Galaxy method for the 3-D spatial registration of PET images to Talairach brain atlas

A. V. Levy; D. Alexoff; F. Hode; M. Denis; D. Bertollo; Atam Dhawan; J. Logan; B. Andrews; N. D. Volkow

Galaxy method for the 3-D spatial registration of PET images to Talairach brain atlas

A. V. Levy, D. Alexoff, F. Hode, M. Denis, D. Bertollo, Atam Dhawan, J. Logan, B. Andrews, N. D. Volkow

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

Abstract

Human brain function is studied by averaging many PET images in order to enhance the signal to noise ratio of weak group-specific patterns caused by medication, illness, or functional activation. Present registration methods by Woods and Friston, (SPM), compute 3 translations and 3 rotations to register each PET image to a reference anatomical atlas using a 6 degree of freedom optimization method. By using only a 2 degree of freedom optimization method, the present method decreases the computing time down to 70 sec in a SUN Sparc2 CPU; this is a speed increment by a factor of 3 to 15 times over previous methods. Experimental results for 24 FDG-PET images also indicate that the present method improves the accuracy of the registration to a mean error of 0.48 mm and a maximum error of 2.47 mm.

Original language	English (US)
Pages (from-to)	850-851
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	2
State	Published - Dec 1 1996
Externally published	Yes

All Science Journal Classification (ASJC) codes

Bioengineering

Cite this

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title = "Galaxy method for the 3-D spatial registration of PET images to Talairach brain atlas",

abstract = "Human brain function is studied by averaging many PET images in order to enhance the signal to noise ratio of weak group-specific patterns caused by medication, illness, or functional activation. Present registration methods by Woods and Friston, (SPM), compute 3 translations and 3 rotations to register each PET image to a reference anatomical atlas using a 6 degree of freedom optimization method. By using only a 2 degree of freedom optimization method, the present method decreases the computing time down to 70 sec in a SUN Sparc2 CPU; this is a speed increment by a factor of 3 to 15 times over previous methods. Experimental results for 24 FDG-PET images also indicate that the present method improves the accuracy of the registration to a mean error of 0.48 mm and a maximum error of 2.47 mm.",

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T1 - Galaxy method for the 3-D spatial registration of PET images to Talairach brain atlas

AU - Levy, A. V.

AU - Alexoff, D.

AU - Hode, F.

AU - Denis, M.

AU - Bertollo, D.

AU - Dhawan, Atam

AU - Logan, J.

AU - Andrews, B.

AU - Volkow, N. D.

PY - 1996/12/1

Y1 - 1996/12/1

N2 - Human brain function is studied by averaging many PET images in order to enhance the signal to noise ratio of weak group-specific patterns caused by medication, illness, or functional activation. Present registration methods by Woods and Friston, (SPM), compute 3 translations and 3 rotations to register each PET image to a reference anatomical atlas using a 6 degree of freedom optimization method. By using only a 2 degree of freedom optimization method, the present method decreases the computing time down to 70 sec in a SUN Sparc2 CPU; this is a speed increment by a factor of 3 to 15 times over previous methods. Experimental results for 24 FDG-PET images also indicate that the present method improves the accuracy of the registration to a mean error of 0.48 mm and a maximum error of 2.47 mm.

AB - Human brain function is studied by averaging many PET images in order to enhance the signal to noise ratio of weak group-specific patterns caused by medication, illness, or functional activation. Present registration methods by Woods and Friston, (SPM), compute 3 translations and 3 rotations to register each PET image to a reference anatomical atlas using a 6 degree of freedom optimization method. By using only a 2 degree of freedom optimization method, the present method decreases the computing time down to 70 sec in a SUN Sparc2 CPU; this is a speed increment by a factor of 3 to 15 times over previous methods. Experimental results for 24 FDG-PET images also indicate that the present method improves the accuracy of the registration to a mean error of 0.48 mm and a maximum error of 2.47 mm.

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Galaxy method for the 3-D spatial registration of PET images to Talairach brain atlas

Abstract

All Science Journal Classification (ASJC) codes

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