Evaluation of adipose tissue volume quantification with IDEAL fat–water separation

Alabousi, Abdullah; Al-Attar, Salam A.; Joy, Tisha; Hegele, Robert A.; McKenzie, Charles A.

doi:10.1002/jmri.22603

Cited by 29 publications

(20 citation statements)

References 23 publications

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“…This technique combines six asymmetrically acquired echoes with parallel imaging with an iterative least-squares decomposition algorithm to maximize noise performance. Unlike conventional fat-saturation methods, IDEAL is insensitive to magnetic field (B0 and B1) inhomogeneities and highly SNR-efficient [24,25]. The geometry parameters of the 3D gradient echo sequence matched those of the morphological imaging sequence; six TEs between 4.6 and 8.3 ms were used, the TEs used are specific to acquiring asymmetric echoes that are separated by 2π/3 with the middle echo at π/2+ π *k, k = 1,2; 5° FA; 3 echo train length; with 44 slices 5 mm thick in one 3D slab.…”

Section: Methodsmentioning

confidence: 99%

Age-associated differences in triceps surae muscle composition and strength – an MRI-based cross-sectional comparison of contractile, adipose and connective tissue

Csapo

Malis

Sinha

et al. 2014

BMC Musculoskelet Disord

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BackgroundIn human skeletal muscles, the aging process causes a decrease of contractile and a concomitant increase of intramuscular adipose (IMAT) and connective (IMCT) tissues. The accumulation of non-contractile tissues may contribute to the significant loss of intrinsic muscle strength typically observed at older age but their in vivo quantification is challenging. The purpose of this study was to establish MR imaging-based methods to quantify the relative amounts of IMCT, IMAT and contractile tissues in young and older human cohorts, and investigate their roles in determining age-associated changes in skeletal muscle strength.MethodsFive young (31.6 ± 7.0 yrs) and five older (83.4 ± 3.2 yrs) Japanese women were subject to a detailed MR imaging protocol, including Fast Gradient Echo, Quantitative Fat/Water (IDEAL) and Ultra-short Echo Time (UTE) sequences, to determine contractile muscle tissue and IMAT within the entire Triceps Surae complex, and IMCT within both heads of the Gastrocnemius muscle. Specific force was calculated as the ratio of isometric plantarflexor force and the physiological cross-sectional area of the Triceps Surae complex.ResultsIn the older cohort, total Triceps Surae volume was smaller by 17.5%, while the relative amounts of Triceps Surae IMAT and Gastrocnemius IMCT were larger by 55.1% and 48.9%, respectively. Differences of 38.6% and 42.1% in plantarflexor force and specific force were observed. After subtraction of IMAT and IMCT from total muscle volume, differences in intrinsic strength decreased to 29.6%.ConclusionsOur data establishes that aging causes significant changes in skeletal muscle composition, with marked increases in non-contractile tissues. Such quantification of the remodeling process is likely to be of functional and clinical importance in elucidating the causes of the disproportionate age-associated decrease of force compared to that of muscle volume.

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Section: Methodsmentioning

confidence: 99%

Age-associated differences in triceps surae muscle composition and strength – an MRI-based cross-sectional comparison of contractile, adipose and connective tissue

Csapo

Malis

Sinha

et al. 2014

BMC Musculoskelet Disord

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“…A critical question in this rapidly emerging area is how well these automated methods compare to the currently accepted semi-automated segmentation T1-weighted imaging approach reviewed in an earlier section and these studies are now underway[5, 46, 47]. Additionally, another automated option for quantifying the metabolically-relevant VAT compartment was recently added to dual-energy X-ray absorptiometry (DXA) software [48, 49].…”

Section: Emerging Methods Closing Knowledge Gapsmentioning

confidence: 99%

Emerging Technologies and their Applications in Lipid Compartment Measurement

Heymsfield

Shen

et al. 2015

Trends in Endocrinology & Metabolism

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Non-Communicable diseases (NCDs), including obesity, are emerging as the major health concern of the 21st century. Excess adiposity and related NCD metabolic disturbances have stimulated development of new lipid compartment measurement technologies to help us understand cellular energy exchange, to refine phenotypes, and to develop predictive markers of adverse clinical outcomes. Recent advances now allow for quantification of multiple intracellular lipid and adipose tissue compartments that can be evaluated across the human lifespan. With magnetic resonance methods leading the way, newer approaches will give molecular structural and metabolic information beyond the laboratory in real-world settings. The union between these new technologies and the growing NCD population is creating an exciting interface advancing our understanding of chronic disease mechanisms.

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“…While the advantages of MRI for monitoring ectopic fat depots are important -it does not require ionizing radiation, and is non-invasive -on the other hand, it generates a large amount of data requiring analysis for quantification of volumes. Many studies have pursued the development of automated or semi-automated techniques to segment VAT and SAT from MRI images to facilitate its use in assessment of regional adiposity [29][30][31][32][33][34] .…”

Section: Discussionmentioning

confidence: 99%

Automated segmentation of cardiac adipose tissue in Dixon magnetic resonance images

Klingensmith

Elliott

Fernández-del-Valle

et al. 2017

JBGC

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Objective: Increasing evidence suggests a strong link between excess cardiac adipose tissue (CAT) and the risk of a cardiovascular event. Multi-echo Dixon magnetic resonance imaging (MRI), providing fat-only and water-only images, is a useful tool for quantification but requires the segmentation of CAT from a large number of images. The intent of this study was to evaluate an automated technique for CAT segmentation from Dixon MRI by comparing the contours identified by the automated algorithm to those manually traced by an observer.Methods: An automated segmentation algorithm, based on optimal thresholds and custom morphological processing, was applied to the registered fat-only and water-only images to identify CAT in the volume scans. CAT contours in 446 images, from 10 MRI scans, were selected for validation analysis. Cross-sectional area (CSA) and volume were computed and compared using Bland-Altman analysis. In addition, Hausdorff distance and Dice Similarity Coefficient (DSC) were used for assessment.Results: Linear regression analysis yielded correlation of R 2 = 0.381 for CSA and R 2 = 0.879 for volume. When compared to the observer, the computer algorithm under-estimated CSA by 27.5 ± 40.0% and volume by 26.4 ± 10.4%. The average bidirectional Hausdorff distance was 26.2 ± 16.0 mm while the average unidirectional Hausdorff distances were 24.5 ± 15.7 mm and 12.4 ± 11.7 mm. The average DSC was 0.561 ± 0.100. The time required for manual tracing was 15.84 ± 3.73 min and the time required for the computer algorithm was 2.81 ± 0.12 min. Conclusions:This study provided a technique, faster and less tedious than manual tracing (p < 0.00001), for quantification of CAT in Dixon MRI data, demonstrating feasibility of this approach for cardiac risk stratification.

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Evaluation of adipose tissue volume quantification with IDEAL fat–water separation

Cited by 29 publications

References 23 publications

Age-associated differences in triceps surae muscle composition and strength – an MRI-based cross-sectional comparison of contractile, adipose and connective tissue

Age-associated differences in triceps surae muscle composition and strength – an MRI-based cross-sectional comparison of contractile, adipose and connective tissue

Emerging Technologies and their Applications in Lipid Compartment Measurement

Automated segmentation of cardiac adipose tissue in Dixon magnetic resonance images

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