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

Zhang, X

Badea, C

Hood, G

Wetzel, A

Qi, Y

Stiles, J

Johnson, GA

United States

2015-12-21T10:35:50Z

2011-09-01

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.

http://www.ncbi.nlm.nih.gov/pubmed/21991539

147978

2156-7085

https://hdl.handle.net/10161/11254

eng

The Optical Society

Biomed Opt Express

10.1364/BOE.2.002449

(110.0113) Imaging through turbid media

(170.3010) Image reconstruction techniques

(170.3880) Medical and biological imaging

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

Journal article

Zhang, X|0000-0002-3566-9084

Badea, C|0000-0002-1850-2522

Johnson, GA|0000-0002-7606-5447

http://www.ncbi.nlm.nih.gov/pubmed/21991539

2449

2460

9

Clinical Science Departments

Duke

Duke Cancer Institute

Institutes and Centers

Physics

Radiology

School of Medicine

Trinity College of Arts & Sciences

Published

2