Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM

Doron Aloni; Adrian Stern; Bahram Javidi

doi:10.1117/12.883370

Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM

Doron Aloni, Adrian Stern, Bahram Javidi

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

Abstract

Reconstruction of three dimensional (3D) images from photon counting integral images was recently demonstrated by applying several methods including: maximum likelihood estimation, Bayesian estimation, and statistical estimation involving truncated Poisson statistics. Here we present simulation results for a new estimation approach implementing Penalized Maximum Likelihood Expectation Maximization (PMLEM) that better incorporates prior information in the reconstruction process.

Original language	English
Title of host publication	Three-Dimensional Imaging, Visualization, and Display 2011
Publisher	SPIE
ISBN (Print)	9780819486172
DOIs	https://doi.org/10.1117/12.883370
State	Published - 1 Jan 2011
Event	Three-Dimensional Imaging, Visualization, and Display 2011 - Orlando, FL, United States Duration: 27 Apr 2011 → 28 Apr 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8043
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Three-Dimensional Imaging, Visualization, and Display 2011
Country/Territory	United States
City	Orlando, FL
Period	27/04/11 → 28/04/11

Keywords

3D image reconstruction
Backward-projection
Forward-projection
Integral-imaging
MLEM estimation
Poisson distribution

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.883370

Cite this

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title = "Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM",

abstract = "Reconstruction of three dimensional (3D) images from photon counting integral images was recently demonstrated by applying several methods including: maximum likelihood estimation, Bayesian estimation, and statistical estimation involving truncated Poisson statistics. Here we present simulation results for a new estimation approach implementing Penalized Maximum Likelihood Expectation Maximization (PMLEM) that better incorporates prior information in the reconstruction process.",

keywords = "3D image reconstruction, Backward-projection, Forward-projection, Integral-imaging, MLEM estimation, Poisson distribution",

author = "Doron Aloni and Adrian Stern and Bahram Javidi",

year = "2011",

month = jan,

day = "1",

doi = "10.1117/12.883370",

language = "English",

isbn = "9780819486172",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

booktitle = "Three-Dimensional Imaging, Visualization, and Display 2011",

address = "United States",

note = "Three-Dimensional Imaging, Visualization, and Display 2011 ; Conference date: 27-04-2011 Through 28-04-2011",

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Aloni, D, Stern, A & Javidi, B 2011, Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM. in Three-Dimensional Imaging, Visualization, and Display 2011., 80430I, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8043, SPIE, Three-Dimensional Imaging, Visualization, and Display 2011, Orlando, FL, United States, 27/04/11. https://doi.org/10.1117/12.883370

Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM. / Aloni, Doron; Stern, Adrian; Javidi, Bahram.
Three-Dimensional Imaging, Visualization, and Display 2011. SPIE, 2011. 80430I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8043).

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

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AU - Stern, Adrian

AU - Javidi, Bahram

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N2 - Reconstruction of three dimensional (3D) images from photon counting integral images was recently demonstrated by applying several methods including: maximum likelihood estimation, Bayesian estimation, and statistical estimation involving truncated Poisson statistics. Here we present simulation results for a new estimation approach implementing Penalized Maximum Likelihood Expectation Maximization (PMLEM) that better incorporates prior information in the reconstruction process.

AB - Reconstruction of three dimensional (3D) images from photon counting integral images was recently demonstrated by applying several methods including: maximum likelihood estimation, Bayesian estimation, and statistical estimation involving truncated Poisson statistics. Here we present simulation results for a new estimation approach implementing Penalized Maximum Likelihood Expectation Maximization (PMLEM) that better incorporates prior information in the reconstruction process.

KW - 3D image reconstruction

KW - Backward-projection

KW - Forward-projection

KW - Integral-imaging

KW - MLEM estimation

KW - Poisson distribution

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T3 - Proceedings of SPIE - The International Society for Optical Engineering

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T2 - Three-Dimensional Imaging, Visualization, and Display 2011

Y2 - 27 April 2011 through 28 April 2011

ER -

Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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