標(biāo)題: Titlebook: Computational Diffusion MRI and Brain Connectivity; MICCAI Workshops, Na Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria Pan Conference proc [打印本頁] 作者: KEN 時(shí)間: 2025-3-21 19:34
書目名稱Computational Diffusion MRI and Brain Connectivity影響因子(影響力)
書目名稱Computational Diffusion MRI and Brain Connectivity影響因子(影響力)學(xué)科排名
書目名稱Computational Diffusion MRI and Brain Connectivity網(wǎng)絡(luò)公開度
書目名稱Computational Diffusion MRI and Brain Connectivity網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Diffusion MRI and Brain Connectivity被引頻次
書目名稱Computational Diffusion MRI and Brain Connectivity被引頻次學(xué)科排名
書目名稱Computational Diffusion MRI and Brain Connectivity年度引用
書目名稱Computational Diffusion MRI and Brain Connectivity年度引用學(xué)科排名
書目名稱Computational Diffusion MRI and Brain Connectivity讀者反饋
書目名稱Computational Diffusion MRI and Brain Connectivity讀者反饋學(xué)科排名
作者: Blood-Clot 時(shí)間: 2025-3-21 23:15 作者: 品嘗你的人 時(shí)間: 2025-3-22 03:27 作者: Factual 時(shí)間: 2025-3-22 07:12
A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imagingtings, however, this can often not be achieved due to limited acquisition time. Reduced field-of-view (FOV) approaches counteract this limitation but may pose a challenge for the post-processing steps such as motion and artifact correction. We present an evaluation of the potential problems that ari作者: 大笑 時(shí)間: 2025-3-22 10:08 作者: 辯論 時(shí)間: 2025-3-22 16:54
Diffusion Propagator Estimation Using Radial Basis FunctionsMeasures derived from the ADP can be potentially used as markers of tissue integrity in characterizing several mental disorders. Thus, accurate estimation of the ADP is imperative for its use in neuroimaging studies. In this work, we propose a simple method for estimating the ADP by representing the作者: 辯論 時(shí)間: 2025-3-22 17:58 作者: 喊叫 時(shí)間: 2025-3-22 21:42 作者: 吊胃口 時(shí)間: 2025-3-23 02:51 作者: 沉著 時(shí)間: 2025-3-23 07:13 作者: 階層 時(shí)間: 2025-3-23 13:30
Choosing a Tractography Algorithm: On the Effects of Measurement Noise hence for mapping of structural connectivity in the human brain. This renders it crucially important to understand the influence of the various MRI imaging artifacts on the tractography results. In this paper, we focus on the thermal noise that is present in all MRI measurements and compare its eff作者: nautical 時(shí)間: 2025-3-23 15:34 作者: 不近人情 時(shí)間: 2025-3-23 20:58 作者: NIP 時(shí)間: 2025-3-24 00:48 作者: 口音在加重 時(shí)間: 2025-3-24 03:35
Groupwise Registration for Correcting Subject Motion and Eddy Current Distortions in Diffusion MRI Uaused by subject motion and eddy current induced geometric distortions. Conventional methods adopt a pairwise registration approach, in which the non-DWI, a.k.a. the b = 0 image, is used as a reference. In this work, a groupwise affine registration framework, using a global dissimilarity metric, is 作者: A精確的 時(shí)間: 2025-3-24 08:19
1612-3786 as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics..978-3-319-37684-4978-3-319-02475-2Series ISSN 1612-3786 Series E-ISSN 2197-666X 作者: 可忽略 時(shí)間: 2025-3-24 12:54
neue betriebswirtschaftliche forschung (nbf)onnectivity and diffusion measures such as FA, is not known. In this work, we use multi-tensor based fiber connectivity to compare data acquired on two subjects with different acceleration factors (. = 1, 2, 3). We investigate and report the reproducibility of fiber bundles and diffusion measures be作者: osteoclasts 時(shí)間: 2025-3-24 18:44
Schriftenreihe Besteuerung der Unternehmung model that predicts the DWI data from all the diffusion gradients by the underpinning tissue microstructure. As a proof-of-concept, we show that the proposed SRR approach provides more accurate reconstruction results than the current SRR technique with synthetic white matter phantoms.作者: Canary 時(shí)間: 2025-3-24 19:56 作者: 結(jié)合 時(shí)間: 2025-3-25 01:35 作者: esoteric 時(shí)間: 2025-3-25 06:00
