Elastic model-based segmentation of 3-D neuroradiological data sets

This paper presents a new technique for the automatic model-based segmentation of three-dimensional (3-D) objects from volumetric image data. The development closely follows the seminal work of Taylor and Cootes on active shape models, but is based on a hierarchical parametric object description rat...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on medical imaging 1999-10, Vol.18 (10), p.828-839
Hauptverfasser:	Kelemen, A., Szekely, G., Gerig, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Active shape model Algorithms Application software Biomedical imaging Brain Brain - pathology Deformable models Elasticity Humans Image analysis Image segmentation Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Male Mathematical models Medical diagnostic imaging Models, Neurological Neurophysiology Physiological models Psychiatry Radiology Reproducibility of Results Schizophrenia - diagnosis Statistical methods Surface Properties Ultrasonic imaging
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!