Literature DB >> 10938782

Calibration of near-infrared frequency-domain tissue spectroscopy for absolute absorption coefficient quantitation in neonatal head-simulating phantoms.

B W Pogue1, K D Paulsen, C Abele, H Kaufman.   

Abstract

Frequency-domain tissue spectroscopy is a method to measure the absolute absorption coefficient of bulk tissues, assuming that a representative model can be found to recover the optical properties from measurements. While reliable methods exist to calculate absorption coefficients from source-detector measurements less than a few centimeters apart along a flat tissue volume, it is less obvious what methods can be used for transmittance through the larger tissue volumes typically associated with neonatal cerebral monitoring. In this study we compare the use of multiple distance frequency-domain measurements processed with (i) a modified Beer-Lambert law method, (ii) an analytic infinite-medium diffusion theory expression, and (iii) a numerical finite element solution of the diffusion equation, with the goal of recovering the absolute absorption coefficient of the medium. Based upon our observations, the modified Beer-Lambert method provides accurate absolute changes in the absorption coefficient, while analytic infinite-medium diffusion theory solutions or finite element-based numerical solutions can be used to calculate the absolute absorption coefficient, assuming that the data can be measured at multiple source-detector distances. We recommend that the infinite-medium multi-distance method or the finite element method be used across large tissue regions for calculation of the absolute absorption coefficient using frequency-domain near-infrared measurements at multiple positions along the head.

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Year:  2000        PMID: 10938782     DOI: 10.1117/1.429985

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


  8 in total

1.  Regional and hemispheric asymmetries of cerebral hemodynamic and oxygen metabolism in newborns.

Authors:  Pei-Yi Lin; Nadège Roche-Labarbe; Mathieu Dehaes; Angela Fenoglio; P Ellen Grant; Maria Angela Franceschini
Journal:  Cereb Cortex       Date:  2012-02-10       Impact factor: 5.357

Review 2.  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

3.  Quantitative photoacoustic imaging: correcting for heterogeneous light fluence distributions using diffuse optical tomography.

Authors:  Adam Q Bauer; Ralph E Nothdurft; Todd N Erpelding; Lihong V Wang; Joseph P Culver
Journal:  J Biomed Opt       Date:  2011-09       Impact factor: 3.170

4.  A digital x-ray tomosynthesis coupled near infrared spectral tomography system for dual-modality breast imaging.

Authors:  Venkataramanan Krishnaswamy; Kelly E Michaelsen; Brian W Pogue; Steven P Poplack; Ian Shaw; Ken Defrietas; Ken Brooks; Keith D Paulsen
Journal:  Opt Express       Date:  2012-08-13       Impact factor: 3.894

5.  Performance assessment of MRI guided continuous wave near-infrared spectral tomography for breast imaging.

Authors:  Jinchao Feng; Shudong Jiang; Brian W Pogue; Keith D Paulsen
Journal:  Biomed Opt Express       Date:  2021-11-18       Impact factor: 3.732

6.  GPU-Accelerated Finite Element Method for Modelling Light Transport in Diffuse Optical Tomography.

Authors:  Martin Schweiger
Journal:  Int J Biomed Imaging       Date:  2011-10-16

7.  Deep learning-based method to accurately estimate breast tissue optical properties in the presence of the chest wall.

Authors:  Menghao Zhang; Shuying Li; Yun Zou; Quing Zhu
Journal:  J Biomed Opt       Date:  2021-10       Impact factor: 3.758

8.  Automatic and robust calibration of optical detector arrays for biomedical diffuse optical spectroscopy.

Authors:  Michael A Mastanduno; Shudong Jiang; Roberta Diflorio-Alexander; Brian W Pogue; Keith D Paulsen
Journal:  Biomed Opt Express       Date:  2012-08-31       Impact factor: 3.732

  8 in total

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