https://doi.org/10.1007/978-3-663-13017-8ffers the following advantages. First, NNSD is the first SH based method that guarantees non-negativity of the fODF throughout the unit sphere. Second, unlike approaches such as Maximum Entropy SD (MESD), Cartesian Tensor Fiber Orientation Distribution (CT-FOD), and discrete representation based SD 作者: 后天習(xí)得 時(shí)間: 2025-3-25 10:23
https://doi.org/10.1007/978-3-322-83562-8mating the uncertainty in tractography data. In contrast to the residual or wild bootstrap, which relies on a predetermined data model, or the repetition bootstrap, which requires repeated signal measurements, W-NLB does not assume a predetermined form of data structure and obviates the need for tim作者: Hemoptysis 時(shí)間: 2025-3-25 12:29 作者: Conduit 時(shí)間: 2025-3-25 18:35 作者: intangibility 時(shí)間: 2025-3-25 20:56
A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imagingigh sensitivity to parameter selection and produced up to 30 % outliers. With an optimized parameter set, all registration methods yielded spatial errors of 1 mm (±0.572). The spatial error resulted in a mean error of 0.03 (±0.013) in the estimated FA values, and was thus of the same magnitude as gr作者: 潰爛 時(shí)間: 2025-3-26 01:52 作者: periodontitis 時(shí)間: 2025-3-26 04:55 作者: 元音 時(shí)間: 2025-3-26 08:44
Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrapmating the uncertainty in tractography data. In contrast to the residual or wild bootstrap, which relies on a predetermined data model, or the repetition bootstrap, which requires repeated signal measurements, W-NLB does not assume a predetermined form of data structure and obviates the need for tim作者: 支柱 時(shí)間: 2025-3-26 15:23 作者: Costume 時(shí)間: 2025-3-26 19:42
https://doi.org/10.1007/978-3-319-02475-2Connectomics; Diffusion Magnetic Resonance Imaging; Fiber Tractography; Medical Image Analysis; Neuroima作者: 他很靈活 時(shí)間: 2025-3-26 23:15 作者: breadth 時(shí)間: 2025-3-27 03:15
neue betriebswirtschaftliche forschung (nbf)ced dMRI protocols typically require a large number of measurements for accurately tracing the fiber bundles and estimating the diffusion properties (such as, FA). However, the acquisition time of these sequences is prohibitively large for pediatric as well as patients with certain types of brain di作者: Colonoscopy 時(shí)間: 2025-3-27 06:10
https://doi.org/10.1007/978-3-663-13020-8orientation estimation in Diffusion MRI. Specifically, we develop a simulation based on an in-vivo data set and compare a two-compartment “ball-and-stick” model, a constrained spherical deconvolution approach, a generalized Fourier transform approach, and three related methods based on transforms of作者: ferment 時(shí)間: 2025-3-27 09:39 作者: 現(xiàn)存 時(shí)間: 2025-3-27 14:24
https://doi.org/10.1007/978-3-322-89259-1tings, however, this can often not be achieved due to limited acquisition time. Reduced field-of-view (FOV) approaches counteract this limitation but may pose a challenge for the post-processing steps such as motion and artifact correction. We present an evaluation of the potential problems that ari作者: FAR 時(shí)間: 2025-3-27 19:44 作者: SLAG 時(shí)間: 2025-3-27 23:52 作者: 言外之意 時(shí)間: 2025-3-28 04:42
https://doi.org/10.1007/978-3-658-23458-4fic region of interest (ROI) with smaller number of MPGs. Given a training set of diffusion magnetic resonance (MR) images, the method selects the set of MPG directions by minimizing a cost function, which represents the square errors of the reconstructed oriented distribution functions (ODFs). This作者: DAFT 時(shí)間: 2025-3-28 08:08
