Haustral loop extraction for CT colonography using geodesics
نویسندگان
چکیده
منابع مشابه
Endoluminal surface registration for CT colonography using haustral fold matchingq
Computed Tomographic (CT) colonography is a technique used for the detection of bowel cancer or potentially precancerous polyps. The procedure is performed routinely with the patient both prone and supine to differentiate fixed colonic pathology from mobile faecal residue. Matching corresponding locations is difficult and time consuming for radiologists due to colonic deformations that occur du...
متن کاملEndoluminal surface registration for CT colonography using haustral fold matching☆
Computed Tomographic (CT) colonography is a technique used for the detection of bowel cancer or potentially precancerous polyps. The procedure is performed routinely with the patient both prone and supine to differentiate fixed colonic pathology from mobile faecal residue. Matching corresponding locations is difficult and time consuming for radiologists due to colonic deformations that occur du...
متن کاملAutomatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model
CT colonography is routinely performed with the patient prone and supine to differentiate fixed colonic pathology from mobile faecal residue. We propose a novel method to automatically establish correspondence. Haustral folds are detected using a graph cut method applied to a surface curvature-based metric, where image patches are generated using endoluminal CT colonography surface rendering. T...
متن کاملImproving initial polyp candidate extraction for CT colonography.
Reducing the number of false positives (FPs) as much as possible is a challenging task for computer-aided detection (CAD) of colonic polyps. As part of a typical CAD pipeline, an accurate and robust process for segmenting initial polyp candidates (IPCs) will significantly benefit the successive FP reduction procedures, such as feature-based classification of false and true positives (TPs). In t...
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ژورنال
عنوان ژورنال: International Journal of Computer Assisted Radiology and Surgery
سال: 2016
ISSN: 1861-6410,1861-6429
DOI: 10.1007/s11548-016-1497-x