Abstract
Image synthesis is promising in medicine as it can improve accuracy, increase efficiency, and decrease costs. Image synthesis can be used to improve surgical guidance during surgery as it is able to combine the strengths of intraoperative ultrasound, MRI and other modalities. However, due to a lack of standardized multidimensional evaluation protocols, adoption of image synthesis in surgery is limited. This paper classifies existing evaluation methods and proposes a structured approach to progressively assess the quality of medical image synthesis.
Links to Paper and Supplementary Materials
Main Paper (Open Access Version): https://papers.miccai.org/miccai-2026-sat/paper/CREATE_010.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=p8VbPfH1Gh
BibTex
@InProceedings{SerEle_Hierarchical_MICCAISAT2026,
author = { Serkova, Elena},
title = { { Hierarchical Quality Assessment of Medical Image Synthesis for Clinical Translation } },
booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026 Workshops and Challenges},
year = {2026},
publisher = {Springer Nature Switzerland},
volume = {LNCS 17275},
month = {pending},
page = {pending}
}