https://doi.org/10.1007/978-3-663-13017-8tion Function (fODF). As a Probability Density Function (PDF) that characterizes the distribution of fiber orientations, the fODF is expected to be non-negative and to integrate to unity on the continuous unit sphere .. However, many existing approaches, despite using continuous representation such 作者: 吞沒 時(shí)間: 2025-3-28 14:03
Unternehmensbewertung im Steuerrecht,white matter tractography and connectivity analysis. We propose a modified metric tensor given by the adjugate rather than the inverse diffusion tensor. Tractography experiments on real brain diffusion data show improvement in the vicinity of isotropic diffusion regions compared to results for inver作者: geometrician 時(shí)間: 2025-3-28 14:49 作者: 蛙鳴聲 時(shí)間: 2025-3-28 22:41
Unternehmensbewertung im Steuerrecht, hence for mapping of structural connectivity in the human brain. This renders it crucially important to understand the influence of the various MRI imaging artifacts on the tractography results. In this paper, we focus on the thermal noise that is present in all MRI measurements and compare its eff作者: Heart-Rate 時(shí)間: 2025-3-29 00:23 作者: aviator 時(shí)間: 2025-3-29 04:19
https://doi.org/10.1007/978-3-322-83562-8x distributions. In estimating the sampling distributions of these statistics, many existing techniques are limited by their reliance on models that assume normality and that are yet to be verified in complex situations where various noise sources, such as physiologic variation, scanner instability,作者: babble 時(shí)間: 2025-3-29 10:54 作者: 斑駁 時(shí)間: 2025-3-29 13:15 作者: 鋪?zhàn)?nbsp; 時(shí)間: 2025-3-29 19:33
Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria PanOffers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivity.Features the proceedings from two closely relat作者: COLON 時(shí)間: 2025-3-29 23:17
Mathematics and Visualizationhttp://image.papertrans.cn/c/image/232244.jpg作者: 分貝 時(shí)間: 2025-3-30 03:47 作者: Anthem 時(shí)間: 2025-3-30 07:36 作者: Phagocytes 時(shí)間: 2025-3-30 11:29
Unternehmensbewertung im Steuerrecht,white matter tractography and connectivity analysis. We propose a modified metric tensor given by the adjugate rather than the inverse diffusion tensor. Tractography experiments on real brain diffusion data show improvement in the vicinity of isotropic diffusion regions compared to results for inverse (sharpened) diffusion tensors.作者: 贊成你 時(shí)間: 2025-3-30 15:30 作者: 癡呆 時(shí)間: 2025-3-30 17:16
A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection selection of MPGs is a combinatorial optimization problem, and a simulated annealing scheme is employed for selecting the MPGs. Experimental results demonstrated that the set of MPG directions selected by our proposed method reconstructed the ODFs more accurately than an existing method based on spherical harmonics and on greedy optimization.作者: 暴露他抗議 時(shí)間: 2025-3-30 22:40
Uncertainty in Tractography via Tract Confidence Regions region that exposes the location and magnitude of tract uncertainty. The approach is validated on both synthetic and real diffusion MR data and is shown to highlight uncertain regions that occur due to noise, fiber crossings, or pathology.作者: 友好關(guān)系 時(shí)間: 2025-3-31 04:07
Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributionsistration. We validated the registration method on synthetically deformed DWI data and on data of 15 healthy subjects, and achieved sub-voxel accuracy in dense white matter structures. This work is, to the best of our knowledge, the first demonstration of direct registration of probabilistic tractography data.
