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A method for coregistration of PET and MR brain images
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Radiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Section of Nuclear Medicine and PET.
1995 (English)In: Journal of Nuclear Medicine, ISSN 0161-5505, E-ISSN 1535-5667, Vol. 36, no 7, 1307-1315 p.Article in journal (Refereed) Published
Abstract [en]

Combining MRI morphological data with functional PET data offers significant advantages in research as well as in many clinical situations. Automatic methods are needed, however, to coregister the data from the two modalities.

METHODS:

Simulated PET images were created by simple and automatic segmentation of MR images followed by the assignment of different uptake values to various tissue types. The simulated PET images were registered to actual PET images using a pixel-by-pixel, PET-PET registration method. The transformation matrix was then applied to the MR images. The method was used to register MRI data to PET transmission scans and emission scans obtained with FDG, nomifensine and raclopride. Validation was performed by comparing the results to those obtained by matching internal points manually defined in both volumes.

RESULTS:

Emission and transmission PET images were successfully registered to MR data. Comparison to the manual method indicated a registration accuracy on the order of 1-2 mm in each direction. No difference in accuracy between the different tracers was found. The error sensitivity for the method's assumptions seemed to be sufficiently low to allow complete automation of the method.

CONCLUSION:

We present a rapid, robust and fully automated method to register PET and MR brain images with sufficient accuracy for most clinical applications.

Place, publisher, year, edition, pages
1995. Vol. 36, no 7, 1307-1315 p.
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:uu:diva-231358PubMedID: 7790961OAI: oai:DiVA.org:uu-231358DiVA: diva2:744344
Available from: 2014-09-08 Created: 2014-09-08 Last updated: 2017-12-05Bibliographically approved

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PubMedhttp://jnm.snmjournals.org/content/36/7/1307.long

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Sundin, Anders

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