Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTC
- Authors
- Lee, Hyunna; Lee, Jeongjin; Kim, Bohyoung; Kim, Se Hyung; Shin, Yeong-Gil
- Issue Date
- Jul-2014
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Computed tomographic colonography (CTC); electronic cleansing (EC); fold preservation; material fraction; T-junction
- Citation
- IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.61, no.7, pp.2102 - 2111
- Journal Title
- IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Volume
- 61
- Number
- 7
- Start Page
- 2102
- End Page
- 2111
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10004
- DOI
- 10.1109/TBME.2014.2313888
- ISSN
- 0018-9294
- 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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