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Fetal brain extraction is a necessary first step in most computational fetal brain MRI pipelines. However, it has been a very challenging task due to non-standard fetal head pose, fetal movements during examination, and vastly heterogeneous…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Razieh Faghihpirayesh , Davood Karimi , Deniz Erdoğmuş , Ali Gholipour

Ultra-low-field (ULF) MRI is emerging as an alternative modality to high-field (HF) MRI due to its lower cost, minimal siting requirements, portability, and enhanced accessibility factors that enable large-scale deployment. Although ULF-MRI…

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for anomaly screening. For this ultrasound (US) is employed. While expert sonographers are adept at reading US images, MR…

Computer Vision and Pattern Recognition · Computer Science 2019-09-19 Jianbo Jiao , Ana I. L. Namburete , Aris T. Papageorghiou , J. Alison Noble

Ultrasound imaging is widely used in medical diagnosis, especially for fetal health assessment. However, the availability of high-quality annotated ultrasound images is limited, which restricts the training of machine learning models. In…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Yueying Tian , Elif Ucurum , Xudong Han , Rupert Young , Chris Chatwin , Philip Birch

Fetal growth restriction (FGR) is a prevalent pregnancy condition characterised by failure of the fetus to reach its genetically predetermined growth potential. We explore the application of model fitting techniques, linear regression…

Diffusion-weighted MRI is the forerunner of the rapidly developed microstructural MRI aimed at in vivo evaluation of the cellular tissue architecture. This brief review focuses on the spatiotemporal scales of the microstructure that are…

Medical Physics · Physics 2020-08-14 Valerij G. Kiselev

In the human brain, white matter development is a complex and long-lasting process involving intermingling micro-and macrostructural mechanisms, such as fiber growth, pruning and myelination. Did you know that all these neurodevelopmental…

Neurons and Cognition · Quantitative Biology 2025-04-30 Jessica Dubois , Mareike Grotheer , Joseph Yuan-Mou Yang , Jacques-Donald Tournier , Christian Beaulieu , Catherine Lebel

Discovering a new field is not usually an easy process, especially when you choose magnetic resonance imaging (MRI). MRI is one of the few non-invasive medical procedures, if not the only one, that someone can receive in modern day…

Medical Physics · Physics 2019-08-20 Alexis Reymbaut , Maxime Descoteaux

The fetal cortical plate undergoes drastic morphological changes throughout early in utero development that can be observed using magnetic resonance (MR) imaging. An accurate MR image segmentation, and more importantly a topologically…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Priscille de Dumast , Hamza Kebiri , Chirine Atat , Vincent Dunet , Mériam Koob , Meritxell Bach Cuadra

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) is employed. Although expert sonographers are adept at…

Image and Video Processing · Electrical Eng. & Systems 2020-08-21 Jianbo Jiao , Ana I. L. Namburete , Aris T. Papageorghiou , J. Alison Noble

Functional magnetic resonance imaging (fMRI) is an emerging neuroimaging modality that is commonly modeled as networks of Regions of Interest (ROIs) and their connections, named functional connectivity, for understanding the brain functions…

Neurons and Cognition · Quantitative Biology 2024-10-01 Haokai Zhao , Haowei Lou , Lina Yao , Yu Zhang

Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, large, and irregular fetal movements. It is, therefore, performed through visual monitoring of fetal motion and repeated acquisitions to ensure diagnostic-quality…

Image and Video Processing · Electrical Eng. & Systems 2020-06-09 Ayush Singh , Seyed Sadegh Mohseni Salehi , Ali Gholipour

Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences between patients with mTBI and healthy controls with respect to…

Image and Video Processing · Electrical Eng. & Systems 2019-11-12 Tongda Xu , Xiyan Cai , Yao Wang , Xiuyuan Wang , Sohae Chung , Els Fieremans , Joseph Rath , Steven Flanagan , Yvonne W Lui

Characterizing in-utero brain development is essential for understanding typical and atypical neurodevelopment. Building on prior spatiotemporal fetal brain MRI atlases, we present the CRL-2025 fetal brain atlas, a spatiotemporal (4D) atlas…

A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the white matter microstructure. However, a head-to-head…

Ultrasonography is an essential tool in mid-pregnancy for assessing fetal development, appreciated for its non-invasive and real-time imaging capabilities. Yet, the interpretation of ultrasound images is often complicated by acoustic…

Image and Video Processing · Electrical Eng. & Systems 2024-07-23 Hanna Mykula , Lisa Gasser , Silvia Lobmaier , Julia A. Schnabel , Veronika Zimmer , Cosmin I. Bercea

Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI analysis by introducing biometry prediction as a new task…

Diffusion MRI (dMRI) provides unique insights into fetal brain microstructure in utero. Longitudinal and cross-sectional fetal dMRI studies can reveal crucial neurodevelopmental changes but require precise spatial alignment across scans and…

Image and Video Processing · Electrical Eng. & Systems 2025-05-13 Bo Li , Qi Zeng , Simon K. Warfield , Davood Karimi

Computational neuroimaging involves analyzing brain images or signals to provide mechanistic insights and predictive tools for human cognition and behavior. While diffusion models have shown stability and high-quality generation in natural…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Haokai Zhao , Haowei Lou , Lina Yao , Wei Peng , Ehsan Adeli , Kilian M Pohl , Yu Zhang

The automatic segmentation of perinatal brain structures in magnetic resonance imaging (MRI) is of utmost importance for the study of brain growth and related complications. While different methods exist for adult and pediatric MRI data,…