Literature DB >> 20813635

MR water quantitative priors improves the accuracy of optical breast imaging.

Colin M Carpenter1, Brian W Pogue, Shudong Jiang, Jia Wang, Brian A Hargreaves, Rebecca Rakow-Penner, Bruce L Daniel, Keith D Paulsen.   

Abstract

Magnetic resonance (MR) guided optical breast imaging is a promising modality to improve the specificity of breast imaging, because it provides high-resolution quantitative maps of total hemoglobin, oxygen saturation, water content, and optical scattering. These properties have been shown to distinguish malignant from benign lesions. However, the optical detection hardware required for deep tissue imaging has poor spectral sensitivity which limits accurate water quantification; this reduces the accuracy of hemoglobin quantification. We present a methodology to improve optical quantification by utilizing the ability of Dixon MR imaging to quantitatively estimate water and fat; this technique effectively reduces optical crosstalk between water and oxyhemoglobin. The techniques described in this paper reduce hemoglobin quantification error by as much as 38%, as shown in a numerical phantom, and an experimental phantom. Error is reduced by as much 20% when imperfect MR water quantification is given. These techniques may also increase contrast between diseased and normal tissue, as shown in breast tissue in vivo. It is also shown that using these techniques may permit fewer wavelengths to be used with similar quantitative accuracy, enabling higher temporal resolution. In addition, it is shown that these techniques can improve the ability of MRI to quantify water in the presence of bias in the Dixon water/fat separation.

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Year:  2010        PMID: 20813635      PMCID: PMC3774063          DOI: 10.1109/TMI.2010.2071394

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  41 in total

1.  Comparison of water and lipid content measurements using diffuse optical spectroscopy and MRI in emulsion phantoms.

Authors:  S Merritt; G Gulsen; G Chiou; Y Chu; C Deng; A E Cerussi; A J Durkin; B J Tromberg; O Nalcioglu
Journal:  Technol Cancer Res Treat       Date:  2003-12

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.  Diffuse optical tomography with spectral constraints and wavelength optimization.

Authors:  Alper Corlu; Regine Choe; Turgut Durduran; Kijoon Lee; Martin Schweiger; Simon R Arridge; Elizabeth M C Hillman; Arjun G Yodh
Journal:  Appl Opt       Date:  2005-04-10       Impact factor: 1.980

5.  Imaging breast adipose and fibroglandular tissue molecular signatures by using hybrid MRI-guided near-infrared spectral tomography.

Authors:  Ben Brooksby; Brian W Pogue; Shudong Jiang; Hamid Dehghani; Subhadra Srinivasan; Christine Kogel; Tor D Tosteson; John Weaver; Steven P Poplack; Keith D Paulsen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

6.  Weight-matrix structured regularization provides optimal generalized least-squares estimate in diffuse optical tomography.

Authors:  Phaneendra K Yalavarthy; Brian W Pogue; Hamid Dehghani; Keith D Paulsen
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

7.  Multiecho MR imaging and proton MR spectroscopy for liver fat quantification.

Authors:  Boris Guiu; Romaric Loffroy; Jean-Pierre Cercueil; Denis Krause
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

8.  Quantitative spectroscopic determination of hemoglobin concentration and saturation in a turbid medium: analysis of the effect of water absorption.

Authors:  M A Franceschini; S Fantini; A E Cerussi; B B Barbieri; B Chance; E Gratton
Journal:  J Biomed Opt       Date:  1997-04       Impact factor: 3.170

9.  In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy.

Authors:  Albert Cerussi; Natasha Shah; David Hsiang; Amanda Durkin; John Butler; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2006 Jul-Aug       Impact factor: 3.170

10.  Time-domain optical mammography SoftScan: initial results.

Authors:  Xavier Intes
Journal:  Acad Radiol       Date:  2005-08       Impact factor: 3.173

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  3 in total

Review 1.  Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value.

Authors:  Brian W Pogue; Scott C Davis; Frederic Leblond; Michael A Mastanduno; Hamid Dehghani; Keith D Paulsen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.226

2.  Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance.

Authors:  Michael A Mastanduno; Junqing Xu; Fadi El-Ghussein; Shudong Jiang; Hong Yin; Yan Zhao; Kelly E Michaelsen; Ke Wang; Fang Ren; Brian W Pogue; Keith D Paulsen
Journal:  Biomed Opt Express       Date:  2014-08-22       Impact factor: 3.732

3.  Collagen Complexity Spatially Defines Microregions of Total Tissue Pressure in Pancreatic Cancer.

Authors:  Michael D Nieskoski; Kayla Marra; Jason R Gunn; P Jack Hoopes; Marvin M Doyley; Tayyaba Hasan; B Stuart Trembly; Brian W Pogue
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

  3 in total

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