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Fast Three-Material Modeling With 
Triple Arch Projection for Electronic 
Cleansing in CTC 
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 $(L_{rm ST/TR})$, and the T-junction are 
first segmented. Subsequently, the material fraction of ST for each voxel in $L_{rm 
ST/TR}$ and the T-junction is determined. Two-material fractions of the voxels in$L_{rm 
ST/TR}$ 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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Fast three material modeling with triple arch projection for electronic cleansing in ctc

  • 1. Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTC 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 $(L_{rm ST/TR})$, and the T-junction are first segmented. Subsequently, the material fraction of ST for each voxel in $L_{rm ST/TR}$ and the T-junction is determined. Two-material fractions of the voxels in$L_{rm ST/TR}$ 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.