Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET.
about
An open source multivariate framework for n-tissue segmentation with evaluation on public data.Regional variability of imaging biomarkers in autosomal dominant Alzheimer's diseaseReliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study.Skull-stripping with machine learning deformable organisms.Design and implementation of an automated partial volume correction in PET: application to dopamine receptor quantification in the normal human striatumMultimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism.Improving (18)F-Fluoro-D-Glucose-Positron Emission Tomography/Computed Tomography Imaging in Alzheimer's Disease Studies.Partial-volume effect correction in positron emission tomography brain scan image using super-resolution image reconstruction.MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI ScansImproved regional activity quantitation in nuclear medicine using a new approach to correct for tissue partial volume and spillover effectsEpisodic memory loss is related to hippocampal-mediated beta-amyloid deposition in elderly subjects.Toward implementing an MRI-based PET attenuation-correction method for neurologic studies on the MR-PET brain prototypeAutomated medical image segmentation techniques.An outlook on future design of hybrid PET/MRI systems.Probabilistic atlas-based segmentation of combined T1-weighted and DUTE MRI for calculation of head attenuation maps in integrated PET/MRI scannersNoise suppressed partial volume correction for cardiac SPECT/CT.An MR image-guided, voxel-based partial volume correction method for PET images.Partial volume correction in quantitative amyloid imaging.Measuring structural complexity in brain images.Evaluation of a method for projection-based tissue-activity estimation within small volumes of interest.Quantitative organ time activity curve extraction from rodent PET images without anatomical prior.Reply to: FDG PET and PET/CT: EANM procedure guideline for tumour PET imaging.Healthy brain ageing assessed with 18F-FDG PET and age-dependent recovery factors after partial volume effect correction.Recovery coefficients determination for partial volume effect correction in oncological PET/CT images considering the effect of activity outside the field of view.Threshold selection criteria for quantification of lumbosacral cerebrospinal fluid and root volumes from MRI.Joint solution for PET image segmentation, denoising, and partial volume correction.
P2860
Q28731438-35736C6C-2F8B-420D-B103-23C0720C2417Q30557788-AED38008-59C8-474B-B7D2-D4C24B7740C3Q33908961-FF86F919-A08B-450A-A792-57893AB6DC09Q34217111-F620EB4D-7C54-4D84-9AF1-318E8C1AF2ADQ35014986-EDC84137-DF75-46F9-9D01-2B2AB9AAFBBBQ35660011-87340C69-043B-4D12-9605-FBCE34287E70Q36045014-A174552D-2E81-48F4-B756-55A48B3909AAQ36187165-CF1103C2-397E-45F9-8E76-120AB3571144Q36374500-7F0CD004-7C25-40F1-B65D-0934F0F418E6Q37090525-C55FD6FB-B1B1-48BD-B535-3C8464BA088BQ37181281-6FA0A3B7-66E9-402F-94C0-000CF528D95FQ37241170-C9DB0CE3-AD96-4CAA-89C8-25D1C298FBC4Q37696982-6455329B-9E47-4BCB-B1BA-98C0E1D8756AQ37944879-80F5D1A3-4DF8-4FB7-A74B-729650C9682DQ38834901-E0FF5C8A-479E-4B9F-841D-E04046E0E92CQ39430044-DA18F28E-6B93-4176-8B8E-7E5CCFD81CE2Q40497458-9CDEB54B-F042-49E1-B35B-12456C38C210Q41716835-176CFE48-F76B-462E-93B7-F86B171E8183Q41760717-1C96EB93-2EDE-4916-B184-CC2E0C3DA676Q41963230-80D23EDA-2631-4CD9-AAFA-10A13277490EQ43073752-73A1297E-33A8-4BE0-B900-7431DF158CA5Q46228846-6B1DA61A-DF03-4F4F-8579-E1932420542EQ48419621-BBE7A6E4-F4EE-4F26-B75B-FF947CDB7198Q48922888-58A8DE7B-487D-4666-A732-02B032AE40FAQ51064533-CBBA2AE0-BDD3-4CB7-AA10-464AABDA07D0Q52600762-8B4BD96F-CA70-40A8-B80A-91EA3A66074E
P2860
Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
Comparative assessment of stat ...... tial volume correction in PET.
@en
Comparative assessment of stat ...... tial volume correction in PET.
@nl
type
label
Comparative assessment of stat ...... tial volume correction in PET.
@en
Comparative assessment of stat ...... tial volume correction in PET.
@nl
prefLabel
Comparative assessment of stat ...... tial volume correction in PET.
@en
Comparative assessment of stat ...... tial volume correction in PET.
@nl
P2093
P1433
P1476
Comparative assessment of stat ...... tial volume correction in PET.
@en
P2093
Frederic Schoenahl
Habib Zaidi
Marie-Louise Montandon
Torsten Ruest
P304
P356
10.1016/J.NEUROIMAGE.2006.05.031
P407
P577
2006-07-07T00:00:00Z