Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models - Ravikumar, Nishant; Gooya, Ali; Çimen, Serkan; Frangi, Alejandro F.; Taylor, Zeike A. (Medical image analysis, 2018)
Keywords: Absorptiometry, Photon; Algorithms; Alignment; Automation; Biomedical materials; Cardiomyopathy; Cardiomyopathy, Hypertrophic - diagnostic imaging; Cognitive ability; Datasets; Dual energy X-ray absorptiometry; Epicardium; Expectation-maximisation (EM); Femur; Femur Head - diagnostic imaging; Group-wise point set registration; Heart; Heart - diagnostic imaging; Hippocampus; Hippocampus - diagnostic imaging; Humans; Hypertension; Hypertension, Pulmonary - diagnostic imaging; Image processing; Image Processing, Computer-Assisted - methods; Image segmentation; Magnetic Resonance Imaging; Mathematical models; Medical imaging; Models, Statistical; Normal distribution; Outliers (statistics); Patients; Registration; Reproducibility of Results; Samples; Sensitivity and Specificity; Similarity; Similarity measures; State of the art; Statistical analysis; Statistical methods; Statistical shape models; Student’s t-mixture model; Surgical implants; Training; Ventricle; Student’s t-mixture model; Group-wise point set registration; Expectation-maximisation (EM); Statistical shape models