Adipose tissue distribution in children: automated quantification using water and fat MRI.

• Purpose: To develop and validate a method for rapid acquisition and automated processing of magnetic resonance (MR) images for analysis of abdominal adipose tissue distribution in children. Materials and Methods: The study included 21 (10 girls, 11 boys) healthy 5-year-old children. Rapid water and fat MR imaging (6 sec) was performed using a 2-point-Dixon technique on a 1.5T MR scanner using an 8-channel cardiac coil. An automated image processing algorithm was developed for automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT), respectively. The results from the fully automated analysis were compared to those from a semiautomated analysis, performed by three operators, from the same images. Results: The automated analysis was seen to give results with strong correlation to the reference measurements (r ≥ 0.997); however, the SAT volume was underestimated by 9.4 ± 3.8%. The accuracy of the automated segmentation of VAT and SAT (TP: true positive, FP: false positive, mean ± SD, %) was TP: 83.6 ± 8.5, FP: 12.7 ± 6.8; and TP: 89.9 ± 3.6, FP: 0.7 ± 0.3, respectively.

Ämnesord

SAMHÄLLSVETENSKAP  -- Annan samhällsvetenskap -- Övrig annan samhällsvetenskap (hsv//swe)

SOCIAL SCIENCES  -- Other Social Sciences -- Other Social Sciences not elsewhere specified (hsv//eng)

Nyckelord

Adipose Tissue

anatomy & histology

Algorithms

Body Fat Distribution

methods

Body Water

Child

Preschool

Cohort Studies

Female

Humans

Image Processing

Computer-Assisted

methods

Intra-Abdominal Fat

anatomy & histology

Magnetic Resonance Imaging

methods

Male

Reference Values

Reproducibility of Results

Subcutaneous Fat

anatomy & histology

MEDICINE

Publikations- och innehållstyp

ref (ämneskategori)

art (ämneskategori)