AI in MRI
- [Paris, France - Civil Engineering Discoveries]
- Overview
- AI in Cardiovascular Magnetic Resonance (CMR) Imaging
AI has many applications in cardiovascular magnetic resonance (CMR) imaging, including:
- Image acquisition: AI can automate plane selection and improve image quality.
- Preprocessing: AI can normalize images and remove artifacts.
- Post-processing: AI can automatically classify images.
- Scan planning: AI can automate CMR planning.
- Image analysis: AI can improve image analysis.
- Quality control: AI can improve quality control.
- Diagnosis and prognosis: AI can support medical diagnosis and prognosis.
- Segmentation: AI can segment atrial scars.
- Quantification: AI can quantify volumes, function, myocardial infarction (MI), and scar detection.
- Outcome prediction: AI can predict outcomes.
AI can improve the CMR examination process by making it faster and more streamlined. This can benefit both patients and technicians, as patients spend less time in the scanner and technicians can see more patients.
[More to come ...]
