Ghent University Academic Bibliography

Advanced

Automated stereotactic standardization of brain SPECT receptor data using single-photon transmission images

Koenraad Van Laere, Michel Koole, Yves D'Asseler, JAN VERSIJPT, Kurt Audenaert UGent, Filip Dumont and Rudi Dierckx UGent (2001) JOURNAL OF NUCLEAR MEDICINE. 42(2). p.361-375
abstract
Intra- or intersubject registration of anatomically poorly defined SPECT data, such as in neuroreceptor imaging, is important for longitudinal or group analysis. However, accurate registration is difficult with only emission CT (ECT) data. We investigated fully automated registration using transmission CT (ECT) data as an intermediary image set. Methods: The accuracy of TCT registration was compared to that of ECT registration for four types of data: gray-matter distribution (with [Tc-99m]ethylcysteinate dimer (ECD)), neocortical distribution (with [I-123]R91150, a highly specific 5-HT2a receptor ligand), and striatal distribution of the D-2-receptor ligand (with [I-123]iodobenzamide (IBZM)) and the dopamine transporter ligand (with [I-123]2 beta -carbomethoxy-3 beta-(4-fluorophenyl)tropane (CIT)). In total, 10 datasets of the various study types were used, all collected on a Toshiba GCA9300 gamma camera with super-high-resolution fanbeam collimators and 3 x 370 MBq of Gd-153 transmission sources (4-min sequential TCT scanning for receptor studies and 20-min simultaneous scanning for [Tc-99m]ECD studies). Per dataset, 15 random misalignments of 9 rigid-body parameters (translation, rotation, and anisotropic scaling) were conducted. All coregistrations were done twice, both to the subject's original scan and to a study-specific template. This was done manually by two independent experienced observers and with three automated voxel similarity algorithms: mutual information (M.I.), count difference (C.D.), and uniformity index (U.I.). As an outcome measure, the impact of misregistration on semiquantification for the various study types was established. Results: TCT matching allowed registration within 3.3 mm, 2.4 degrees, and 1.2% scaling (mean squared values for all directions) with an overall accuracy decrease in the following order: C.D. > M.I. > manual > U.I. For [Tc-99m]ECD and [I-123]IBZM, TCT registration was as accurate as ECT registration, while it was far superior for the other receptor data types, especially for abnormal studies. The automated TCT registration accuracy corresponded to average quantification errors of 2.9% ([Tc-99m]ECD), 4.2% ([I-123]IBZM), 5.7% ([I-123]R91150), and 6.1% ([I-123]beta -CIT). Conclusion: Fully automated registration through intermediary TCT images is clinically feasible, fast, and accurate. In addition to nonuniform attenuation correction, TCT scanning therefore allows coregistration for group comparisons of SPECT receptor data on a standardized or pixel-by-pixel basis.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
transmission CT, LIGAND, coregistration, brain SPECT, receptor ligands, POSITRON-EMISSION-TOMOGRAPHY, 3-DIMENSIONAL REGISTRATION, PET, MRI, SYSTEM, PERFORMANCE, ALGORITHM, PHANTOM, SCANS
journal title
JOURNAL OF NUCLEAR MEDICINE
J. Nucl. Med.
volume
42
issue
2
pages
361 - 375
Web of Science type
Article
Web of Science id
000166888300031
JCR category
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
JCR impact factor
4.51 (2001)
JCR rank
4/81 (2001)
JCR quartile
1 (2001)
ISSN
0161-5505
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
144330
handle
http://hdl.handle.net/1854/LU-144330
alternative location
http://jnm.snmjournals.org/content/42/2/361
date created
2004-01-14 13:38:00
date last changed
2016-12-19 15:38:34
@article{144330,
  abstract     = {Intra- or intersubject registration of anatomically poorly defined SPECT data, such as in neuroreceptor imaging, is important for longitudinal or group analysis. However, accurate registration is difficult with only emission CT (ECT) data. We investigated fully automated registration using transmission CT (ECT) data as an intermediary image set. Methods: The accuracy of TCT registration was compared to that of ECT registration for four types of data: gray-matter distribution (with [Tc-99m]ethylcysteinate dimer (ECD)), neocortical distribution (with [I-123]R91150, a highly specific 5-HT2a receptor ligand), and striatal distribution of the D-2-receptor ligand (with [I-123]iodobenzamide (IBZM)) and the dopamine transporter ligand (with [I-123]2 beta -carbomethoxy-3 beta-(4-fluorophenyl)tropane (CIT)). In total, 10 datasets of the various study types were used, all collected on a Toshiba GCA9300 gamma camera with super-high-resolution fanbeam collimators and 3 x 370 MBq of Gd-153 transmission sources (4-min sequential TCT scanning for receptor studies and 20-min simultaneous scanning for [Tc-99m]ECD studies). Per dataset, 15 random misalignments of 9 rigid-body parameters (translation, rotation, and anisotropic scaling) were conducted. All coregistrations were done twice, both to the subject's original scan and to a study-specific template. This was done manually by two independent experienced observers and with three automated voxel similarity algorithms: mutual information (M.I.), count difference (C.D.), and uniformity index (U.I.). As an outcome measure, the impact of misregistration on semiquantification for the various study types was established. Results: TCT matching allowed registration within 3.3 mm, 2.4 degrees, and 1.2\% scaling (mean squared values for all directions) with an overall accuracy decrease in the following order: C.D. {\textrangle} M.I. {\textrangle} manual {\textrangle} U.I. For [Tc-99m]ECD and [I-123]IBZM, TCT registration was as accurate as ECT registration, while it was far superior for the other receptor data types, especially for abnormal studies. The automated TCT registration accuracy corresponded to average quantification errors of 2.9\% ([Tc-99m]ECD), 4.2\% ([I-123]IBZM), 5.7\% ([I-123]R91150), and 6.1\% ([I-123]beta -CIT). Conclusion: Fully automated registration through intermediary TCT images is clinically feasible, fast, and accurate. In addition to nonuniform attenuation correction, TCT scanning therefore allows coregistration for group comparisons of SPECT receptor data on a standardized or pixel-by-pixel basis.},
  author       = {Van Laere, Koenraad and Koole, Michel and D'Asseler, Yves and VERSIJPT, JAN and Audenaert, Kurt and Dumont, Filip and Dierckx, Rudi},
  issn         = {0161-5505},
  journal      = {JOURNAL OF NUCLEAR MEDICINE},
  keyword      = {transmission CT,LIGAND,coregistration,brain SPECT,receptor ligands,POSITRON-EMISSION-TOMOGRAPHY,3-DIMENSIONAL REGISTRATION,PET,MRI,SYSTEM,PERFORMANCE,ALGORITHM,PHANTOM,SCANS},
  language     = {eng},
  number       = {2},
  pages        = {361--375},
  title        = {Automated stereotactic standardization of brain SPECT receptor data using single-photon transmission images},
  url          = {http://jnm.snmjournals.org/content/42/2/361},
  volume       = {42},
  year         = {2001},
}

