Spatially adaptive image restoration for autoradiography

John A. Goyette; Moon G. Kang; Aggelos K. Katsaggelos; Gregory D. Lapin

doi:10.1117/12.216883

Spatially adaptive image restoration for autoradiography

John A. Goyette, Moon G. Kang, Aggelos K. Katsaggelos, Gregory D. Lapin

Department of Electrical and Electronic Engineering

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

6 Citations (Scopus)

Abstract

In this paper, we present a model that is used to improve the resolution of autoradiographic images. The model involves a point spread function (PSF) due to the radiated pattern of emitted photons combined with a signal-dependent noise source due to the granularity of x-ray recording film. A theoretical expression for the PSF is presented, and experimental measurements are performed using ⁵¹Cr microspheres. An iterative regularized image restoration algorithm is developed using a weighting matrix to incorporate the signal-dependent nature of the noise. Since information about the original undegraded image is not completely available, we make use of a regularization functional that is updated at each iteration to optimize the solution process. Our experimental results indicate that the resolution of autoradiographic images is improved by 43% using this algorithm.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Society of Photo-Optical Instrumentation Engineers
Pages	811-822
Number of pages	12
Volume	2622
Edition	2
ISBN (Print)	0819419869, 9780819419866
DOIs	https://doi.org/10.1117/12.216883
Publication status	Published - 1995
Event	Optical Engineering Midwest'95. Part 2 (of 2) - Chicago, IL, USA Duration: 1995 May 18 → 1995 May 19

Other

Other	Optical Engineering Midwest'95. Part 2 (of 2)
City	Chicago, IL, USA
Period	95/5/18 → 95/5/19

All Science Journal Classification (ASJC) codes

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

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10.1117/12.216883

Cite this

@inproceedings{7113adecfe104353be6764c99da857a3,

title = "Spatially adaptive image restoration for autoradiography",

abstract = "In this paper, we present a model that is used to improve the resolution of autoradiographic images. The model involves a point spread function (PSF) due to the radiated pattern of emitted photons combined with a signal-dependent noise source due to the granularity of x-ray recording film. A theoretical expression for the PSF is presented, and experimental measurements are performed using 51Cr microspheres. An iterative regularized image restoration algorithm is developed using a weighting matrix to incorporate the signal-dependent nature of the noise. Since information about the original undegraded image is not completely available, we make use of a regularization functional that is updated at each iteration to optimize the solution process. Our experimental results indicate that the resolution of autoradiographic images is improved by 43% using this algorithm.",

author = "Goyette, {John A.} and Kang, {Moon G.} and Katsaggelos, {Aggelos K.} and Lapin, {Gregory D.}",

year = "1995",

doi = "10.1117/12.216883",

language = "English",

isbn = "0819419869",

volume = "2622",

pages = "811--822",

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

publisher = "Society of Photo-Optical Instrumentation Engineers",

edition = "2",

note = "Optical Engineering Midwest'95. Part 2 (of 2) ; Conference date: 18-05-1995 Through 19-05-1995",

}

Goyette, JA, Kang, MG, Katsaggelos, AK & Lapin, GD 1995, Spatially adaptive image restoration for autoradiography. in Proceedings of SPIE - The International Society for Optical Engineering. 2 edn, vol. 2622, Society of Photo-Optical Instrumentation Engineers, pp. 811-822, Optical Engineering Midwest'95. Part 2 (of 2), Chicago, IL, USA, 95/5/18. https://doi.org/10.1117/12.216883

Spatially adaptive image restoration for autoradiography. / Goyette, John A.; Kang, Moon G.; Katsaggelos, Aggelos K. et al.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2622 2. ed. Society of Photo-Optical Instrumentation Engineers, 1995. p. 811-822.

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

TY - GEN

T1 - Spatially adaptive image restoration for autoradiography

AU - Goyette, John A.

AU - Kang, Moon G.

AU - Katsaggelos, Aggelos K.

AU - Lapin, Gregory D.

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N2 - In this paper, we present a model that is used to improve the resolution of autoradiographic images. The model involves a point spread function (PSF) due to the radiated pattern of emitted photons combined with a signal-dependent noise source due to the granularity of x-ray recording film. A theoretical expression for the PSF is presented, and experimental measurements are performed using 51Cr microspheres. An iterative regularized image restoration algorithm is developed using a weighting matrix to incorporate the signal-dependent nature of the noise. Since information about the original undegraded image is not completely available, we make use of a regularization functional that is updated at each iteration to optimize the solution process. Our experimental results indicate that the resolution of autoradiographic images is improved by 43% using this algorithm.

AB - In this paper, we present a model that is used to improve the resolution of autoradiographic images. The model involves a point spread function (PSF) due to the radiated pattern of emitted photons combined with a signal-dependent noise source due to the granularity of x-ray recording film. A theoretical expression for the PSF is presented, and experimental measurements are performed using 51Cr microspheres. An iterative regularized image restoration algorithm is developed using a weighting matrix to incorporate the signal-dependent nature of the noise. Since information about the original undegraded image is not completely available, we make use of a regularization functional that is updated at each iteration to optimize the solution process. Our experimental results indicate that the resolution of autoradiographic images is improved by 43% using this algorithm.

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

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T2 - Optical Engineering Midwest'95. Part 2 (of 2)

Y2 - 18 May 1995 through 19 May 1995

ER -

Spatially adaptive image restoration for autoradiography

Abstract

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All Science Journal Classification (ASJC) codes

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