Omics-Applications

Muscle Compartment

Imaging and automated quantification of the sectioned muscles (blue, psoas, paravertebral, and abdominal wall muscles) at a lumbar reference level for classification of sarcopenia.

Body Composition

Illustration of the relationship between signal intensities (histogram representation) and tissue compartments (fat, soft tissue/muscle, bone) using the example of an axial CT image at the level of the lumbar spine.

Fat Compartment

Imaging and automated quantification of visceral and subcutaneous fat (green) at a lumbar reference level for classification of visceral obesity.

Radiomics - 3D Slicer

Calculation of radiomics features using the 3D Slicer platform (slicer.org) on the example of a segmented area of the M. psoas. The total of 140 statistical features are divided into classes (column B of the table) concerning e.g. shape ("shape") or texture ("glcm", "gldm" - different orders).

Proteomic risk prediction of COVID-19 disease (SARS-CoV-2 infection).