Literature DB >> 24686232

Fast three-material modeling with triple arch projection for electronic cleansing in CTC.

Hyunna Lee, Jeongjin Lee, Bohyoung Kim, Se Hyung Kim, Yeong-Gil Shin.   

Abstract

In this paper, we propose a fast three-material modeling for electronic cleansing (EC) in computed tomographic colonography. Using a triple arch projection, our three-material modeling provides a very quick estimate of the three-material fractions to remove ridge-shaped artifacts at the T-junctions where air, soft-tissue (ST), and tagged residues (TRs) meet simultaneously. In our approach, colonic components including air, TR, the layer between air and TR, the layer between ST and TR (L(ST/TR)), and the T-junction are first segmented. Subsequently, the material fraction of ST for each voxel in L(ST/TR) and the T-junction is determined. Two-material fractions of the voxels in L(ST/TR) are derived based on a two-material transition model. On the other hand, three-material fractions of the voxels in the T-junction are estimated based on our fast three-material modeling with triple arch projection. Finally, the CT density value of each voxel is updated based on our fold-preserving reconstruction model. Experimental results using ten clinical datasets demonstrate that the proposed three-material modeling successfully removed the T-junction artifacts and clearly reconstructed the whole colon surface while preserving the submerged folds well. Furthermore, compared with the previous three-material transition model, the proposed three-material modeling resulted in about a five-fold increase in speed with the better preservation of submerged folds and the similar level of cleansing quality in T-junction regions.

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Year:  2014        PMID: 24686232     DOI: 10.1109/TBME.2014.2313888

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  1 in total

1.  Electronic cleansing in computed tomography colonography using AT layer identification with integration of gradient directional second derivative and material fraction model.

Authors:  Krisorn Chunhapongpipat; Ratinan Boonklurb; Bundit Chaopathomkul; Sirod Sirisup; Rajalida Lipikorn
Journal:  BMC Med Imaging       Date:  2017-09-04       Impact factor: 1.930

  1 in total

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