作者: Inclement 時(shí)間: 2025-3-21 21:50
Noise Floor Removal via Phase Correction of Complex Diffusion-Weighted Images: Influence on DTI andffusion signal. As a consequence, also the estimated diffusion metrics can be biased. We study the effect of phase correction, a procedure that re-establishes the Gaussianity of the noise distribution in DWIs by taking into account the corresponding phase images. We quantify the debiasing effects of作者: epinephrine 時(shí)間: 2025-3-22 01:45
Regularized Dictionary Learning with Robust Sparsity Fitting for Compressed Sensing Multishell HARD with a proposed . term to handle low signal-to-noise ratios at high . values. We combine the dictionary model for diffusion signals together with a multiscale (wavelet-based) spatial model on images for compressed sensing. To control overfitting of the dictionary to tracts with unknown orientations作者: remission 時(shí)間: 2025-3-22 06:36
Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framve analysis, it is often desirable to remove noise and at the same time preserve relevant image features. In this paper, we propose a tight wavelet frame based approach for edge-preserving denoising of DW images. Our approach (1) employs the unitary extension principle (UEP) to generate frames that 作者: 寬敞 時(shí)間: 2025-3-22 10:26 作者: Horizon 時(shí)間: 2025-3-22 13:30 作者: Horizon 時(shí)間: 2025-3-22 21:03
Sensitivity of OGSE ActiveAx to Microstructural Dimensions on a Clinical Scanner,of techniques to measure axon diameterusing diffusion MR I have been proposed, majority of which uses single diffusion encoding (SDE) spin-echo sequence. However, recent theoretical research suggests that low-frequency oscillating gradient spin echo(OGSE ) offers benefits over SDE for imaging diamet作者: set598 時(shí)間: 2025-3-23 00:09 作者: BAIT 時(shí)間: 2025-3-23 01:52 作者: excursion 時(shí)間: 2025-3-23 07:18 作者: Rankle 時(shí)間: 2025-3-23 10:07 作者: Rustproof 時(shí)間: 2025-3-23 16:24 作者: Adulterate 時(shí)間: 2025-3-23 20:22 作者: 冷淡一切 時(shí)間: 2025-3-24 00:47 作者: 史前 時(shí)間: 2025-3-24 03:56 作者: 圓錐體 時(shí)間: 2025-3-24 10:32 作者: Blatant 時(shí)間: 2025-3-24 14:26 作者: Gleason-score 時(shí)間: 2025-3-24 15:52 作者: 免除責(zé)任 時(shí)間: 2025-3-24 22:16
Manfred Bornhofen,Martin C. Bornhofenvided in agreement with the human homunculus of Penfield. We illustrate this by comparing our resulting parcels with an anatomical atlas and the motor strip mapping included in the Human Connectome Project data.作者: Gratuitous 時(shí)間: 2025-3-24 23:34 作者: Amylase 時(shí)間: 2025-3-25 04:55
Manfred Bornhofen,Martin C. Bornhofenssessment of the resulting cortical parcellation demonstrates several spatially coherent clusters in areas corresponding to well known functional anatomical areas. In addition, it exhibits some cluster boundaries that correlate with independently derived myelin mapping data for the same set of subje作者: 拋物線 時(shí)間: 2025-3-25 11:21
Manfred Bornhofen,Martin C. Bornhofenof the diffusion MRI measures, giving the method additional descriptive power. We apply our regularized regression approach to classify Alzheimer’s disease patients and healthy controls in the ADNI dataset, based on their diffusion MRI data.作者: DIKE 時(shí)間: 2025-3-25 15:23 作者: VEST 時(shí)間: 2025-3-25 17:50
Besteuerungsprinzipien und Rechtsformenhis two-step pattern might be linked with a neuroinflammatory response that may be occurring prior to, or during microstructural breakdown. Using our approach, we are able to provide—for the first time—preliminary and valuable insight on relevant biomarkers that may directly describe the underlying 作者: 蟄伏 時(shí)間: 2025-3-25 22:39 作者: 癡呆 時(shí)間: 2025-3-26 01:57 作者: PACK 時(shí)間: 2025-3-26 04:31 作者: Irremediable 時(shí)間: 2025-3-26 09:01 作者: 奇思怪想 時(shí)間: 2025-3-26 15:05
Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion,f a distribution and is hence robustness to outliers. Our method is therefore in effect seeking the most probable signal profile at each voxel given a distribution of profiles. Experimental results confirm that our method yields cleaner fiber orientation distribution functions with less artifacts ca作者: 釘牢 時(shí)間: 2025-3-26 18:25 作者: 鴕鳥 時(shí)間: 2025-3-27 00:33
,Using Multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 Prior,of the diffusion MRI measures, giving the method additional descriptive power. We apply our regularized regression approach to classify Alzheimer’s disease patients and healthy controls in the ADNI dataset, based on their diffusion MRI data.作者: 博愛家 時(shí)間: 2025-3-27 03:21
Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Sted in early stages of PD and is implicated in other non-motor symptoms of PD might be differentially affected in PD and SWEDD group. The diffusion imaging data from 39 PD, 28 SWEDD and 21 normal subjects were reconstructed in the MNI space using q-space diffeomorphic reconstruction (QSDR) to assess作者: 使熄滅 時(shí)間: 2025-3-27 08:53
Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-Shell Diffusion MRI,his two-step pattern might be linked with a neuroinflammatory response that may be occurring prior to, or during microstructural breakdown. Using our approach, we are able to provide—for the first time—preliminary and valuable insight on relevant biomarkers that may directly describe the underlying 作者: APNEA 時(shí)間: 2025-3-27 11:24
Working Memory Function in Recent-Onset Schizophrenia Patients Associated with White Matter Microstocal connectomes with a study variable along the fiber pathways themselves instead of finding the difference in the whole fiber pathways. This study showed that lesser integrity of some fiber tracts like the arcuate fasciculus, the inferior longitudinal fasciculus, the body of corpus callosum and al作者: BIPED 時(shí)間: 2025-3-27 17:30
Conference proceedings 2017e papers from the 2016 MICCAI Workshop “Computational Diffusion MRI” – which was intended to provide a snapshot of the latest developments within the highly active and growing field of diffusion MR – cover a wide range of topics, from fundamental theoretical work on mathematical modeling, to the dev作者: 浮雕 時(shí)間: 2025-3-27 19:24 作者: 時(shí)代 時(shí)間: 2025-3-27 22:22
978-3-319-85326-0Springer International Publishing AG 2017作者: Outshine 時(shí)間: 2025-3-28 02:42
Manfred Bornhofen,Martin C. Bornhofens have been joined by stretched exponentials, HARDI methods, compartment-based microstructure models and effective medium theories. At the same time, the field has experienced a cultural shift away from MR physics and towards computer science, emphasising Bayesian statistics and Machine Learning. Th作者: 做方舟 時(shí)間: 2025-3-28 08:18 作者: modest 時(shí)間: 2025-3-28 12:40 作者: biopsy 時(shí)間: 2025-3-28 14:51 作者: LATE 時(shí)間: 2025-3-28 21:34 作者: incubus 時(shí)間: 2025-3-29 01:18 作者: anaerobic 時(shí)間: 2025-3-29 03:55
Manfred Bornhofen,Martin C. Bornhofenof techniques to measure axon diameterusing diffusion MR I have been proposed, majority of which uses single diffusion encoding (SDE) spin-echo sequence. However, recent theoretical research suggests that low-frequency oscillating gradient spin echo(OGSE ) offers benefits over SDE for imaging diamet作者: 發(fā)電機(jī) 時(shí)間: 2025-3-29 10:54 作者: Libido 時(shí)間: 2025-3-29 13:37 作者: 侵略主義 時(shí)間: 2025-3-29 18:14
Manfred Bornhofen,Martin C. Bornhofenrcuitry of each human amygdaloid subnuclei, there has yet to be an efficient imaging method for identifying these regions in vivo. A data-driven approach without prior knowledge provides advantages of efficient and objective assessments. The present study uses high angular and high spatial resolutio作者: 嗎啡 時(shí)間: 2025-3-29 23:20
Manfred Bornhofen,Martin C. Bornhofenquisition methods and modeling techniques. These result in extremely large sets of streamelines (fibers) for each subject. The sets require large amount of storage and are often unwieldy and difficult to manipulate and analyze. We propose to use sparse representations for fibers to achieve a more co作者: Cpap155 時(shí)間: 2025-3-30 00:24 作者: Root494 時(shí)間: 2025-3-30 07:59
Manfred Bornhofen,Martin C. Bornhofenn reconstruction models can lead to better and more accurate measures of tissue properties: each measure provides different information on white matter microstructure in the brain, revealing different signs of disease. The diversity of computable measures makes it necessary to develop novel classifi作者: Fulminate 時(shí)間: 2025-3-30 11:26
Unternehmensbeteiligungen und Organschaft features from PD. A commonly found symptom of these patients being focal and unilateral dystonia. SWEDD patients do not respond to dopaminergic therapy and may in turn benefit from management of adult onset dystonia, therefore early differential diagnosis from PD is important in order to avoid over作者: 雕鏤 時(shí)間: 2025-3-30 12:47
Handelsgesetzbuch – HandelsbilanzRI)and the neurite density inferred from the Neurite Orientation Dispersion and Density Imaging (NODDI) modelin some well-known lateralized cortical areas.We found a strong colocalization between those two parameters in lateralized areas such as the primary motor cortex, the language network, but al作者: acolyte 時(shí)間: 2025-3-30 17:21 作者: 混合,攙雜 時(shí)間: 2025-3-30 23:09 作者: promote 時(shí)間: 2025-3-31 03:54 作者: 小卒 時(shí)間: 2025-3-31 06:40
Mathematics and Visualizationhttp://image.papertrans.cn/c/image/232241.jpg作者: 單色 時(shí)間: 2025-3-31 13:07
Computational Diffusion MRI978-3-319-54130-3Series ISSN 1612-3786 Series E-ISSN 2197-666X 作者: propose 時(shí)間: 2025-3-31 13:48
Manfred Bornhofen,Martin C. Bornhofenand then how different physical assumptions and formulations lead to different models. The intention is to show the different assumptions made in different models, to aid understanding and model selection.
