Edge detector-based automatic segmentation of the skin layers and application to moisturization in high-resolution 3 Tesla magnetic resonance imaging.

Julien OgnardJawad MesrarYounes BenhoumichLaurent MiseryValérie Burdin Douraied Ben Salem

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2019)

The proposed automatic method to study the first skin layers in 3T MRI using micro-coils was robust and described T2 values and thickness measurements with a strong correlation to manual measurements. The use of an automated affine registration could also permit the generation of a mapping for a visual assessment of moisturization.

Keyphrases

magnetic resonance imaging
high resolution
deep learning
contrast enhanced
soft tissue
machine learning
wound healing
magnetic resonance
convolutional neural network
computed tomography
mass spectrometry
optical coherence tomography
solar cells
high density
tandem mass spectrometry
liquid chromatography