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Related papers: In utero diffusion MRI: challenges, advances, and …

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Diffusion MRI is a neuroimaging technique measuring the anatomical structure of tissues. Using diffusion MRI to construct the connections of tissues, known as fiber tracking, is one of the most important uses of diffusion MRI. Many…

Methodology · Statistics 2019-06-18 Zhou Lan , Brian J Reich

Early infancy is a rapid and dynamic neurodevelopmental period for behavior and neurocognition. Longitudinal magnetic resonance imaging (MRI) is an effective tool to investigate such a crucial stage by capturing the developmental…

Image and Video Processing · Electrical Eng. & Systems 2024-02-22 Lianghu Guo , Tianli Tao , Xinyi Cai , Zihao Zhu , Jiawei Huang , Lixuan Zhu , Zhuoyang Gu , Haifeng Tang , Rui Zhou , Siyan Han , Yan Liang , Qing Yang , Dinggang Shen , Han Zhang

In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiological paradox (CRP). One of the hypotheses is that the…

Image and Video Processing · Electrical Eng. & Systems 2023-07-28 Haykel Snoussi , Emmanuel Caruyer , Benoit Combes , Olivier Commowick , Elise Bannier , Anne Kerbrat , Julien Cohen-Adad , Christian Barillot

The integration of positron emission tomography (PET) and magnetic resonance imaging (MRI) has been an ongoing research topic for the last 20 years. This paper gives an overview of the different developments and the technical problems…

Medical Physics · Physics 2015-10-19 Stefaan Vandenberghe , Paul Marsden

Understanding human fetal neurodevelopment is of great clinical importance as abnormal development is linked to adverse neuropsychiatric outcomes after birth. Recent advances in functional Magnetic Resonance Imaging (fMRI) have provided new…

Image and Video Processing · Electrical Eng. & Systems 2019-06-11 Xiangrui Li , Jasmine Hect , Moriah Thomason , Dongxiao Zhu

Fetal brain MRI is useful for diagnosing brain abnormalities but is challenged by fetal motion. The current protocol for T2-weighted fetal brain MRI is not robust to motion so image volumes are degraded by inter- and intra- slice motion…

Image and Video Processing · Electrical Eng. & Systems 2020-06-24 Junshen Xu , Sayeri Lala , Borjan Gagoski , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson

This article discusses the opportunities, applications and future directions of large-scale pre-trained models, i.e., foundation models, for analyzing medical images. Medical foundation models have immense potential in solving a wide range…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Shaoting Zhang , Dimitris Metaxas

Quantifying the myelin sheath radius of myelinated axons in vivo is important for understanding, diagnosing, and monitoring various neurological disorders. Despite advancements in diffusion MRI (dMRI) microstructure techniques, there are…

Segmentation of images holds an important position in the area of image processing. It becomes more important whi le typically dealing with medical images where presurgery and post surgery decisions are required for the purpose of…

Computer Vision and Pattern Recognition · Computer Science 2010-05-25 Mrigank Rajya , Sonal Rewri , Swati Sheoran

Functional MRI (fMRI) is crucial for studying brain function and diagnosing neurological disorders. However, existing analysis methods suffer from reproducibility and transferability challenges due to complex preprocessing pipelines and…

Accurate characterization of in utero human brain maturation is critical as it involves complex and interconnected structural and functional processes that may influence health later in life. Magnetic resonance imaging is a powerful tool to…

Pseudo-healthy image inpainting is an essential preprocessing step for analyzing pathological brain MRI scans. Most current inpainting methods favor slice-wise 2D models for their high in-plane fidelity, but their independence across slices…

Image and Video Processing · Electrical Eng. & Systems 2025-07-25 Dou Hoon Kwark , Shirui Luo , Xiyue Zhu , Yudu Li , Zhi-Pei Liang , Volodymyr Kindratenko

The development of automated tools for brain morphometric analysis in infants has lagged significantly behind analogous tools for adults. This gap reflects the greater challenges in this domain due to: 1) a smaller-scaled region of…

Image and Video Processing · Electrical Eng. & Systems 2020-05-21 Lilla Zöllei , Juan Eugenio Iglesias , Yangming Ou , P. Ellen Grant , Bruce Fischl

Magnetic resonance imaging (MRI), especially functional MRI (fMRI) and diffusion MRI (dMRI), is essential for studying neurodegenerative diseases. However, missing modalities pose a major barrier to their clinical use. Although GAN- and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Xiongri Shen , Jiaqi Wang , Yi Zhong , Zhenxi Song , Leilei Zhao , Yichen Wei , Lingyan Liang , Shuqiang Wang , Baiying Lei , Demao Deng , Zhiguo Zhang

Development of successful therapies for neurological disorders depends on our ability to diagnose and monitor the progression of underlying pathologies at the cellular level. Physics and physiology limit the resolution of human MRI to…

Biological Physics · Physics 2016-09-30 Jelle Veraart , Els Fieremans , Dmitry S. Novikov

Recently, diffusion models (DM) have been applied in magnetic resonance imaging (MRI) super-resolution (SR) reconstruction, exhibiting impressive performance, especially with regard to detailed reconstruction. However, the current DM-based…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Guangyuan Li , Chen Rao , Juncheng Mo , Zhanjie Zhang , Wei Xing , Lei Zhao

Diffusion probabilistic models have made their way into a number of high-profile applications since their inception. In particular, there has been a wave of research into using diffusion models in the prediction and design of biomolecular…

Biomolecules · Quantitative Biology 2024-06-05 Trevor Norton , Debswapna Bhattacharya

Ultrasound imaging is one of the most prominent technologies to evaluate the growth, progression, and overall health of a fetus during its gestation. However, the interpretation of the data obtained from such studies is best left to expert…

Image and Video Processing · Electrical Eng. & Systems 2023-06-08 Bharath Srinivas Prabakaran , Paul Hamelmann , Erik Ostrowski , Muhammad Shafique

The brain white matter consists of a set of tracts that connect distinct regions of the brain. Segmentation of these tracts is often needed for clinical and research studies. Diffusion-weighted MRI offers unique contrast to delineate these…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Hamza Kebiri , Ali Gholipour , Meritxell Bach Cuadra , Davood Karimi

Brain-mapping techniques have proven to be vital in understanding the molecular, cellular, and functional mechanisms of the brain. Normal anatomical imaging can provide structural information on certain abnormalities in the brain. However…

Emerging Technologies · Computer Science 2013-01-03 Nivedita Daimiwal , M. Sundhararajan , Revati Shriram
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