Efficient and Motion Correction-Free Myocardial Perfusion Segmentation in Small MRI Data Using Deep Transfer Learning From Cine Images: A Promising Framework for Clinical Implementation.
Germán García-JaraAngel Jiménez MolinaEsteban ReyesNicolás Tapia-RivasCristóbal Ramos-GómezJosé De GraziaMatías SepúlvedaPublished in: IEEE Access (2023)
Keyphrases
- mri data
- mr imaging
- motion correction
- fully automatic
- mr images
- accurate segmentation
- contrast enhanced
- dce mri
- magnetic resonance imaging
- nonrigid registration
- segmentation method
- segmentation algorithm
- automated segmentation
- left ventricle
- contrast agent
- medical images
- left ventricular
- magnetic resonance images
- synthetic data
- magnetic resonance
- image data
- motion tracking
- image segmentation
- brain tissue
- clinical applications
- input image
- image analysis
- three dimensional
- brain imaging
- brain tumors
- level set
- graph cuts
- low contrast
- image intensity
- real world
- automatic segmentation
- decision trees
- semi automatic
- machine learning