Evidence map›Paper›PMID 40630833›Full record

ArticleProceedings. IEEE International Symposium on Biomedical Imaging2025

LEARNING ACCURATE RIGID REGISTRATION FOR LONGITUDINAL BRAIN MRI FROM SYNTHETIC DATA.

Jingru Fu, Adrian V Dalca, Bruce Fischl, Rodrigo Moreno, Malte Hoffmann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Deep infant brain segmentation from multi-contrast MRI.Conference record. Asilomar Conference on Signals, Systems & Computers · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jingru FuDivision of Biomedical Imaging, KTH Royal Institute of Technology, Huddinge, Sweden.
Adrian V DalcaAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, USA.
Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, USA.
Rodrigo MorenoDivision of Biomedical Imaging, KTH Royal Institute of Technology, Huddinge, Sweden.
Malte HoffmannAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, USA.

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
BRAIN CONNECTS: The center for Large-scale Imaging of Neural Circuits (LINC)UM1NS132358 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Suzanne N Haber, Elizabeth M. C. Hillman · 2023 to 2026
$17.5M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BRUCE R ROSEN · 2020 to 2026
$10.9M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6M
An Acquisition and Analysis Pipeline for Integrating MRI and Neuropathology in TBI-related Dementia and VCIDU24NS135561 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Susie Yi Huang · 2023 to 2026
$6.1M
FreeSurfer Development, Maintenance, and HardeningR01EB023281 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Douglas Nowlin Greve · 2016 to 2026
$5.6M
A Longitudinal Analysis Stream for FreeSurferR01NS083534 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl · 2014 to 2026
$4.6M
BRAIN CONNECTS: Mapping Connectivity of the Human Brainstem in a Nuclear Coordinate SystemU01NS132181 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, HOF, PATRICK R · 2023 to 2025
$4.2M
Brainstem Arousal Network in Human Consciousness: Healthy development vs SIDSR01HD102616 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI Lilla Zollei · 2021 to 2026
$3.5M
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG064027NIA NIH HHS R01 AG070988NIA NIH HHS R21 AG082082NIA NIH HHS R56 AG064027NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB019956NIBIB NIH HHS R01 EB023281NIBIB NIH HHS R01 EB033773NIBIB NIH HHS R21 EB018907NICHD NIH HHS R00 HD101553NICHD NIH HHS R01 HD085813NICHD NIH HHS R01 HD093578NICHD NIH HHS R01 HD102616NICHD NIH HHS R01 HD109436NICHD NIH HHS R21 HD106038NIMH NIH HHS RF1 MH121885NIMH NIH HHS RF1 MH123195NIMH NIH HHS U01 MH093765NIMH NIH HHS U01 MH117023NIMH NIH HHS UM1 MH130981NINDS NIH HHS R01 NS070963NINDS NIH HHS R01 NS083534NINDS NIH HHS R01 NS105820NINDS NIH HHS U01 NS132181NINDS NIH HHS U24 NS135561NINDS NIH HHS UM1 NS132358
6 · The paper itself

Abstract

Rigid registration aims to determine the translations and rotations necessary to align features in a pair of images. While recent machine learning methods have become state-of-the-art for linear and deformable registration across subjects, they have demonstrated limitations when applied to longitudinal (within-subject) registration, where achieving precise alignment is critical. Building on an existing framework for anatomy-aware, acquisition-agnostic affine registration, we propose a model optimized for longitudinal, rigid brain registration. By training the model with synthetic within-subject pairs augmented with rigid and subtle nonlinear transforms, the model estimates more accurate rigid transforms than previous cross-subject networks and performs robustly on longitudinal registration pairs within and across magnetic resonance imaging (MRI) contrasts.

Indexed as

deep learninglongitudinal analysisneuroimagingrigid image registration

Identifiers

PMID40630833
PMCPMC12237398

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.