AI for the detection of gastrointestinal motility in 3D cine MR

Develop a deep learning method to automatically quantify gastrointestinal motion using dynamic 2D and 3D MRI of the abdomen.

ONGOING

2019

 

 | 

2022

 

RESEARCH AREAS

About project

Dynamic MRI allows detection and quantification of motility in the complete gastrointestinal tract without harm for the patient. This has been demonstrated to be valuable in inflammatory bowel disease and may be valuable in the evaluation of other gastrointestinal pathologies. In spite of possibilities offered by imaging, an automatic, fast, robust and reproducible method for motility quantification, especially exploiting dynamic 3D MR data, is currently lacking. Hence, the goal of this project is to develop a deep learning method to automatically quantify gastrointestinal motion using dynamic 2D and 3D MRI of the abdomen.

 

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