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Efficient optimization based on local shift-invariance for adaptive SPECT systems

Lara da Rocha Vaz Pato, Stefaan Vandenberghe UGent and Roel Van Holen UGent (2012) IEEE Nuclear Science Symposium Conference Record. p.2501-2508
abstract
Adaptive SPECT systems automatically change some of their settings to maximize the image quality for a given subject and purpose. This approach has a lot of potential, and could lead to drastic improvements in performance. In particular, it would be very useful in high resolution pinhole SPECT, where the low sensitivity requires higher radiation doses or longer imaging times compared to other systems. In order to have adaptation in real-time, we need a fast method for optimizing the adaptive settings according to a given figure of merit. This is still a big challenge. Based on previous work, we address in this paper the issue of fast evaluation of image quality and optimization, for a class of adaptive SPECT systems. We evaluate the image quality in a voxel of interest, reconstructed using post- filtered MLEM, with the contrast-to-noise ratio (CNR). The CNR is computed analytically, using an approximation based on the Fisher information matrix and assuming local shift-invariance on the Fisher information matrices per adaptation parameter. We maximize the CNR with a gradient based optimization approach. We then test this method in the optimization of the angular sampling of a single-head SPECT system which rotates around a phantom. In this case, the method proved to be very efficient, and at the same time showed good agreement with previous results in literature and with the outcome from reconstructions.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
PET, PROJECTIONS, FEASIBILITY, PINHOLE SPECT, RESOLUTION, SINGLE, PENALIZED MAXIMUM-LIKELIHOOD, LIKELIHOOD IMAGE-RECONSTRUCTION, post-filtered MLEM reconstruction, evaluation of image quality, Fisher information matrix, local shift-invariant approximation, optimization, pinhole SPECT, Adaptive imaging, RECOVERY, VARIANCE
in
IEEE Nuclear Science Symposium Conference Record
editor
B Yu
issue title
2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC)
pages
2501 - 2508
publisher
IEEE
conference name
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE
conference location
Anaheim, CA, USA
conference start
2012-10-29
conference end
2012-11-03
Web of Science type
Proceedings Paper
Web of Science id
000326814202131
ISBN
9781467320306
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3144529
handle
http://hdl.handle.net/1854/LU-3144529
date created
2013-02-26 14:17:56
date last changed
2016-12-19 15:37:09
@inproceedings{3144529,
  abstract     = {Adaptive SPECT systems automatically change some of their settings to maximize the image quality for a given subject and purpose. This approach has a lot of potential, and could lead to drastic improvements in performance. In particular, it would be very useful in high resolution pinhole SPECT, where the low sensitivity requires higher radiation doses or longer imaging times compared to other systems. In order to have adaptation in real-time, we need a fast method for optimizing the adaptive settings according to a given figure of merit. This is still a big challenge. Based on previous work, we address in this paper the issue of fast evaluation of image quality and optimization, for a class of adaptive SPECT systems. We evaluate the image quality in a voxel of interest, reconstructed using post- filtered MLEM, with the contrast-to-noise ratio (CNR). The CNR is computed analytically, using an approximation based on the Fisher information matrix and assuming local shift-invariance on the Fisher information matrices per adaptation parameter. We maximize the CNR with a gradient based optimization approach. We then test this method in the optimization of the angular sampling of a single-head SPECT system which rotates around a phantom. In this case, the method proved to be very efficient, and at the same time showed good agreement with previous results in literature and with the outcome from reconstructions.},
  author       = {da Rocha Vaz Pato, Lara and Vandenberghe, Stefaan and Van Holen, Roel},
  booktitle    = {IEEE Nuclear Science Symposium Conference Record},
  editor       = {Yu, B},
  isbn         = {9781467320306},
  keyword      = {PET,PROJECTIONS,FEASIBILITY,PINHOLE SPECT,RESOLUTION,SINGLE,PENALIZED MAXIMUM-LIKELIHOOD,LIKELIHOOD IMAGE-RECONSTRUCTION,post-filtered MLEM reconstruction,evaluation of image quality,Fisher information matrix,local shift-invariant approximation,optimization,pinhole SPECT,Adaptive imaging,RECOVERY,VARIANCE},
  language     = {eng},
  location     = {Anaheim, CA, USA},
  pages        = {2501--2508},
  publisher    = {IEEE},
  title        = {Efficient optimization based on local shift-invariance for adaptive SPECT systems},
  year         = {2012},
}

Chicago
da Rocha Vaz Pato, Lara, Stefaan Vandenberghe, and Roel Van Holen. 2012. “Efficient Optimization Based on Local Shift-invariance for Adaptive SPECT Systems.” In IEEE Nuclear Science Symposium Conference Record, ed. B Yu, 2501–2508. IEEE.
APA
da Rocha Vaz Pato, L., Vandenberghe, S., & Van Holen, R. (2012). Efficient optimization based on local shift-invariance for adaptive SPECT systems. In B Yu (Ed.), IEEE Nuclear Science Symposium Conference Record (pp. 2501–2508). Presented at the Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE, IEEE.
Vancouver
1.
da Rocha Vaz Pato L, Vandenberghe S, Van Holen R. Efficient optimization based on local shift-invariance for adaptive SPECT systems. In: Yu B, editor. IEEE Nuclear Science Symposium Conference Record. IEEE; 2012. p. 2501–8.
MLA
da Rocha Vaz Pato, Lara, Stefaan Vandenberghe, and Roel Van Holen. “Efficient Optimization Based on Local Shift-invariance for Adaptive SPECT Systems.” IEEE Nuclear Science Symposium Conference Record. Ed. B Yu. IEEE, 2012. 2501–2508. Print.