NDLI: Mesh optimization for Monte Carlo based optical tomography

Content Provider	IEEE Xplore Digital Library
Author	Edmans, A. Intes, X. Smith, C.
Copyright Year	2014
Description	Author affiliation: Sci. Comput. Res. Center, Rensselaer Polytech. Inst., Troy, NY, USA (Smith, C.) \|\| Dept. of Biomed. Eng., Rensselaer Polytech. Inst., Troy, NY, USA (Edmans, A.; Intes, X.)
Abstract	Fluorescence Molecular Tomography aims to reconstruct the 3D distribution of fluorescent markers in bio-tissues based on 2D surface measurements of emitted photons. This technique requires an accurate model of light propagation, the gold standard of which is created by the Monte Carlo (MC) method. One drawback of MC is the computational burden associated with the need to simulate large packet of photons to sample the volume to be imaged with accuracy. Recent developments in MC formulation and massively parallel computing geared towards optical tomogrpahy have allowed to alleviate this issue. Especially, mesh based MC techniques have shown favorable computational costs compared to voxel-based MC. Herein, we investigate the potential of mesh optimization strategies for computationally efficient and accurate Monte Carlo based optical tomography. Using a mouse model created from μCT data and average murine optical properties, we investigate the potential of an iterative mesh refinement strategy. Performances of the method are evaluated in the image space. Our preliminary results indicate that accuracy improves over several iterations when mesh refinement is employed.
Starting Page	1
Ending Page	2
File Size	2359163
Page Count	2
File Format	PDF
ISBN	9781479937288
DOI	10.1109/NEBEC.2014.6972782
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical imaging Image reconstruction Biomedical optical imaging Tomography Optical sensors Fluorescence Optimization preclinical imaging Monte Carlo optical tomography mesh optimization fluorescence molecular tomogrpahy fluorescence
Content Type	Text
Resource Type	Article

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

Mesh Optimization for Monte Carlo-Based Optical Tomography

High-Resolution Mesoscopic Fluorescence Molecular Tomography Based on Compressive Sensing

A primal-dual reconstruction algorithm for fluorescence and bioluminescence tomography

Mesh-based Monte Carlo method for time-gated optical tomography

Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography

Fluorescence diffuse optical image reconstruction with a priori information

An application of perturbation Monte Carlo in optical tomography

Mesh Optimization for Monte Carlo-Based Optical Tomography

Virtual source patterns for fluorescence tomography

Mesh optimization for Monte Carlo based optical tomography

Similar Documents

Mesh Optimization for Monte Carlo-Based Optical Tomography

High-Resolution Mesoscopic Fluorescence Molecular Tomography Based on Compressive Sensing

A primal-dual reconstruction algorithm for fluorescence and bioluminescence tomography

Mesh-based Monte Carlo method for time-gated optical tomography

Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography

Fluorescence diffuse optical image reconstruction with a priori information

An application of perturbation Monte Carlo in optical tomography

Mesh Optimization for Monte Carlo-Based Optical Tomography

Virtual source patterns for fluorescence tomography

Mesh optimization for Monte Carlo based optical tomography