Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.
Florian DubostMarleen de BruijneMarco NardinAdrian V. DalcaKathleen L. DonahueAnne-Katrin GieseMark R. EthertonOna WuMarius de GrootWiro J. NiessenMeike W. VernooijNatalia S. RostMarkus D. SchirmerPublished in: Medical Image Anal. (2020)
Keyphrases
- quality assessment
- clinical data
- multi atlas
- image registration
- fully automatic
- medical data
- statistical analysis
- medical images
- image quality
- medical imaging
- raw data
- label fusion
- level set
- segmentation algorithm
- semi automatic
- left ventricle
- data quality
- human visual system
- mutual information
- image segmentation
- deformable models
- region of interest
- knowledge discovery
- fusion methods
- segmentation method
- image analysis
- atlas based segmentation
- image fusion
- multiscale
- high quality
- machine learning
- segmentation accuracy
- atlas construction
- feature selection