中文
相关论文

相关论文: Learning Spatially-Continuous Fiber Orientation Fu…

200 篇论文

Diffusion-weighted magnetic resonance imaging (D-MRI) is an in-vivo and non-invasive imaging technology to probe anatomical architectures of biological samples. The anatomy of white matter fiber tracts in the brain can be revealed to help…

应用统计 · 统计学 2023-05-18 Jilei Yang , Seungyong Hwang , Jie Peng

In Diffusion Tensor Imaging (DTI) or High Angular Resolution Diffusion Imaging (HARDI), a tensor field or a spherical function field (e.g., an orientation distribution function field), can be estimated from measured diffusion weighted…

计算机视觉与模式识别 · 计算机科学 2017-10-17 Jian Cheng , Peter J. Basser

Understanding the complex myocardial architecture is critical for diagnosing and treating heart disease. However, existing methods often struggle to accurately capture this intricate structure from Diffusion Tensor Imaging (DTI) data,…

图像与视频处理 · 电气工程与系统科学 2025-05-14 Mohini Anand , Xavier Tricoche

Diffusion magnetic resonance imaging (dMRI) is a crucial non-invasive technique for exploring the microstructure of the living human brain. Traditional hand-crafted and model-based tissue microstructure reconstruction methods often require…

图像与视频处理 · 电气工程与系统科学 2025-02-26 Xinrui Ma , Jian Cheng , Wenxin Fan , Ruoyou Wu , Yongquan Ye , Shanshan Wang

Diffusion Tensor Imaging (DTI) allows estimating the position, orientation and dimension of bundles of nerve pathways. This non-invasive imaging technique takes advantage of the diffusion of water molecules and determines the diffusion…

计算机视觉与模式识别 · 计算机科学 2011-03-09 Miriam H. A. Bauer , Jan Egger , Daniela Kuhnt , Sebastiano Barbieri , Jan Klein , Horst K. Hahn , Bernd Freisleben , Christopher Nimsky

Diffusion MRI tractography is an advanced imaging technique for quantitative mapping of the brain's structural connectivity. Whole brain tractography (WBT) data contains over hundreds of thousands of individual fiber streamlines (estimated…

图像与视频处理 · 电气工程与系统科学 2022-07-12 Fan Zhang , Tengfei Xue , Weidong Cai , Yogesh Rathi , Carl-Fredrik Westin , Lauren J O'Donnell

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

In vivo cardiac diffusion tensor imaging (cDTI) is a promising Magnetic Resonance Imaging (MRI) technique for evaluating the micro-structure of myocardial tissue in the living heart, providing insights into cardiac function and enabling the…

The parcellation of Cranial Nerves (CNs) serves as a crucial quantitative methodology for evaluating the morphological characteristics and anatomical pathways of specific CNs. Multi-modal CNs parcellation networks have achieved promising…

图像与视频处理 · 电气工程与系统科学 2025-08-05 Lei Xie , Junxiong Huang , Yuanjing Feng , Qingrun Zeng

Diffusion magnetic resonance imaging is an imaging technology designed to probe anatomical architectures of biological samples in an in vivo and non-invasive manner through measuring water diffusion. The contribution of this paper is…

Super-resolution fluorescence microscopy, with a resolution beyond the diffraction limit of light, has become an indispensable tool to directly visualize biological structures in living cells at a nanometer-scale resolution. Despite…

计算机视觉与模式识别 · 计算机科学 2018-09-05 Yu Li , Fan Xu , Fa Zhang , Pingyong Xu , Mingshu Zhang , Ming Fan , Lihua Li , Xin Gao , Renmin Han

White matter structures composed of myelinated axons in the living human brain are primarily studied by diffusion-weighted MRI (dMRI). These long-range projections are typically characterized in a two-step process: dMRI is used to estimate…

Diffusion MRI (dMRI) is a critical non-invasive technique to estimate fiber orientation distribution (FOD) for characterizing white matter integrity. Estimating FOD from single-shell low angular resolution dMRI (LAR-FOD) is limited by…

计算机视觉与模式识别 · 计算机科学 2025-12-19 Hao Tang , Hanyu Liu , Alessandro Perelli , Xi Chen , Chao Li

Fibre orientation distribution (FOD) reconstruction using deep learning has the potential to produce accurate FODs from a reduced number of diffusion-weighted images (DWIs), decreasing total imaging time. Diffusion acquisition invariant…

计算机视觉与模式识别 · 计算机科学 2025-04-17 J Bartlett , C E Davey , L A Johnston , J Duan

Tapered optical fibers (TFs), with diameters gradually reduced from hundreds of microns to the micron scale, offer key advantages over conventional flat optical fibers (FFs), including uniform illumination, efficient long-range signal…

光学 · 物理学 2026-02-03 Mingliang Xu , Fangyuan Li , Yuxin Leng , Ruxin Li , Fei He

A tractogram is a virtual representation of the brain white matter. It is composed of millions of virtual fibers, encoded as 3D polylines, which approximate the white matter axonal pathways. To date, tractograms are the most accurate white…

计算机视觉与模式识别 · 计算机科学 2022-12-08 Pietro Astolfi , Ruben Verhagen , Laurent Petit , Emanuele Olivetti , Silvio Sarubbo , Jonathan Masci , Davide Boscaini , Paolo Avesani

Neurite Orientation Dispersion and Density Imaging (NODDI) is an important imaging technology used to evaluate the microstructure of brain tissue, which is of great significance for the discovery and treatment of various neurological…

计算机视觉与模式识别 · 计算机科学 2024-08-06 Taohui Xiao , Jian Cheng , Wenxin Fan , Jing Yang , Cheng Li , Enqing Dong , Shanshan Wang

Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive imaging technique for studying metabolism and has become a crucial tool for understanding neurological diseases, cancers and diabetes. High spatial resolution MRSI is needed…

Diffusion Magnetic Resonance Imaging (MRI) exploits the anisotropic diffusion of water molecules in the brain to enable the estimation of the brain's anatomical fiber tracts at a relatively high resolution. In particular, tractographic…

计算工程、金融与科学 · 计算机科学 2016-09-14 Yu Jin , Joseph F. JaJa , Rong Chen , Edward H. Herskovits

Deep learning based methods have recently pushed the state-of-the-art on the problem of Single Image Super-Resolution (SISR). In this work, we revisit the more traditional interpolation-based methods, that were popular before, now with the…

计算机视觉与模式识别 · 计算机科学 2017-12-19 Xu Jia , Hong Chang , Tinne Tuytelaars