4/7/2023 0 Comments Segmentation imuscle![]() The latissimus dorsi is responsible for extension, adduction, transverse extension also known as horizontal abduction (or horizontal extension), flexion from an extended position, and (medial) internal rotation of the shoulder joint. The latissimus dorsi is the largest muscle in the upper body. The pair of muscles are commonly known as " lats", especially among bodybuilders. The word latissimus dorsi (plural: latissimi dorsi) comes from Latin and means "broadest of the back", from "latissimus" ( Latin: broadest)' and "dorsum" ( Latin: back). If possible, please enable JavaScript and refresh the page.The latissimus dorsi ( / l ə ˈ t ɪ s ɪ m ə s ˈ d ɔːr s aɪ/) is a large, flat muscle on the back that stretches to the sides, behind the arm, and is partly covered by the trapezius on the back near the midline. Not all features of this website will be available to you. WARNING: your browser does NOT have JavaScript enabled. Cardiometabolic Health Outcomes Associated With Discordant Visceral and Liver Fat Phenotypes: Insights From the Dallas Heart Study and UK Biobank. Tejani S, McCoy C, Ayers CR, Powell-Wiley TM, Després JP, Linge J, Leinhard OD, Petersson M, Borga M, Neeland IJ.Adverse muscle composition predicts all-cause mortality in the UK Biobank imaging study. Linge J, Petersson M, Forsgren MF, Sanyal AJ, Dahlqvist Leinhard O.Adverse muscle composition is linked to poor functional performance and metabolic comorbidities in NAFLD. Linge J, Ekstedt M, Dahlqvist Leinhard O.On the Definition of Sarcopenia in the Presence of Aging and Obesity-Initial Results from UK Biobank. Linge J, Heymsfield SB, Dahlqvist Leinhard O.Sub-phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets. Linge J, Whitcher B, Borga M, Dahlqvist Leinhard O.Advanced body composition assessment: from body mass index to body composition profiling. Borga M, West J, Bell JD, Harvey NC, Romu T, Heymsfield SB, Dahlqvist Leinhard O.When using the data for research purposes, the following publications may also be of interest: Reproducibility and repeatability of MRI-based body composition analysis. (2018) Body Composition Profiling in the UK Biobank Imaging Study. (2016) Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies. West J, Dahlqvist Leinhard O, Romu T, et al.Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large scale human studies. Borga M, Thomas LE, Romu T, Rosander J, et al.Journal of magnetic resonance imaging: JMRI. Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI. Karlsson A, Rosander J, Romu T, et al.The following OpenAccess publications provide details of the methods used to derive data in this category under pipeline version 1: A list of the participants with data at both instance 2 and 3, analysed with pipeline version 2, can currently be found in Field 41000. For those with data at both instance 2 and 3, data from instance 2 have been reanalysed in connection with analysis of the corresponding data from instance 3 to enable the highest possible precision for longitudinal assessment (pipeline version 2). Data for participants with only instance 2 have been generated using one pipeline (pipeline version 1). Two highly comparable, but distinct pipelines have been used to generate the derived data in this category. Meaningful differences may exist between data across these categories and therefore, data should not be merged without very careful consideration. The data from these other institutes are held in Category 126 and Category 158. Image-derived phenotypes relating to liver iron and fat, and abdominal composition have been generated by multiple institutes. This category contains derived data from the abdominal MRI, which were supplied by AMRA® Medical AB (Linköping, Sweden). ![]() Assessment centre ⏵ Imaging ⏵ Abdominal MRI ⏵ Abdominal composition ![]()
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