Literature DB >> 19841515

Dynamic contrast-enhanced diffuse optical tomography (DCE-DOT): experimental validation with a dynamic phantom.

Mehmet Burcin Unlu1, Yuting Lin, Gultekin Gulsen.   

Abstract

Dynamic contrast-enhanced diffuse optical tomography (DCE-DOT) can provide spatially resolved enhancement kinetics of an optical contrast agent. We undertook a systematic phantom study to evaluate the effects of the geometrical parameters such as the depth and size of the inclusion as well as the optical parameters of the background on the recovered enhancement kinetics of the most commonly used optical contrast agent, indocyanine green (ICG). For this purpose a computer-controlled dynamic phantom was constructed. An ICG-intralipid-water mixture was circulated through the inclusions while the DCE-DOT measurements were acquired with a temporal resolution of 16 s. The same dynamic study was repeated using inclusions of different sizes located at different depths. In addition to this, the effect of non-scattering regions was investigated by placing a second inclusion filled with water in the background. The phantom studies confirmed that although the peak enhancement varied substantially for each case, the recovered injection and dilution rates obtained from the percentage enhancement maps agreed within 15% independent of not only the depth and the size of the inclusion but also the presence of a non-scattering region in the background. Although no internal structural information was used in these phantom studies, it may be necessary to use it for small objects buried deep in tissue. However, the different contrast mechanisms of optical and other imaging modalities as well as imperfect co-registration between both modalities may lead to potential errors in the structural a priori. Therefore, the effect of erroneous selection of structural priors was investigated as the final step. Again, the injection and dilution rates obtained from the percentage enhancement maps were also immune to the systematic errors introduced by erroneous selection of the structural priors, e.g. choosing the diameter of the inclusion 20% smaller increased the peak enhancement 60% but changed the injection and dilution rates only less than 10%.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19841515      PMCID: PMC3919674          DOI: 10.1088/0031-9155/54/21/019

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  27 in total

Review 1.  Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy.

Authors:  B J Tromberg; N Shah; R Lanning; A Cerussi; J Espinoza; T Pham; L Svaasand; J Butler
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement.

Authors:  V Ntziachristos; A G Yodh; M Schnall; B Chance
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-14       Impact factor: 11.205

3.  Combining near-infrared tomography and magnetic resonance imaging to study in vivo breast tissue: implementation of a Laplacian-type regularization to incorporate magnetic resonance structure.

Authors:  Ben Brooksby; Shudong Jiang; Hamid Dehghani; Brian W Pogue; Keith D Paulsen; John Weaver; Christine Kogel; Steven P Poplack
Journal:  J Biomed Opt       Date:  2005 Sep-Oct       Impact factor: 3.170

4.  Design and implementation of dynamic near-infrared optical tomographic imaging instrumentation for simultaneous dual-breast measurements.

Authors:  Christoph H Schmitz; David P Klemer; Rosemarie Hardin; Michael S Katz; Yaling Pei; Harry L Graber; Mikhail B Levin; Rita D Levina; Nelson A Franco; William B Solomon; Randall L Barbour
Journal:  Appl Opt       Date:  2005-04-10       Impact factor: 1.980

5.  A simulation study of the variability of indocyanine green kinetics and using structural a priori information in dynamic contrast enhanced diffuse optical tomography (DCE-DOT).

Authors:  Mehmet Burcin Unlu; Ozlem Birgul; Gultekin Gulsen
Journal:  Phys Med Biol       Date:  2008-05-27       Impact factor: 3.609

6.  An improved design for a stable and reproducible phantom material for use in near-infrared spectroscopy and imaging.

Authors:  M Firbank; M Oda; D T Delpy
Journal:  Phys Med Biol       Date:  1995-05       Impact factor: 3.609

7.  Binding properties of indocyanine green in human blood.

Authors:  S Yoneya; T Saito; Y Komatsu; I Koyama; K Takahashi; J Duvoll-Young
Journal:  Invest Ophthalmol Vis Sci       Date:  1998-06       Impact factor: 4.799

8.  Simultaneous in vivo dynamic magnetic resonance-diffuse optical tomography for small animal imaging.

Authors:  Mehmet Burcin Unlu; Yuting Lin; Ozlem Birgul; Orhan Nalcioglu; Gultekin Gulsen
Journal:  J Biomed Opt       Date:  2008 Nov-Dec       Impact factor: 3.170

9.  Three-dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans.

Authors:  Alper Corlu; Regine Choe; Turgut Durduran; Mark A Rosen; Martin Schweiger; Simon R Arridge; Mitchell D Schnall; Arjun G Yodh
Journal:  Opt Express       Date:  2007-05-28       Impact factor: 3.894

10.  In vivo quantification of optical contrast agent dynamics in rat tumors by use of diffuse optical spectroscopy with magnetic resonance imaging coregistration.

Authors:  David J Cuccia; Frederic Bevilacqua; Anthony J Durkin; Sean Merritt; Bruce J Tromberg; Gultekin Gulsen; Hon Yu; Jun Wang; Orhan Nalcioglu
Journal:  Appl Opt       Date:  2003-06-01       Impact factor: 1.980

View more
  3 in total

1.  Tumor characterization in small animals using magnetic resonance-guided dynamic contrast enhanced diffuse optical tomography.

Authors:  Yuting Lin; Dave Thayer; Orhan Nalcioglu; Gultekin Gulsen
Journal:  J Biomed Opt       Date:  2011-10       Impact factor: 3.170

2.  Dual-contrast dynamic MRI-DOT for small animal imaging.

Authors:  David Thayer; Mehmet Burcin Unlu; Yuting Lin; Kevin Yan; Orhan Nalcioglu; Gultekin Gulsen
Journal:  Technol Cancer Res Treat       Date:  2010-02

3.  Temporal Unmixing of Dynamic Fluorescent Images by Blind Source Separation Method with a Convex Framework.

Authors:  Duofang Chen; Jimin Liang; Kui Guo
Journal:  Comput Math Methods Med       Date:  2015-05-24       Impact factor: 2.238

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.