Literature DB >> 21198151

Image guided near-infrared spectroscopy of breast tissue in vivo using boundary element method.

Subhadra Srinivasan1, Colin M Carpenter, Hamid R Ghadyani, Senate J Taka, Peter A Kaufman, Roberta M Diflorio-Alexander, Wendy A Wells, Brian W Pogue, Keith D Paulsen.   

Abstract

We demonstrate quantitative functional imaging using image-guided near-infrared spectroscopy (IG-NIRS) implemented with the boundary element method (BEM) for reconstructing 3-D optical property estimates in breast tissue in vivo. A multimodality MRI-NIR system was used to collect measurements of light reflectance from breast tissue. The BEM was used to model light propagation in 3-D based only on surface discretization in order to reconstruct quantitative values of total hemoglobin (HbT), oxygen saturation, water, and scatter. The technique was validated in experimental measurements from heterogeneous breast-shaped phantoms with known values and applied to a total of seven subjects comprising six healthy individuals and one participant with cancer imaged at two time points during neoadjuvant chemotherapy. Using experimental measurements from a heterogeneous breast phantom, BEM for IG-NIRS produced accurate values for HbT in the inclusion with a <3% error. Healthy breast tissues showed higher HbT and water in fibroglandular tissue than in adipose tissue. In a subject with cancer, the tumor showed higher HbT compared to the background. HbT in the tumor was reduced by 9 μM during treatment. We conclude that 3-D MRI-NIRS with BEM provides quantitative and functional characterization of breast tissue in vivo through measurement of hemoglobin content. The method provides potentially complementary information to DCE-MRI for tumor characterization.

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Year:  2010        PMID: 21198151      PMCID: PMC3017573          DOI: 10.1117/1.3499419

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  39 in total

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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.  Diffuse optical tomography with spectral constraints and wavelength optimization.

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Journal:  Appl Opt       Date:  2005-04-10       Impact factor: 1.980

3.  MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.

Authors:  Savannah C Partridge; Jessica E Gibbs; Ying Lu; Laura J Esserman; Debasish Tripathy; Dulcy S Wolverton; Hope S Rugo; E Shelley Hwang; Cheryl A Ewing; Nola M Hylton
Journal:  AJR Am J Roentgenol       Date:  2005-06       Impact factor: 3.959

4.  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

5.  Comparison of two- and three-dimensional reconstruction methods in optical tomography.

Authors:  M Schweiger; S R Arridge
Journal:  Appl Opt       Date:  1998-11-01       Impact factor: 1.980

Review 6.  Imaging breast cancer.

Authors:  Lia Bartella; Clare S Smith; D David Dershaw; Laura Liberman
Journal:  Radiol Clin North Am       Date:  2007-01       Impact factor: 2.303

7.  Breast cancer detection based on incremental biochemical and physiological properties of breast cancers: a six-year, two-site study.

Authors:  Britton Chance; Shoko Nioka; Jun Zhang; Emily F Conant; Emily Hwang; Susanne Briest; Susan G Orel; Mitchell D Schnall; Brian J Czerniecki
Journal:  Acad Radiol       Date:  2005-08       Impact factor: 3.173

8.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

9.  Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results.

Authors:  Anwar R Padhani; Carmel Hayes; Laura Assersohn; Trevor Powles; Andreas Makris; John Suckling; Martin O Leach; Janet E Husband
Journal:  Radiology       Date:  2006-03-16       Impact factor: 11.105

10.  Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition.

Authors:  Mieke Kriege; Cecile T M Brekelmans; Carla Boetes; Peter E Besnard; Harmine M Zonderland; Inge Marie Obdeijn; Radu A Manoliu; Theo Kok; Hans Peterse; Madeleine M A Tilanus-Linthorst; Sara H Muller; Sybren Meijer; Jan C Oosterwijk; Louk V A M Beex; Rob A E M Tollenaar; Harry J de Koning; Emiel J T Rutgers; Jan G M Klijn
Journal:  N Engl J Med       Date:  2004-07-29       Impact factor: 91.245

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  3 in total

1.  Tissue-mimicking phantom materials with tunable optical properties suitable for assessment of diffuse reflectance spectroscopy during electrosurgery.

Authors:  Sara Azizian Amiri; Pieter Van Berckel; Marco Lai; Jenny Dankelman; Benno H W Hendriks
Journal:  Biomed Opt Express       Date:  2022-04-04       Impact factor: 3.562

Review 2.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

3.  Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging.

Authors:  Jeffrey M Cochran; David R Busch; Li Lin; David L Minkoff; Martin Schweiger; Simon Arridge; Arjun G Yodh
Journal:  J Biomed Opt       Date:  2019-01       Impact factor: 3.170

  3 in total

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