Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.
Maria Kuklisova-Murgasova,Gerardine Quaghebeur,Mary A. Rutherford,Joseph V. Hajnal,Julia A. Schnabel +4 more
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TLDR
This work proposes a new method for reconstruction of 3D fetal brain MRI from 2D slices that is interleaved with motion correction and shows excellent results for clinical and optimized data.About:
This article is published in Medical Image Analysis.The article was published on 2012-12-01 and is currently open access. It has received 326 citations till now. The article focuses on the topics: Real-time MRI & Reconstruction algorithm.read more
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Medical Image Computing and Computer-Assisted Intervention
Journal ArticleDOI
The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction
Antonios Makropoulos,Emma C. Robinson,Emma C. Robinson,Andreas Schuh,Robert Wright,Sean P. Fitzgibbon,Jelena Bozek,Serena J. Counsell,Johannes K. Steinweg,Katy Vecchiato,Jonathan Passerat-Palmbach,Gregor Lenz,Filippo Mortari,Tencho Tenev,Eugene P. Duff,Matteo Bastiani,Lucilio Cordero-Grande,Emer Hughes,Nora Tusor,Jacques-Donald Tournier,Jana Hutter,Anthony N. Price,Rui Pedro A. G. Teixeira,Maria Murgasova,Suresh Victor,Christopher Kelly,Mary A. Rutherford,Stephen M. Smith,A. David Edwards,Joseph V. Hajnal,Mark Jenkinson,Daniel Rueckert +31 more
TL;DR: A fully automated processing pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain is proposed, which has been specifically designed to address considerable differences between adult and neonatal brains, as imaged using MRI.
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A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth
Ali Gholipour,Caitlin K. Rollins,Clemente Velasco-Annis,Abdelhakim Ouaalam,Alireza Akhondi-Asl,Onur Afacan,Cynthia M. Ortinau,Sean Clancy,Catherine Limperopoulos,Edward Yang,Judy A. Estroff,Simon K. Warfield +11 more
TL;DR: An algorithm for construction of an unbiased four-dimensional atlas of the developing fetal brain is developed by integrating symmetric diffeomorphic deformable registration in space with kernel regression in age and is available online as a reference for anatomy and for registration and segmentation.
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Super-Resolution Imaging
TL;DR: This book serves as an introduction to the flourishing field of super-resolution imaging and is a compiled volume, with different authors for each of its 14 chapters.
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Multimodal surface matching with higher-order smoothness constraints
Emma C. Robinson,Kara Garcia,Matthew F. Glasser,Zhengdao Chen,Timothy S. Coalson,Antonios Makropoulos,Jelena Bozek,Robert Wright,Andreas Schuh,Matthew T. Webster,Jana Hutter,Anthony N. Price,Lucilio Cordero-Grande,Emer Hughes,Nora Tusor,Philip V. Bayly,David C. Van Essen,Stephen M. Smith,A. David Edwards,Joseph V. Hajnal,Mark Jenkinson,Ben Glocker,Daniel Rueckert +22 more
TL;DR: A new regularisation penalty, derived from physically relevant equations of strain (deformation) energy, is proposed and implemented and it is demonstrated that its use leads to improved and more robust alignment of multimodal imaging data.
References
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Medical image analysis: progress over two decades and the challenges ahead
James S. Duncan,Nicholas Ayache +1 more
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