NDLI: Fold-Preserving Electronic Cleansing Using a Reconstruction Model Integrating Material Fractions and Structural Responses

Content Provider	IEEE Xplore Digital Library
Author	Hyunna Lee Bohyoung Kim Jeongjin Lee Se Hyung Kim Yeong-Gil Shin Tae-Gong Kim
Copyright Year	1964
Abstract	In this paper, we propose an electronic cleansing method using a novel reconstruction model for removing tagged materials (TMs) in computed tomography (CT) images. To address the partial volume (PV) and pseudoenhancement (PEH) effects concurrently, material fractions and structural responses are integrated into a single reconstruction model. In our approach, colonic components including air, TM, an interface layer between air and TM, and an interface layer between soft-tissue (ST) and TM (IL_ST/TM ) are first segmented. For each voxel in IL_ST/TM, the material fractions of ST and TM are derived using a two-material transition model, and the structural response to identify the folds submerged in the TM is calculated by the rut-enhancement function based on the eigenvalue signatures of the Hessian matrix. Then, the CT density value of each voxel in IL_ST/TM is reconstructed based on both the material fractions and structural responses. The material fractions remove the aliasing artifacts caused by a PV effect in IL_ST/TM effectively while the structural responses avoid the erroneous cleansing of the submerged folds caused by the PEH effect. Experimental results using ten clinical datasets demonstrated that the proposed method showed higher cleansing quality and better preservation of submerged folds than the previous method, which was validated by the higher mean density values and fold preservation rates for manually segmented fold regions.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	1076811
Starting Page	1546
Ending Page	1555
File Format	PDF
ISSN	00189294
Volume Number	60
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Materials Computed tomography Atmospheric modeling Image reconstruction Eigenvalues and eigenfunctions Colon Educational institutions structural response Electronic cleansing (EC) fold preservation material fraction
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTC

Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon Tagging

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

Mosaic Decomposition: An Electronic Cleansing Method for Inhomogeneously Tagged Regions in Noncathartic CT Colonography

Electronic Cleansing for Computed Tomography (CT) Colonography Using a Scale-Invariant Three-Material Model

Ramp-Preserving Denoising for Conductivity Image Reconstruction in Magnetic Resonance Electrical Impedance Tomography

Iterative Reconstruction for X-Ray Computed Tomography Using Prior-Image Induced Nonlocal Regularization

Computational Analysis and Improvement of SIRT

Three-dimensional edge-preserving image enhancement for computed tomography

Fold-Preserving Electronic Cleansing Using a Reconstruction Model Integrating Material Fractions and Structural Responses

Similar Documents

Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTC

Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon Tagging

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

Mosaic Decomposition: An Electronic Cleansing Method for Inhomogeneously Tagged Regions in Noncathartic CT Colonography

Electronic Cleansing for Computed Tomography (CT) Colonography Using a Scale-Invariant Three-Material Model

Ramp-Preserving Denoising for Conductivity Image Reconstruction in Magnetic Resonance Electrical Impedance Tomography

Iterative Reconstruction for X-Ray Computed Tomography Using Prior-Image Induced Nonlocal Regularization

Computational Analysis and Improvement of SIRT

Three-dimensional edge-preserving image enhancement for computed tomography

Fold-Preserving Electronic Cleansing Using a Reconstruction Model Integrating Material Fractions and Structural Responses