mri data
Patient-oriented simulation based on Monte Carlo algorithm by using MRI data
... dimensional time-resolved Monte Carlo simulation to investigate the structural charac- teristic of individualized brain. The result indicates that the three-dimensional model which faithfully represents the realistic and ...
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Evaluation of B1 inhomogeneity effect on DCE MRI data analysis of brain tumor patients at 3T
... errors on dynamic data analysis reduce with increase in FA compared to Ernst angle (observation based on simu- lation, result not shown). However, this also results in a reduction of SNR in DCE-MRI ...
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Classification of Alzheimer's Disease from 3D Structural MRI Data
... structural MRI data ...using data analyzed by combining the VBM approach and neuropsychological tests to categorize the three groups of ...large MRI data ...
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Automatic 3D detection and segmentation of head and neck cancer from MRI data
... Abstract—A novel algorithm for automatic head and neck 3D tumour segmentation from magnetic resonance imaging (MRI) is presented. The proposed algorithm pre-processes the MRI data slices to enhance ...
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Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data
... This research proposes a hybrid method for improving the segmentation accuracy of reconstructed 3D models from computed tomography/ magnetic resonance imaging (CT/MRI) data. A semi-automatic hybrid method ...
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Learning a Classication-based Glioma Growth Model Using MRI Data
... clinical data demonstrate that our learned CDM model can, in most cases, predict glioma growth more effectively than two standard models: uniform radial growth across all tissue types, and another that assumes ...
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Would the field of cognitive neuroscience be advanced by sharing functional MRI data?
... Pattern classification techniques were ‘ discovered ’ when cognitive neuroscientists realized that they had been applied in other fields to solve complex problems such as face recognition [5], handwriting recognition ...
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Qualitative and quantitative analysis of MRI data from patients with epilepsy
... original data for the effects of head tilt, pitch and rotation by using standard neuroanatomical landmarks and bringing each brain into a unified system of coordinates: all of this assumes, as above, that all the ...
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Analysis of multiparametric MRI data in prostatic carcinoma- PI-RADS and correlation with gleason score in a 3T MRI
... Because of these limitations of the currently existing techniques, the search for a diagnostic technique which is reliable, sensitive, specific with good positive and negative predictive values besides being non-invasive ...
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Multimodal image registration of the scoliotic torso for surgical planning
... spine data. For example, vertebral structures extracted from MRI data have previously been modeled as rigid bodies for reg- istration purposes ...CT data for the entire torso is not possible ...
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Proximity Map Projection: Interactive Visualisation for Image-Guided Surgery
... 2-D MRI slices corresponding to those interesting ...2-D MRI data, thus freeing up surgeons to spend a greater proportion of their time applying their expertise to decision making, rather than to ...
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Modified Fuzzy C-Means Algorithm and its Application
... “Adaptive segmentation of MRI data”, IEEE Trans. Medical Imaging , 1996, 15:429–442. 11. M. N. Ahmed, S. M. Yamany, “A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of ...
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Diffusion weighted and dynamic contrast enhanced MRI of pancreatic adenocarcinoma xenografts: associations with tumor differentiation and collagen content
... MRI can be carried out under well-controlled condi- tions in preclinical studies, and the tumor tissue can be excised in its entirety immediately after the imaging for histological examination. Experimental tumors ...
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International Veterinary Epilepsy Task Force recommendations for a veterinary epilepsy-specific MRI protocol
... in MRI–negative patients. Methods of processing MRI data post-acquisition have identified previously un- detectable or overlooked abnormalities in humans [8, ...the MRI is negative then ...
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The addition of a sagittal image fusion improves the prostate cancer detection in a sensor-based MRI /ultrasound fusion guided targeted biopsy
... and Data System ” (PI-RADS), which introduced a 5-point Likert scale for each region (peripheral and central glan- dular sections) with corresponding scores for each se- quence (T2, DWI, DCE, and MR-Spectroscopy) ...
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MRI A Map Reduce Interpretation Framework for Mitigating DDOS Attacks in Big Data
... storage, dataanalysis,search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data can be described by the following characteristics: Volume, Variety, ...
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Ant Colony Optimization Based Algorithm For Detection Of Ovarian Tumour
... tumour data, the quantity of features can reach up to several thousands; the Ovarian tumour has some number ...the data represents a significant issue to the strategies for selecting characteristics with ...
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MRI with DWI for the Detection of Posttreatment Head and Neck Squamous Cell Carcinoma: Why Morphologic MRI Criteria Matter
... of MRI and DWIMRI are indicated in Table 2 for the consensus between the 2 ...Morphologic MRI yielded 30 true-posi- tive evaluations (Fig 1 and On-line Fig 1) and 52 true-negative evaluations (On- line Fig ...
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Identifying the affected hemisphere with a multimodal approach in MRI-positive or negative, unilateral or bilateral temporal lobe epilepsy
... the MRI and MRS acquisition), which is often time ...of MRI was not high in this study: eight out of eleven patients ...positive MRI had HS, one ...in MRI-negative TLE, 8 out of 13 patients ...
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The instrument constant of sky radiometers (POM-02) – Part 1: Calibration constant
... are several percentage points of difference in the values de- pending on the wavelength. The SVA uncertainty is 1 % (see Part 2, Uchiyama et al., 2018); the disk scan data were taken at MLO, where measurement ...
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