Segmentation of tubular structures in 3D images using a combination of the hough transform and a Kalman filter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2191, Issue , 2001, Pages 406-413

  Behrens, Thorsten ^a   Rohr, Karl ^b   Stiehl, H Siegfried ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

^b International University in Germany   (Germany)

Author keywords

3D medical images; 3D tubular structure segmentation; Kalman filter based tracking; Minimal user interaction; Randomized Hough transform (RHT)

Indexed keywords

FEATURE EXTRACTION; HOUGH TRANSFORMS; IMAGE SEGMENTATION; MEDICAL IMAGING; OBJECT DETECTION;

3D MEDICAL IMAGE; ANATOMICAL STRUCTURES; COARSE SEGMENTATION; DISCRETE KALMAN FILTERS; RANDOMIZED HOUGH TRANSFORM; SEGMENTATION OF TUBULAR STRUCTURES; TUBULAR STRUCTURES; USER INTERACTION;

KALMAN FILTERS;

EID: 80053547974     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45404-7_54     Document Type: Conference Paper

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