Title :
Digital subtraction bowel cleansing for CT colonography using morphological and linear filtration methods
Author :
Zalis, Michael E. ; Perumpillichira, James ; Hahn, Peter F.
Author_Institution :
Dept. of Radiol., Massachusetts Gen. Hosp., Boston, MA, USA
Abstract :
We describe a method to perform postacquisition processing of computed tomography colonography (virtual colonoscopy) datasets that results in electronic removal of opacified, ingested bowel contents while reconstructing natural appearing boundaries of colon lumen and thereby permitting 3D (three-dimensional) visual analyses of the resulting colon models.
Keywords :
computerised tomography; image reconstruction; image segmentation; medical image processing; colon lumen; computed tomography colonography; digital subtraction bowel cleansing; linear filtration method; morphological filtration method; opacified ingested bowel contents; postacquisition processing; three-dimensional visual analyses; virtual colonoscopy; Cancer; Colon; Colonic polyps; Colonography; Computed tomography; Filtration; Image reconstruction; Image segmentation; Pixel; Virtual colonoscopy; Computed tomography; segmentation; virtual colonoscopy; Aged; Algorithms; Artificial Intelligence; Colonography, Computed Tomographic; Contrast Media; Female; Humans; Imaging, Three-Dimensional; Linear Models; Male; Middle Aged; Models, Biological; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2004.826050
