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High-resolution reconstruction of fluorescent inclusions in mouse thorax using anatomically guided sampling and parallel Monte Carlo computing.

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Date
2011-09-01
Authors
Zhang, X
Badea, C
Hood, G
Wetzel, A
Qi, Y
Stiles, J
Johnson, GA
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Abstract
We present a method for high-resolution reconstruction of fluorescent images of the mouse thorax. It features an anatomically guided sampling method to retrospectively eliminate problematic data and a parallel Monte Carlo software package to compute the Jacobian matrix for the inverse problem. The proposed method was capable of resolving microliter-sized femtomole amount of quantum dot inclusions closely located in the middle of the mouse thorax. The reconstruction was verified against co-registered micro-CT data. Using the proposed method, the new system achieved significantly higher resolution and sensitivity compared to our previous system consisting of the same hardware. This method can be applied to any system utilizing similar imaging principles to improve imaging performance.
Type
Journal article
Subject
(110.0113) Imaging through turbid media
(170.3010) Image reconstruction techniques
(170.3880) Medical and biological imaging
Permalink
https://hdl.handle.net/10161/11254
Published Version (Please cite this version)
10.1364/BOE.2.002449
Publication Info
Zhang, X; Badea, C; Hood, G; Wetzel, A; Qi, Y; Stiles, J; & Johnson, GA (2011). High-resolution reconstruction of fluorescent inclusions in mouse thorax using anatomically guided sampling and parallel Monte Carlo computing. Biomed Opt Express, 2(9). pp. 2449-2460. 10.1364/BOE.2.002449. Retrieved from https://hdl.handle.net/10161/11254.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Badea

Cristian Tudorel Badea

Professor in Radiology
Our lab's research focus lies primarily in developing novel quantitative imaging systems, reconstruction algorithms and analysis methods.  My major expertise is in preclinical CT. Currently, we are particularly interested in developing novel strategies for spectral CT imaging using nanoparticle-based contrast agents for theranostics (i.e. therapy and diagnostics). We are also engaged in developin
Johnson

G. Allan Johnson

Charles E. Putman University Distinguished Professor of Radiology
Dr. Johnson is the Charles E. Putman University Professor of Radiology, Professor of Physics, and Biomedical Engineering, and Director of the Duke Center for In Vivo Microscopy (CIVM). The CIVM is an NIH/NIBIB national Biomedical Technology Resource Center with a mission to develop novel technologies for preclinical imaging (basic sciences) and apply the technologies to critical biomedical questions. Dr. Johnson was one of the first researchers to bring Paul Lauterbur's vision of magnetic resona
Zhang

Xiaofeng Zhang

Assistant Professor of Radiology
Xiaofeng “Steve” Zhang graduated from Tsinghua University (China) in Chemical Engineering (B.E. in 1997), and received his graduate degrees from University of Illinois at Urbana-Champaign in Electrical Engineering (M.S. in 2003 and Ph.D. in 2005). He studies the interaction of light with biological tissue, with which to noninvasively probe various biomedical phenomena in vivo, and the means to tomographically visualize such phenomena.
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