Pathlength distribution of (sub)diffusively reflected light

Dirk J. Faber; Anouk L. Post; Ton G. Van Leeuwen

doi:10.1117/12.2527903

Pathlength distribution of (sub)diffusively reflected light

Dirk J. Faber
, Anouk L. Post
, Ton G. Van Leeuwen

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We evaluate a method to obtain the pathlength distribution of detected photons from reflectance as a function of absorption coefficient through inverse Laplace transformation using curve fitting as a noise reduction technique. We numerically validate our method using Monte Carlo simulations and exact solutions of time-resolved and steady state diffuse reflectance. Knowledge of the path length distribution may be helpful in drafting models for sub-diffuse reflectance measurements such as Single Fiber Reflectance Spectroscopy, whereas moments of the pathlength distribution (mean and variance) may provide diagnostic information by themselves.

Original language	English
Title of host publication	Diffuse Optical Spectroscopy and Imaging VII
Editors	Hamid Dehghani, Heidrun Wabnitz
Publisher	SPIE
ISBN (Electronic)	9781510628410
DOIs	https://doi.org/10.1117/12.2527903
Publication status	Published - 2019
Externally published	Yes
Event	Diffuse Optical Spectroscopy and Imaging VII 2019 - Munich, Germany Duration: 23 Jun 2019 → 25 Jun 2019

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	11074
ISSN (Print)	1605-7422

Conference

Conference	Diffuse Optical Spectroscopy and Imaging VII 2019
Country/Territory	Germany
City	Munich
Period	23/06/19 → 25/06/19

Access to Document

10.1117/12.2527903

Persistent URL (handle)

Persistent link

Cite this

@inproceedings{fbbaaca8faee4cd088927d31bf32fffe,

title = "Pathlength distribution of (sub)diffusively reflected light",

abstract = "We evaluate a method to obtain the pathlength distribution of detected photons from reflectance as a function of absorption coefficient through inverse Laplace transformation using curve fitting as a noise reduction technique. We numerically validate our method using Monte Carlo simulations and exact solutions of time-resolved and steady state diffuse reflectance. Knowledge of the path length distribution may be helpful in drafting models for sub-diffuse reflectance measurements such as Single Fiber Reflectance Spectroscopy, whereas moments of the pathlength distribution (mean and variance) may provide diagnostic information by themselves.",

author = "Faber, \{Dirk J.\} and Post, \{Anouk L.\} and \{Van Leeuwen\}, \{Ton G.\}",

year = "2019",

doi = "10.1117/12.2527903",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Hamid Dehghani and Heidrun Wabnitz",

booktitle = "Diffuse Optical Spectroscopy and Imaging VII",

note = "Diffuse Optical Spectroscopy and Imaging VII 2019 ; Conference date: 23-06-2019 Through 25-06-2019",

}

Faber, DJ, Post, AL & Van Leeuwen, TG 2019, Pathlength distribution of (sub)diffusively reflected light. in H Dehghani & H Wabnitz (eds), Diffuse Optical Spectroscopy and Imaging VII., 110742K, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11074, SPIE, Diffuse Optical Spectroscopy and Imaging VII 2019, Munich, Germany, 23/06/19. https://doi.org/10.1117/12.2527903

Pathlength distribution of (sub)diffusively reflected light. / Faber, Dirk J.; Post, Anouk L.; Van Leeuwen, Ton G.
Diffuse Optical Spectroscopy and Imaging VII. ed. / Hamid Dehghani; Heidrun Wabnitz. SPIE, 2019. 110742K (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11074).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Pathlength distribution of (sub)diffusively reflected light

AU - Faber, Dirk J.

AU - Post, Anouk L.

AU - Van Leeuwen, Ton G.

PY - 2019

Y1 - 2019

N2 - We evaluate a method to obtain the pathlength distribution of detected photons from reflectance as a function of absorption coefficient through inverse Laplace transformation using curve fitting as a noise reduction technique. We numerically validate our method using Monte Carlo simulations and exact solutions of time-resolved and steady state diffuse reflectance. Knowledge of the path length distribution may be helpful in drafting models for sub-diffuse reflectance measurements such as Single Fiber Reflectance Spectroscopy, whereas moments of the pathlength distribution (mean and variance) may provide diagnostic information by themselves.

AB - We evaluate a method to obtain the pathlength distribution of detected photons from reflectance as a function of absorption coefficient through inverse Laplace transformation using curve fitting as a noise reduction technique. We numerically validate our method using Monte Carlo simulations and exact solutions of time-resolved and steady state diffuse reflectance. Knowledge of the path length distribution may be helpful in drafting models for sub-diffuse reflectance measurements such as Single Fiber Reflectance Spectroscopy, whereas moments of the pathlength distribution (mean and variance) may provide diagnostic information by themselves.

UR - https://www.scopus.com/pages/publications/85074250557

UR - https://www.scopus.com/pages/publications/85074250557#tab=citedBy

U2 - 10.1117/12.2527903

DO - 10.1117/12.2527903

M3 - Conference contribution

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Diffuse Optical Spectroscopy and Imaging VII

A2 - Dehghani, Hamid

A2 - Wabnitz, Heidrun

PB - SPIE

T2 - Diffuse Optical Spectroscopy and Imaging VII 2019

Y2 - 23 June 2019 through 25 June 2019

ER -

Pathlength distribution of (sub)diffusively reflected light

Abstract

Publication series

Conference

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Pathlength distribution of (sub)diffusively reflected light

Cite this