3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions

Won Ho Lee, David K. Wehe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this work, the 3D position information of a radiation source is determined by a compact gamma ray imaging system. 2D gamma ray images were obtained from different positions by the gamma camera and the third dimension, the distance between the detector and the radiation source, was calculated using triangulation. Additionally, a CCD camera is attached to the top of the gamma camera and provides coincident 2D visual information. The inferred distances from the center of the two measurement points and a radiation source had less than a 5% error within a range of 3m. From the measured distances and camera intrinsic efficiencies ε(θ,φ) from MCNP simulations, the activity of the source was normally determined within 80% of the true value depending upon source position. The parallax between the two visual images was corrected using the inferred distance between the detector and the radiation source. The radiation image from gamma camera and the visual image from CCD camera are superimposed into one combined image using a maximum-likelihood (ML) algorithm to make the image alignment more precise. Energy dependent response functions were found to be better than a fixed energy response function for ML image processing.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium Conference Record
EditorsS.D. Metzler
Pages737-741
Number of pages5
Volume2
Publication statusPublished - 2003
Externally publishedYes
Event2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States
Duration: 2003 Oct 192003 Oct 25

Other

Other2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference
CountryUnited States
CityPortland, OR
Period03/10/1903/10/25

Fingerprint

Maximum likelihood
Cameras
Radiation
CCD cameras
Gamma rays
Detectors
Triangulation
Imaging systems
Light sources
Image processing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Lee, W. H., & Wehe, D. K. (2003). 3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions. In S. D. Metzler (Ed.), IEEE Nuclear Science Symposium Conference Record (Vol. 2, pp. 737-741). [N26-65]

3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions. / Lee, Won Ho; Wehe, David K.

IEEE Nuclear Science Symposium Conference Record. ed. / S.D. Metzler. Vol. 2 2003. p. 737-741 N26-65.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, WH & Wehe, DK 2003, 3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions. in SD Metzler (ed.), IEEE Nuclear Science Symposium Conference Record. vol. 2, N26-65, pp. 737-741, 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference, Portland, OR, United States, 03/10/19.
Lee WH, Wehe DK. 3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions. In Metzler SD, editor, IEEE Nuclear Science Symposium Conference Record. Vol. 2. 2003. p. 737-741. N26-65
Lee, Won Ho ; Wehe, David K. / 3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions. IEEE Nuclear Science Symposium Conference Record. editor / S.D. Metzler. Vol. 2 2003. pp. 737-741
@inproceedings{c0f6e729cd6949fb871c108378d3dc19,
title = "3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions",
abstract = "In this work, the 3D position information of a radiation source is determined by a compact gamma ray imaging system. 2D gamma ray images were obtained from different positions by the gamma camera and the third dimension, the distance between the detector and the radiation source, was calculated using triangulation. Additionally, a CCD camera is attached to the top of the gamma camera and provides coincident 2D visual information. The inferred distances from the center of the two measurement points and a radiation source had less than a 5{\%} error within a range of 3m. From the measured distances and camera intrinsic efficiencies ε(θ,φ) from MCNP simulations, the activity of the source was normally determined within 80{\%} of the true value depending upon source position. The parallax between the two visual images was corrected using the inferred distance between the detector and the radiation source. The radiation image from gamma camera and the visual image from CCD camera are superimposed into one combined image using a maximum-likelihood (ML) algorithm to make the image alignment more precise. Energy dependent response functions were found to be better than a fixed energy response function for ML image processing.",
author = "Lee, {Won Ho} and Wehe, {David K.}",
year = "2003",
language = "English",
volume = "2",
pages = "737--741",
editor = "S.D. Metzler",
booktitle = "IEEE Nuclear Science Symposium Conference Record",

}

TY - GEN

T1 - 3D position of radiation sources using an automated gamma camera and ML algorithm with energy-dependent response functions

AU - Lee, Won Ho

AU - Wehe, David K.

PY - 2003

Y1 - 2003

N2 - In this work, the 3D position information of a radiation source is determined by a compact gamma ray imaging system. 2D gamma ray images were obtained from different positions by the gamma camera and the third dimension, the distance between the detector and the radiation source, was calculated using triangulation. Additionally, a CCD camera is attached to the top of the gamma camera and provides coincident 2D visual information. The inferred distances from the center of the two measurement points and a radiation source had less than a 5% error within a range of 3m. From the measured distances and camera intrinsic efficiencies ε(θ,φ) from MCNP simulations, the activity of the source was normally determined within 80% of the true value depending upon source position. The parallax between the two visual images was corrected using the inferred distance between the detector and the radiation source. The radiation image from gamma camera and the visual image from CCD camera are superimposed into one combined image using a maximum-likelihood (ML) algorithm to make the image alignment more precise. Energy dependent response functions were found to be better than a fixed energy response function for ML image processing.

AB - In this work, the 3D position information of a radiation source is determined by a compact gamma ray imaging system. 2D gamma ray images were obtained from different positions by the gamma camera and the third dimension, the distance between the detector and the radiation source, was calculated using triangulation. Additionally, a CCD camera is attached to the top of the gamma camera and provides coincident 2D visual information. The inferred distances from the center of the two measurement points and a radiation source had less than a 5% error within a range of 3m. From the measured distances and camera intrinsic efficiencies ε(θ,φ) from MCNP simulations, the activity of the source was normally determined within 80% of the true value depending upon source position. The parallax between the two visual images was corrected using the inferred distance between the detector and the radiation source. The radiation image from gamma camera and the visual image from CCD camera are superimposed into one combined image using a maximum-likelihood (ML) algorithm to make the image alignment more precise. Energy dependent response functions were found to be better than a fixed energy response function for ML image processing.

UR - http://www.scopus.com/inward/record.url?scp=11944268349&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11944268349&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:11944268349

VL - 2

SP - 737

EP - 741

BT - IEEE Nuclear Science Symposium Conference Record

A2 - Metzler, S.D.

ER -