Automated multidetector row CT dataset segmentation with an interactive watershed transform (IWT) algorithm: Part 1. Understanding the IWT technique.
Segmentation of volumetric computed tomography (CT) datasets facilitates evaluation of 3D CT angiography renderings, particularly with maximum intensity projection displays. This manuscript describes a novel automated bone editing program that uses an interactive watershed transform (IWT) technique to rapidly extract the skeletal structures from the volume. Advantages of this tool include efficient segmentation of large datasets with minimal need for correction. In the first of this two-part series, the principles of the IWT technique are reviewed, followed by a discussion of clinical utility based on our experience.
Department of Radiology, Johns Hopkins School of Medicine, 601 N. Caroline Street, Baltimore, MD 21287, USA.
David G
DG
Heath
Horst K
HK
Hahn
Pamela T
PT
Johnson
Elliot K
EK
Fishman
D000465:Algorithms; D000792:Angiography / Q000379:methods; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014584:User-Computer Interface; D051598:Whole Body Imaging / Q000379:methods