Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration

Computerized Medical Imaging and Graphics

Volumn 33, Issue 1, 2009, Pages 29-39

  Spiegel, Martin ^a   Hahn, Dieter A ^a   Daum, Volker ^a   Wasza, Jakob ^a   Hornegger, Joachim ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Active shape model; Kidney segmentation; Mesh parameterization; Minimum description Length; Non rigid registration; Priors for segmentation

Indexed keywords

COMPUTERIZED TOMOGRAPHY; FACE RECOGNITION; IMAGE PROCESSING; IMAGE REGISTRATION; IMAGE SEGMENTATION; METAL WORKING SHAPERS; REAL TIME SYSTEMS;

ACTIVE SHAPE MODEL; KIDNEY SEGMENTATION; MESH PARAMETERIZATION; MINIMUM DESCRIPTION LENGTH; NON-RIGID REGISTRATION; PRIORS FOR SEGMENTATION;

THREE DIMENSIONAL;

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; RENOGRAPHY; THREE DIMENSIONAL IMAGING;

ANATOMY, CROSS-SECTIONAL; ARTIFICIAL INTELLIGENCE; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; KIDNEY; MALE; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 57449105397     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2008.10.002     Document Type: Article

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