2006
DOI: 10.1007/s00261-006-9169-x
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Multidetector CT colonoscopy: evaluation of the perspective-filet view virtual colon dissection technique for the detection of elevated lesions

Abstract: Our results showed that there is a significant reduction in the reading time using the colon dissection visualization technique without detriment to the detection rate, that is, competitive to conventional virtual colonoscopy interpretation results.

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Cited by 20 publications
(14 citation statements)
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“…Sometimes it results in hardly readable studies, but an average interpretation time for virtual colonoscopy is quite long anyway-around 20 min [8]. …”
Section: Uniform Image Complexitymentioning
confidence: 99%
“…Sometimes it results in hardly readable studies, but an average interpretation time for virtual colonoscopy is quite long anyway-around 20 min [8]. …”
Section: Uniform Image Complexitymentioning
confidence: 99%
“…1 b, Movie 1), review of the entire colon is achieved with unidirectional navigation. Unlike other panoramic display methods that are hampered by varying degrees of geometric distortion stemming from straightening of curved colon [10,12,17], the band view, which does not use a colonic straightening process, does not produce such geometric distortion.…”
Section: Image Processing and Review Of Ctcmentioning
confidence: 96%
“…As time-efficient 3D review methods, panoramic endoluminal display techniques, such as the virtual colon dissection and the filet view [10][11][12][13][14], have been introduced. These techniques display the entire 360°colonic inner circumference as if the colon had been opened with a longitudinal dissection [3,13,14].…”
mentioning
confidence: 99%
“…On 3D filet, the colon is virtually unrolled allowing a 420°visualisation (with 30°overlap at the bottom and the top) of the colonic inner surface using angulated projection rays [20]. For each patient, four low-dose and four standard-dose 3D filet images, corresponding to the four anatomical levels where image noise was measured, were saved.…”
Section: Image Noise Measurementsmentioning
confidence: 99%