Auto-segmentation of thoraco-abdominal organs in pediatric dynamic MRI.

ABSTRACT:

Purpose

Dynamic magnetic resonance imaging (dMRI) is a practical imaging modality for capturing information about regional thoracic-abdominal components and their dynamics in healthy children and pediatric patients with thoracic insufficiency syndrome (TIS). We propose an auto-segmentation set-up for the lungs, kidneys, liver, spleen, and thoraco-abdominal skin outer boundary (Skn) in dMRI images.

Methods

The segmentation setup has been implemented in two steps, recognition and delineation, using two deep neural network (DL) architectures, DL-R and DL-D for the recognition and delineation steps, respectively. The encoder-decoder framework in DL-D utilizes features at four different resolution levels to counter the challenges involved in segmentation. dMRI sagittal slice acqu

SUBMITTER: Akhtar Y 

PROVIDER: S-EPMC12596233 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature