrastTomography(HiP-CT)isasynchrotron based X-ray imaging technique that enables non-destructive, volumetric imaging of intact organs with multi-resolutions bridging 20 µm/voxel for whole organs to near-cellular resolution (∼0.8 µm/voxel) in local regions. This offers the opportunity to bring volumetric wholeorgancontexttohistology.However,nonlinearregistrationbetweenH&E histology and HiP-CT volumes is challenging due to differences in feature representations across colour spaces. Synthesis-before-registration methods have shown strong results in histology-to-MRI and histologyto-CT alignment. However, existing approaches either rely on manual * Equal contribution Corresponding author: c.walsh.11@ucl.ac.uk 2 Y. Zhou et al. anatomical contours or are trained from scratch without semantic constraints, limiting their generalisability to soft tissue organs and novel modalities. We propose LoRCA (LoRA Cycle Adaptation), a cycle consistent style translation framework built on a shared frozen DINOv3 with modality-specific LoRA adapters, learning modality-specific representations that are decoded and adversarially trained. LoRCA enables structure-preserving translation without requiring paired training data. Thefrozenbackboneisintendedtobeastructuralanchorthatprevents contentdriftbypreservingpretrainedsemantic-extractioncapability.We evaluatetranslationqualityusingFréchetInceptionDistance(FID)and structural fidelity via mutual information and Canny edge preservation. LoRCA outperforms CycleGAN in both translation quality and structuralconsistency.Asapreliminaryindicatorofdownstreamregistration utility,wefindthatstyle-translatedimagesyieldincreasedfeaturecorrespondencesunderMatchAnythingonmanuallyalignedHiP-CTandhistologytestpairs,suggestingthatLoRCA-styletranslationisapromising steptowards2Dhistologicalsectionsto3DHiP-CTvolumesregistration.
Links to Paper and Supplementary Materials
Main Paper (Open Access Version): https://papers.miccai.org/miccai-2026-sat/paper/SASHIMI_042.pdf
SharedIt Link: Not yet available
SpringerLink (DOI): Not yet available
Supplementary Material: Not Submitted
Link to Open Review
Open Review Page: https://openreview.net/forum?id=tG55Wqsto4
BibTex
@InProceedings{ZhoYan_LoRCA_MICCAISAT2026,
author = { Zhou, Yang AND Occhipinti, Edoardo AND Elvis, Banboye Kidzeru AND Chen, Jishizhan AND Megas, Stathis AND Brunet, Joseph AND Purzycka, Joanna AND Urban, Theresa AND Dejea, Hector AND Teichmann, Sarah Amalia AND Clatworthy, Menna R. AND Tafforeau, Paul AND Lee, Peter D. AND Walsh, Claire L.},
title = { { LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3 } },
booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026 Workshops and Challenges},
year = {2026},
publisher = {Springer Nature Switzerland},
volume = {LNCS 17258},
month = {pending},
page = {pending}
}