The development of an automatically produced cholangiography procedure using the reconstruction of portal-phase multidetector-row computed tomography images: preliminary experience
- 213 Downloads
Fusion angiography using reconstructed multidetector-row computed tomography (MDCT) images, and cholangiography using reconstructed images from MDCT with a cholangiographic agent include an anatomical gap due to the different periods of MDCT scanning. To conquer such gaps, we attempted to develop a cholangiography procedure that automatically reconstructs a cholangiogram from portal-phase MDCT images.
The automatically produced cholangiography procedure utilized an original software program that was developed by the Graduate School of Information Science, Nagoya University. This program structured 5 candidate biliary tracts, and automatically selected one as the candidate for cholangiography. The clinical value of the automatically produced cholangiography procedure was estimated based on a comparison with manually produced cholangiography.
Automatically produced cholangiograms were reconstructed for 20 patients who underwent MDCT scanning before biliary drainage for distal biliary obstruction. The procedure showed the ability to extract the 5 main biliary branches and the 21 subsegmental biliary branches in 55 and 25 % of the cases, respectively. The extent of aberrant connections and aberrant extractions outside the biliary tract was acceptable. Among all of the cholangiograms, 5 were clinically applied with no correction, 8 were applied with modest improvements, and 3 produced a correct cholangiography before automatic selection.
Although our procedure requires further improvement based on the analysis of additional patient data, it may represent an alternative to direct cholangiography in the future.
KeywordsCholangiography Portal-phase images Multidetector-row computed tomography Automatically produced cholangiography
Compliance with ethical standards
Conflict of interest
The authors declare no conflicts of interest in association with this study.
- 13.DICOM homepage. http://dicom.nema.org/.
- 14.Koga K, Hayashi Y, Hirose T, Oda T, Kitasaka T, Igami T, et al. Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis. SPIE Medical Imaging 2014; Proceeding. doi: 10.1117/12.2043347.
- 17.Nimura Y, Deguchi D, Kitasaka T, Mori K, Suenaga Y. PLUTO: a common platform for computer-aided diagnosis. Med Imaging Technol. 2008;26:187–91 (in Japanese).Google Scholar