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相关论文: Streamline tractography of the fetal brain in uter…

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Diffusion-weighted Magnetic Resonance Imaging (dMRI) is increasingly used to study the fetal brain in utero. An important computation enabled by dMRI is streamline tractography, which has unique applications such as tract-specific analysis…

计算机视觉与模式识别 · 计算机科学 2024-03-06 Camilo Calixto , Camilo Jaimes , Matheus D. Soldatelli , Simon K. Warfield , Ali Gholipour , Davood Karimi

Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathways in the brain. It plays a crucial role in neuroscience and clinical fields by facilitating the study of brain connectivity and neurological…

计算机视觉与模式识别 · 计算机科学 2025-03-06 Yiqiong Yang , Yitian Yuan , Baoxing Ren , Ye Wu , Yanqiu Feng , Xinyuan Zhang

Diffusion-weighted MRI is increasingly used to study the normal and abnormal development of fetal brain in-utero. Recent studies have shown that dMRI can offer invaluable insights into the neurodevelopmental processes in the fetal stage.…

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the brain's white matter connections at macro scale. Over the last two decades, the study of brain connectivity using…

Tractography is the process of inferring the trajectories of white-matter pathways in the brain from diffusion magnetic resonance imaging (dMRI). Local tractography methods, which construct streamlines by following local fiber orientation…

计算机视觉与模式识别 · 计算机科学 2025-11-18 Alec Sargood , Lemuel Puglisi , Elinor Thompson , Mirco Musolesi , Daniel C. Alexander

Deep learning approaches for diffusion MRI have so far focused primarily on voxel-based segmentation of lesions or white-matter fiber tracts. A drawback of representing tracts as volumetric labels, rather than sets of streamlines, is that…

图像与视频处理 · 电气工程与系统科学 2020-09-10 Christian Ewert , David Kügler , Anastasia Yendiki , Martin Reuter

Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber tractography takes advantage of diffusion Magnetic Resonance…

图像与视频处理 · 电气工程与系统科学 2020-09-08 Tomer Weiss , Sanketh Vedula , Ortal Senouf , Oleg Michailovich , AlexBronstein

Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure. However, recent advances in…

图像与视频处理 · 电气工程与系统科学 2024-03-29 Tian Yu , Yunhe Li , Michael E. Kim , Chenyu Gao , Qi Yang , Leon Y. Cai , Susane M. Resnick , Lori L. Beason-Held , Daniel C. Moyer , Kurt G. Schilling , Bennett A. Landman

\hspace{2mm} Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of…

图像与视频处理 · 电气工程与系统科学 2025-12-30 Davood Karimi , Simon K. Warfield

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

The individual course of white matter fiber tracts is an important key for analysis of white matter characteristics in healthy and diseased brains. Uniquely, diffusion-weighted MRI tractography in combination with region-based or…

计算机视觉与模式识别 · 计算机科学 2018-08-21 Jakob Wasserthal , Peter Neher , Klaus H. Maier-Hein

Diffusion tensor imaging (DTI) is a widely used method for studying brain white matter development and degeneration. However, standard DTI estimation methods depend on a large number of high-quality measurements. This would require long…

图像与视频处理 · 电气工程与系统科学 2022-11-16 Davood Karimi , Ali Gholipour

Tractography algorithms are used extensively to delineate white matter structures, by operating on the voxel-wise information generated through the application of diffusion tensor imaging (DTI) or other models to diffusion weighted (DW)…

定量方法 · 定量生物学 2024-03-05 Richard G. Carson , Alexander Leemans

There is a growing interest in using diffusion MRI to study the white matter tracts and structural connectivity of the fetal brain. Recent progress in data acquisition and processing suggests that this imaging modality has a unique role in…

神经元与认知 · 定量生物学 2024-08-09 Camilo Calixto , Matheus D. Soldatelli , Bo Li , Lana Pierotich , Ali Gholipour , Simon K. Warfield , Davood Karimi

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…

图像与视频处理 · 电气工程与系统科学 2023-07-06 Hamza Kebiri , Ali Gholipour , Meritxell Bach Cuadra , Davood Karimi

Diffusion MRI (dMRI) provides a distinctive means to probe the microstructural architecture of living tissue, facilitating applications such as brain connectivity analysis, modeling across multiple conditions, and the estimation of…

图像与视频处理 · 电气工程与系统科学 2025-11-20 Jongyeon Yoon , Elyssa M. McMaster , Michael E. Kim , Gaurav Rudravaram , Kurt G. Schilling , Bennett A. Landman , Daniel Moyer

Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions of streamlines that do not accurately describe the underlying anatomy; extracting streamlines that are not supported by…

图像与视频处理 · 电气工程与系统科学 2021-08-03 Jon Haitz Legarreta , Laurent Petit , François Rheault , Guillaume Theaud , Carl Lemaire , Maxime Descoteaux , Pierre-Marc Jodoin

Diffusion magnetic resonance imaging (dMRI) data allow to reconstruct the 3D pathways of axons within the white matter of the brain as a tractography. The analysis of tractographies has drawn attention from the machine learning and pattern…

机器学习 · 统计学 2015-04-03 Emanuele Olivetti , Thien Bao Nguyen , Paolo Avesani

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…

Fiber tracking based on diffusion weighted Magnetic Resonance Imaging (dMRI) allows for noninvasive reconstruction of fiber bundles in the human brain. In this chapter, we discuss sources of error and uncertainty in this technique, and…

计算机视觉与模式识别 · 计算机科学 2013-07-15 Thomas Schultz , Anna Vilanova , Ralph Brecheisen , Gordon Kindlmann
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