A system calibration and fast iterative reconstruction method for next-generation SPECT imagers

Brian W. Miller; Roel Van Holen; Harrison H. Barrett; Lars R. Furenlid

doi:10.1109/TNS.2012.2198243

A system calibration and fast iterative reconstruction method for next-generation SPECT imagers

Brian W. Miller
, Roel Van Holen
, Harrison H. Barrett
, Lars R. Furenlid

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Recently, high-resolution gamma cameras have been developed with detectors containing > 10 ⁵-10 ⁵ elements. Single-photon emission computed tomography (SPECT) imagers based on these detectors usually also have a large number of voxel bins and therefore face memory storage issues for the system matrix when performing fast tomographic reconstructions using iterative algorithms. To address these issues, we have developed a method that parameterizes the detector response to a point source and generates the system matrix on the fly during MLEM or OSEM on graphics hardware. The calibration method, interpolation of coefficient data, and reconstruction results are presented in the context of a recently commissioned small-animal SPECT imager, called FastSPECT III.

Original language	English (US)
Article number	6213168
Pages (from-to)	1990-1996
Number of pages	7
Journal	IEEE Transactions on Nuclear Science
Volume	59
Issue number	5 PART 1
DOIs	https://doi.org/10.1109/TNS.2012.2198243
State	Published - 2012

Keywords

Calibration
Graphics processing units (GPUs)
High-performance computing
Image reconstruction
Ordered-subset expectation maximization (OSEM)
Single-photon emission computed tomography (SPECT)
System matrix

ASJC Scopus subject areas

Nuclear and High Energy Physics
Nuclear Energy and Engineering
Electrical and Electronic Engineering

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10.1109/TNS.2012.2198243

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title = "A system calibration and fast iterative reconstruction method for next-generation SPECT imagers",

abstract = "Recently, high-resolution gamma cameras have been developed with detectors containing > 10 5-10 5 elements. Single-photon emission computed tomography (SPECT) imagers based on these detectors usually also have a large number of voxel bins and therefore face memory storage issues for the system matrix when performing fast tomographic reconstructions using iterative algorithms. To address these issues, we have developed a method that parameterizes the detector response to a point source and generates the system matrix on the fly during MLEM or OSEM on graphics hardware. The calibration method, interpolation of coefficient data, and reconstruction results are presented in the context of a recently commissioned small-animal SPECT imager, called FastSPECT III.",

keywords = "Calibration, Graphics processing units (GPUs), High-performance computing, Image reconstruction, Ordered-subset expectation maximization (OSEM), Single-photon emission computed tomography (SPECT), System matrix",

author = "Miller, \{Brian W.\} and \{Van Holen\}, Roel and Barrett, \{Harrison H.\} and Furenlid, \{Lars R.\}",

note = "Funding Information: Manuscript received November 29, 2011; revised April 10, 2012; accepted April 25, 2012. Date of publication June 06, 2012; date of current version October 09, 2012. This work was supported by the National Institutes of Health under NIBIB Grant P41-EB002035 and R37-EB000803. The work of R. Van Holen was supported by a postdoctoral fellowship of the Research Foundation Flanders (FWO).",

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doi = "10.1109/TNS.2012.2198243",

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AU - Miller, Brian W.

AU - Van Holen, Roel

AU - Barrett, Harrison H.

AU - Furenlid, Lars R.

N1 - Funding Information: Manuscript received November 29, 2011; revised April 10, 2012; accepted April 25, 2012. Date of publication June 06, 2012; date of current version October 09, 2012. This work was supported by the National Institutes of Health under NIBIB Grant P41-EB002035 and R37-EB000803. The work of R. Van Holen was supported by a postdoctoral fellowship of the Research Foundation Flanders (FWO).

PY - 2012

Y1 - 2012

N2 - Recently, high-resolution gamma cameras have been developed with detectors containing > 10 5-10 5 elements. Single-photon emission computed tomography (SPECT) imagers based on these detectors usually also have a large number of voxel bins and therefore face memory storage issues for the system matrix when performing fast tomographic reconstructions using iterative algorithms. To address these issues, we have developed a method that parameterizes the detector response to a point source and generates the system matrix on the fly during MLEM or OSEM on graphics hardware. The calibration method, interpolation of coefficient data, and reconstruction results are presented in the context of a recently commissioned small-animal SPECT imager, called FastSPECT III.

AB - Recently, high-resolution gamma cameras have been developed with detectors containing > 10 5-10 5 elements. Single-photon emission computed tomography (SPECT) imagers based on these detectors usually also have a large number of voxel bins and therefore face memory storage issues for the system matrix when performing fast tomographic reconstructions using iterative algorithms. To address these issues, we have developed a method that parameterizes the detector response to a point source and generates the system matrix on the fly during MLEM or OSEM on graphics hardware. The calibration method, interpolation of coefficient data, and reconstruction results are presented in the context of a recently commissioned small-animal SPECT imager, called FastSPECT III.

KW - Calibration

KW - Graphics processing units (GPUs)

KW - High-performance computing

KW - Image reconstruction

KW - Ordered-subset expectation maximization (OSEM)

KW - Single-photon emission computed tomography (SPECT)

KW - System matrix

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U2 - 10.1109/TNS.2012.2198243

DO - 10.1109/TNS.2012.2198243

M3 - Article

AN - SCOPUS:84867880485

SN - 0018-9499

VL - 59

SP - 1990

EP - 1996

JO - IEEE Transactions on Nuclear Science

JF - IEEE Transactions on Nuclear Science

IS - 5 PART 1

M1 - 6213168

ER -

A system calibration and fast iterative reconstruction method for next-generation SPECT imagers

Abstract

Keywords

ASJC Scopus subject areas

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