Literature DB >> 31325251

Special Section Guest Editorial: Special Section on Spatial Frequency Domain Imaging.

Sylvain Gioux1, Amaan Mazhar2, Anthony J Durkin3, Bruce J Tromberg4, David J Cuccia2.   

Abstract

This guest editorial introduces the Special Section on Spatial Frequency Domain Imaging.

Entities:  

Year:  2019        PMID: 31325251      PMCID: PMC6995872          DOI: 10.1117/1.JBO.24.7.071601

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


This special section of the Journal of Biomedical Optics (JBO) features fourteen articles related to the use of spatial frequency domain imaging (SFDI) as a core methodology for evaluating tissue optical properties. Covering a broad range of topics, this special section presents the latest work in SFDI. SFDI is a wide-field imaging technique that has garnered significant research attention in the last twenty years. The fundamental principle underlying this technology was first introduced in 1998 by Dögnitz et al., and quickly matured into a unique way to rapidly image quantitatively large fields-of-view at mesoscopic and macroscopic scales thanks to the developments by Cuccia et al., starting in 2005. Due to its unique capabilities for quantifying optical properties of living tissues rapidly, the method has gained significant interest from the biomedical optics community with, as of today, more than 130 articles published. In recent years, SFDI has been the topic of dedicated sessions at a number of meetings with contributors from around all the world. The contributions to this special section of JBO Volume 24, Issue 7, cover a broad range of topics that best illustrate the activity in this field. There are two review articles covering the use of structured illumination—one at a macroscopic scale, and a second focused more specifically on SFDI. A second category of articles focus on modeling in the spatial frequency domain (SFD), including assessment of optical sampling depth in the SFD, development of analytical models for separation of surface and volumetric scattering, implantation of machine learning methodology to rapidly extract optical properties, and derivation of a deterministic radiative transport solver. A third category of articles focus on new instrumentation advances to enable concurrent temporal and spatial modulation of light for rapid oxygenation imaging, improvement of image quality via a single snapshot of optical properties, and the potential of a single pixel camera in combination with SFDI, and a hyperspectral SFDI acquisition system. Finally, there is a group of articles to enhance clinical applications, including characterization of resected cancerous breast tissue, guidance of intra-operative tumor resection, and correction of light attenuation for improved Cherenkov imaging, and monitoring of burn wound and skin graft healing. We thank all the authors and reviewers who contributed to this special section and hope it is a useful resource. We also thank the JBO staff for their assistance and support. We hope that the work featured in this special section will provide a launchpad for others to use SFDI for fundamental research as well as practical clinical applications.
  16 in total

1.  Modulated imaging: quantitative analysis and tomography of turbid media in the spatial-frequency domain.

Authors:  David J Cuccia; Frederic Bevilacqua; Anthony J Durkin; Bruce J Tromberg
Journal:  Opt Lett       Date:  2005-06-01       Impact factor: 3.776

2.  Optical sampling depth in the spatial frequency domain.

Authors:  Carole K Hayakawa; Kavon Karrobi; Vivian Pera; Darren Roblyer; Vasan Venugopalan
Journal:  J Biomed Opt       Date:  2019-07       Impact factor: 3.170

3.  Correcting Cherenkov light attenuation in tissue using spatial frequency domain imaging for quantitative surface dosimetry during whole breast radiation therapy.

Authors:  Rachael Hachadorian; Petr Bruza; Michael Jermyn; Amaan Mazhar; David Cuccia; Lesley Jarvis; David Gladstone; Brian Pogue
Journal:  J Biomed Opt       Date:  2018-11       Impact factor: 3.170

4.  Light scattering measured with spatial frequency domain imaging can predict stromal versus epithelial proportions in surgically resected breast tissue.

Authors:  David M McClatchy; Elizabeth J Rizzo; Wendy A Wells; Candice C Black; Keith D Paulsen; Stephen C Kanick; Brian W Pogue
Journal:  J Biomed Opt       Date:  2018-09       Impact factor: 3.170

5.  Spatial frequency domain imaging: a quantitative, noninvasive tool for in vivo monitoring of burn wound and skin graft healing.

Authors:  Gordon T Kennedy; Randolph Stone; Andrew C Kowalczewski; Rebecca Rowland; Jeffrey H Chen; Melissa L Baldado; Adrien Ponticorvo; Nicole Bernal; Robert J Christy; Anthony J Durkin
Journal:  J Biomed Opt       Date:  2019-07       Impact factor: 3.170

6.  Spatial frequency domain imaging using an analytical model for separation of surface and volume scattering.

Authors:  Steffen Nothelfer; Florian Bergmann; André Liemert; Dominik Reitzle; Alwin Kienle
Journal:  J Biomed Opt       Date:  2018-09       Impact factor: 3.170

7.  Real-time, wide-field, and quantitative oxygenation imaging using spatiotemporal modulation of light.

Authors:  Manon Schmidt; Enagnon Aguénounon; Amir Nahas; Murielle Torregrossa; Bruce J Tromberg; Wilfried Uhring; Sylvain Gioux
Journal:  J Biomed Opt       Date:  2019-03       Impact factor: 3.170

8.  Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering.

Authors:  Enagnon Aguénounon; Foudil Dadouche; Wilfried Uhring; Sylvain Gioux
Journal:  J Biomed Opt       Date:  2019-03       Impact factor: 3.170

9.  Hyperspectral imaging in the spatial frequency domain with a supercontinuum source.

Authors:  Mohammad Torabzadeh; Patrick Stockton; Gordon Kennedy; Rolf Saager; Anthony J Durkin; Randy Bartels; Bruce Tromberg
Journal:  J Biomed Opt       Date:  2019-07       Impact factor: 3.170

10.  Recovery of layered tissue optical properties from spatial frequency-domain spectroscopy and a deterministic radiative transport solver.

Authors:  Sean T Horan; Adam R Gardner; Rolf Saager; Anthony J Durkin; Vasan Venugopalan
Journal:  J Biomed Opt       Date:  2018-11       Impact factor: 3.170

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