Chicago
Van Laere, Koenraad, Michel Koole, YVES D’ASSELER, Jan Versijpt, Kurt Audenaert, Filip Dumont, and Rudi Dierckx. 2001. “Automated Stereotactic Standardization of Brain SPECT Receptor Data Using Single-photon Transmission Images.” Journal of Nuclear Medicine 42 (2): 361–375.
APA
Van Laere, Koenraad, Koole, M., D’ASSELER, Y., Versijpt, J., Audenaert, K., Dumont, F., & Dierckx, R. (2001). Automated stereotactic standardization of brain SPECT receptor data using single-photon transmission images. JOURNAL OF NUCLEAR MEDICINE, 42(2), 361–375.
Vancouver
1.
Van Laere K, Koole M, D’ASSELER Y, Versijpt J, Audenaert K, Dumont F, et al. Automated stereotactic standardization of brain SPECT receptor data using single-photon transmission images. JOURNAL OF NUCLEAR MEDICINE. 2001;42(2):361–75.
MLA
Van Laere, Koenraad, Michel Koole, YVES D’ASSELER, et al. “Automated Stereotactic Standardization of Brain SPECT Receptor Data Using Single-photon Transmission Images.” JOURNAL OF NUCLEAR MEDICINE 42.2 (2001): 361–375. Print.