Title :
Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTC
Author :
Hyunna Lee ; Jeongjin Lee ; Bohyoung Kim ; Se Hyung Kim ; Yeong-Gil Shin
Author_Institution :
Integrative Cardiovascular Imaging Res. Center, Yonsei Univ., Seoul, South Korea
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 (LST/TR), and the T-junction are first segmented. Subsequently, the material fraction of ST for each voxel in LST/TR and the T-junction is determined. Two-material fractions of the voxels in LST/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.
Keywords :
biological organs; biological tissues; computerised tomography; image reconstruction; image segmentation; medical image processing; CT density value; T-junction segmentation; cleansing quality; clinical datasets; computed tomographic colonography; electronic cleansing; fast three-material modeling; fold-preserving reconstruction model; ridge-shaped artifact removal; soft-tissue; tagged residues; three-material fractions; triple arch projection; two-material fractions; two-material transition model; whole colon surface; Atmospheric modeling; Biomedical measurement; Colon; Computational modeling; Computed tomography; Educational institutions; Materials; Computed tomographic colonography (CTC); T-junction; electronic cleansing (EC); fold preservation; material fraction;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2014.2313888