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Diffusion magnetic resonance imaging (dMRI) provides critical insights into the microstructural and connectional organization of the human brain. However, the availability of high-field, open-access datasets that include raw k-space data…

The accurate assessment of White matter hyperintensities (WMH) burden is of crucial importance for epidemiological studies to determine association between WMHs, cognitive and clinical data. The manual delineation of WMHs is tedious, costly…

组织与器官 · 定量生物学 2018-01-03 R. Guerrero , C. Qin , O. Oktay , C. Bowles , L. Chen , R. Joules , R. Wolz , M. C. Valdes-Hernandez , D. A. Dickie , J. Wardlaw , D. Rueckert

Preterm infants (born between 28 and 37 weeks of gestation) face elevated risks of neurodevelopmental delays, making early identification crucial for timely intervention. While deep learning-based volumetric segmentation of brain MRI scans…

计算机视觉与模式识别 · 计算机科学 2026-01-21 Lexin Ren , Jiamiao Lu , Weichuan Zhang , Benqing Wu , Tuo Wang , Yi Liao , Jiapan Guo , Changming Sun , Liang Guo

Diffusion-weighted magnetic resonance imaging (dMRI) allows non-invasive investigation of whole-brain connectivity, which can potentially help to reveal the brain's global network architecture and abnormalities involved in neurological and…

Diffusion kurtosis imaging is an extension of diffusion tensor imaging that provides scientifically and clinically valuable information about brain tissue microstructure but suffers from poor robustness to noise, especially in voxels…

Purpose: Multiple sclerosis (MS) diagnosis requires accurate assessment of white matter hyperintensities (WMH) and ventricular changes on brain MRI. Current methods treat these structures independently, struggle to differentiate normal from…

图像与视频处理 · 电气工程与系统科学 2026-02-20 Mahdi Bashiri Bawil , Mousa Shamsi , Abolhassan Shakeri Bavil

Diffusion magnetic resonance imaging, a non-invasive tool to infer white matter fiber connections, produces a large number of streamlines containing a wealth of information on structural connectivity. The size of these tractography outputs…

计算机视觉与模式识别 · 计算机科学 2018-04-17 Kuldeep Kumar , Kaleem Siddiqi , Christian Desrosiers

Medical brain image analysis is a necessary step in Computer Assisted /Aided Diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various diseases.…

图像与视频处理 · 电气工程与系统科学 2021-01-15 Darwin Castillo , Vasudevan Lakshminarayanan , Maria J. Rodriguez-Alvarez

In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that can handle multi-contrast data and robustly analyze images…

计算机视觉与模式识别 · 计算机科学 2023-02-13 Stefano Cerri , Douglas N. Greve , Andrew Hoopes , Henrik Lundell , Hartwig R. Siebner , Mark Mühlau , Koen Van Leemput

White matter tractography is an advanced neuroimaging technique that reconstructs the 3D white matter pathways of the brain from diffusion MRI data. It can be framed as a pathfinding problem aiming to infer neural fiber trajectories from…

计算机视觉与模式识别 · 计算机科学 2025-09-23 Itzik Waizman , Yakov Gusakov , Itay Benou , Tammy Riklin Raviv

Objective: Motor Imagery (MI) serves as a crucial experimental paradigm within the realm of Brain Computer Interfaces (BCIs), aiming to decoding motor intentions from electroencephalogram (EEG) signals. Method: Drawing inspiration from…

定量方法 · 定量生物学 2023-10-31 Xiong Xiong , Li Su , Jinguo Huang , Guixia Kang

White Matter Hyperintensities (WMH) are key neuroradiological markers of small vessel disease present in brain MRI. Assessment of WMH is important in research and clinics. However, WMH are challenging to segment due to their high…

Diffusion-weighted magnetic resonance imaging (DW-MRI) is used to characterize brain tissue microstructure employing tissue-specific biophysical models. A current limitation, however, is that most of the proposed models are based on the…

Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis. Recent dMRI studies aim to compare connectivity patterns across subject groups and disease populations to…

7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC maps. However, 7T magnetic resonance imaging (MRI)…

Diffusion magnetic resonance imaging (MRI) has revealed important insights into white matter microstructure, but its application to gray matter remains comparatively less explored. Here, we investigate whether global patterns of gray-matter…

定量方法 · 定量生物学 2026-04-13 Lucas Z. Brito , Ryan P. Cabeen , David H. Laidlaw

Angiogenesis is a key phenomenon for tumour progression, diagnosis and treatment in brain tumours and more generally in oncology. Presently, its precise, direct quantitative assessment can only be done on whole tissue sections immunostained…

组织与器官 · 定量生物学 2017-09-08 Christophe Deroulers , Volodia Dangouloff-Ros , Mathilde Badoual , Pascale Varlet , Nathalie Boddaert

Mild traumatic brain injury (mTBI) is a prevalent condition that remains difficult to diagnose in its early stages. Oculomotor dysfunction is a well-established marker of mTBI, motivating the development of portable tools that capture both…

信号处理 · 电气工程与系统科学 2026-05-15 Shantanu Sarkar , Sai Shashank Gandavarapu , Jeff Feng , Saurabh Prasad , Reza Khanbabaie , Jose L. Contreras-Vidal

Large bundles of myelinated axons, called white matter, anatomically connect disparate brain regions together and compose the structural core of the human connectome. We recently proposed a method of measuring the local integrity along the…

We present a microstructure imaging technique for estimating compartment-specific T2 and T2* simultaneously in the human brain. Microstructure imaging with diffusion MRI (dMRI) has enabled the modelling of intra-neurite and extra-neurite…

医学物理 · 物理学 2024-08-21 Ting Gong , Merlin J. Fair , Kawin Setsompop , Hui Zhang