High-resolution reconstruction of fluorescent inclusions in mouse thorax using anatomically guided sampling and parallel Monte Carlo computing.
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 articleSubject
(110.0113) Imaging through turbid media(170.3010) Image reconstruction techniques
(170.3880) Medical and biological imaging
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https://hdl.handle.net/10161/11254Published Version (Please cite this version)
10.1364/BOE.2.002449Publication Info
(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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Show full item recordScholars@Duke
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
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
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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