Evidence map›Paper›PMID 40265126›Full record

ArticlePerinatal, preterm and paediatric image analysis : 9th international workshop, PIPPI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings2025

Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction.

Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour

Abstract read
In one paragraph

Article in Perinatal, preterm and paediatric image analysis : 9th international workshop, PIPPI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Haykel SnoussiDepartment of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Davood KarimiDepartment of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Onur AfacanDepartment of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Mustafa UtkurDepartment of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Ali GholipourDepartment of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, MA 02115, USA.

Funding

The Opioid in Pregnancy: Imaging of Oxygenation, Inflammation, and Development in Brain & Placenta Project (OPIOID BPP)R01HD113199 · NICHD · WASHINGTON UNIVERSITY · PI Jeannie Chen Kelly, Yong Wang · 2023 to 2026
$3.1M
Next-generation in-vivo fetal neuroimagingR01EB031849 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GHOLIPOUR-BABOLI, ALI · 2021 to 2024
$2.2M
Imaging early development of human neural circuitsR01HD109395 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI ALI GHOLIPOUR-BABOLI · 2022 to 2026
$2.1M
Enhanced Imaging of the Fetal Brain MicrostructureR01EB032366 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GHOLIPOUR-BABOLI, ALI · 2022 to 2025
$2.0M
Acquisition of a Siemens 3T MRI for Research ImagingS10OD025111 · OD · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2018 to 2018
$2.0M
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine LearningR01NS128281 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI Davood Karimi · 2023 to 2026
$1.8M
Advancing Microstructural and Vascular Neuroimaging in Perinatal StrokeR01NS106030 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2019 to 2023
$1.7M
Motion and Distortion Robust Diffusion Weighted Imaging Sequences for Pediatric PatientsR01NS121657 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI Onur Afacan · 2022 to 2026
$1.7M
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structureR01HD110772 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Davood Karimi · 2023 to 2026
$1.5M
NIBIB NIH HHS R01 EB031849NIBIB NIH HHS R01 EB032366NICHD NIH HHS R01 HD109395NICHD NIH HHS R01 HD110772NICHD NIH HHS R01 HD113199NIH HHS S10 OD025111NINDS NIH HHS R01 NS106030NINDS NIH HHS R01 NS121657NINDS NIH HHS R01 NS128281
6 · The paper itself

Abstract

Diffusion magnetic resonance imaging (dMRI) is essential for studying the microstructure of the developing fetal brain. However, fetal motion during scans and its interaction with magnetic field inhomo-geneities lead to amplified artifacts and data scattering, compromising the consistency of dMRI analysis. This work introduces HAITCH, a novel open-source framework for correcting and reconstructing high-angular resolution dMRI data from challenging fetal scans. Our multi-stage approach incorporates an optimized multi-shell design for increased information capture and motion tolerance, a blip-reversed dual-echo multi-shell acquisition for dynamic distortion correction, advanced motion correction for robust and model-free reconstruction, and outlier detection for improved reconstruction fidelity. Validation experiments on real fetal dMRI scans demonstrate significant improvements and accurate correction across diverse fetal ages and motion levels. HAITCH effectively removes artifacts and reconstructs high-fidelity dMRI data suitable for advanced diffusion modeling and tractography.

Indexed as

Diffusion MRIDynamic Distortion CorrectionFetal ImagingMotion Correction

Identifiers

PMID40265126
PMCPMC12013523

What OpenQuestion holds

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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.