Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI.
about
Multi-atlas segmentation of biomedical images: A surveyAssociation of Quadriceps Muscle Fat With Isometric Strength Measurements in Healthy Males Using Chemical Shift Encoding-Based Water-Fat Magnetic Resonance ImagingFat quantification in skeletal muscle using multigradient-echo imaging: Comparison of fat and water references.Segmentation and quantification of adipose tissue by magnetic resonance imaging.Automated assessment of thigh composition using machine learning for Dixon magnetic resonance images.Robust water fat separated dual-echo MRI by phase-sensitive reconstruction.Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical TrialsA concept for holistic whole body MRI data analysis, Imiomics.Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance imagesA Randomized Study of the Effects of Additional Fruit and Nuts Consumption on Hepatic Fat Content, Cardiovascular Risk Factors and Basal Metabolic Rate.Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies.Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction: Repeatability and Accuracy of an MR Imaging-based, Semiautomated Analysis Method.Whole-body adipose tissue and lean muscle volumes and their distribution across gender and age: MR-derived normative values in a normal-weight Swiss population.Emerging Technologies and their Applications in Lipid Compartment MeasurementFully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.Segmentation of joint and musculoskeletal tissue in the study of arthritis.Dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment in vivoValidation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas.Tissue segmentation: a crucial tool for quantitative MRI and visualization of anatomical structures.Fat Quantification in the Abdomen.Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects.Precision of MRI-based body composition measurements of postmenopausal women.Volume measurements of individual muscles in human quadriceps femoris using atlas-based segmentation approaches.Multi-atlas-based fully automatic segmentation of individual muscles in rat leg.Diagnostic imaging of osteoporosis and sarcopenia: a narrative review.Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUM.Advanced body composition assessment: from body mass index to body composition profiling.European Obesity Summit (EOS) - Joint Congress of EASOand IFSO-EC, Gothenburg, Sweden, June 1 - 4, 2016: Abstracts
P2860
Q26825130-9FDB0F23-96E9-449E-9F4A-2552DDF96617Q28833812-64CCF7C5-550C-4440-A255-DDDD659A881BQ30975614-B809E282-5C5D-40C9-AEA6-138CDFCB35AFQ30991409-0D9213DF-CBE6-4719-BDA1-F61A1E736626Q31064756-AD1C6C45-4704-44FA-8C5C-634B5D241352Q31138675-77E0D500-1F30-4C4A-81B2-29A0FD5A7793Q31142754-82068BF1-ACFB-4557-B61F-759F1CAFB47FQ31166781-02E5DA7E-ED23-40B4-ABDF-B0A19ECF95E0Q33780525-30440BB1-390F-4704-9E45-5E9E29AEADB3Q35898806-92C87ED0-79EC-45D6-BA99-92B3192EE172Q36142944-B3A047B9-B01F-4885-9C11-9AC9DBF9892EQ36302147-BA590366-B3D7-47E3-9227-8AB8F15BC339Q36354055-60B5E1FD-D252-4E49-934D-9A8EE0D7BDE5Q36355537-A5F23D5B-6CA5-4D7C-9920-C98CC2CC3AD8Q38653246-C7203DA6-8133-4DFC-9FF0-3409D30E1BA0Q38750009-5A6C89E0-683D-409E-9903-58CFD903DC41Q39181819-D2A14D86-E6E2-4726-B8BA-DD2A02DDCC7CQ41768753-562D74FA-3DBA-4AD2-B773-7C62E1864661Q43893279-ECE1EEDF-0A0D-42AB-90FB-0F2476263547Q45992724-FECDD93C-72F5-45E9-86B0-A711C74EC9D1Q47299795-3F048B70-09B9-4386-8B15-26D5E6C19452Q48504390-46510DAA-43CF-4655-80BA-BBA964159A61Q48623731-324EA227-3697-4BF0-996D-50CAF58713B9Q50545591-60B55540-B11C-4F42-B0D8-F78CC3234B60Q55252491-861DA487-92D7-4B64-B817-A244BDB662CDQ55286542-58247052-CA28-4059-80CD-90D3A08309BBQ55404959-1796C17F-B487-4470-9C0B-7D99D6940BE5Q57687713-0CFCB4CE-F24D-4F19-98D5-466E438E1414
P2860
Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI.
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
name
Automatic and quantitative ass ...... sing whole-body water-fat MRI.
@ast
Automatic and quantitative ass ...... sing whole-body water-fat MRI.
@en
type
label
Automatic and quantitative ass ...... sing whole-body water-fat MRI.
@ast
Automatic and quantitative ass ...... sing whole-body water-fat MRI.
@en
prefLabel
Automatic and quantitative ass ...... sing whole-body water-fat MRI.
@ast
Automatic and quantitative ass ...... sing whole-body water-fat MRI.
@en
P2093
P2860
P356
P1476
Automatic and quantitative ass ...... using whole-body water-fat MRI
@en
P2093
Anders Grönqvist
Anette Karlsson
Joakim Tallberg
Johannes Rosander
Magnus Borga
Olof Dahlqvist Leinhard
P2860
P304
P356
10.1002/JMRI.24726
P50
P577
2014-08-11T00:00:00Z