DocumentCode :
1542262
Title :
PET, CT, and MR image registration of the rat brain and skull
Author :
Vaquero, Juan José ; Desco, Manuel ; Pascau, Javier ; Santos, Andrés ; Lee, Injae ; Seidel, Jürgen ; Green, Michael V.
Author_Institution :
Nat. Inst. of Health, Bethesda, MD, USA
Volume :
48
Issue :
4
fYear :
2001
fDate :
8/1/2001 12:00:00 AM
Firstpage :
1440
Lastpage :
1445
Abstract :
Spatially registered positron emission tomography (PET), computed tomography (CT), and magnetic resonance (MR) images of the same small animal offer potential advantages over PET alone: CT images should allow accurate, nearly noise-free correction of the PET image data for attenuation; the CT or MR images should permit more certain identification of structures evident in the PET images; and CT images provide a priori anatomical information that may be of use with resolution-improving image-reconstruction algorithms that model the PET imaging process. However, image registration algorithms effective in human studies have not been characterized in the small-animal setting. Accordingly, the authors evaluated the ability of the automated image registration (AIR) and mutual information (MI) algorithms to register PET images of the rat skull and brain to CT or MR images of the same animal. External fiducial marks visible in all three modalities were used to estimate residual errors after registration. The AIR algorithm registered PET bone-to-CT bone images with a maximum error of less than 1.0 mm, The registration errors for PET brain-to-CT brain images, however, were greater, and considerable user intervention was required prior to registration. The AIR algorithm either failed or required excessive user intervention to register PET and MR brain images. In contrast, the MI algorithm yielded smaller registration errors in all scenarios with little user intervention. The MI algorithm thus appears to be a more robust method for registering PET, CT, and MR images of the rat head
Keywords :
biological NMR; biology computing; brain; computerised tomography; image reconstruction; image registration; positron emission tomography; CT; MR image registration; PET; attenuation; automated image registration; biological research technique; external fiducial marks; image registration algorithms; mutual information algorithms; nearly noise-free correction; rat brain; rat head; skull; small animal; structures identification; user intervention; Animal structures; Attenuation; Brain; Computed tomography; Image registration; Image resolution; Magnetic noise; Magnetic resonance; Positron emission tomography; Skull;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.958376
Filename :
958376
Link To Document :
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