DocumentCode :
2425653
Title :
Automated PET/CT brain registration for accurate attenuation correction
Author :
Khurshid, Khawar ; Berger, Kevin L. ; McGough, Robert J.
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
5805
Lastpage :
5808
Abstract :
Computed tomography (CT) is used for the attenuation correction of positron emission tomography (PET) to enhance the efficiency of data acquisition process and to improve the quality of the reconstructed PET data in the brain. Due to the use of two different modalities, chances of misalignment between PET and CT images are quite significant. The main cause of this misregistration is the motion of the patient during the PET scan and between the PET and CT scans. This misalignment produces an erroneous CT attenuation map that can project the bone and water attenuation parameters onto the brain, thereby under- or over-estimating the attenuation. To avoid the misregistration artifact and potential diagnostic misinterpretation, automated software for PET/CT brain registration has been developed. This software extracts the brain surface information from the CT and PET images and compensates for the translational and rotational misalignment between the two scans. This procedure has been applied to the dataset of a patient with visible perfusion defect in the brain, and the results show that the CTAC produced after the image registration eliminates that hypoperfusion artifact caused by the erroneous attenuation of the PET images.
Keywords :
brain; computerised tomography; data acquisition; diagnostic radiography; image reconstruction; image registration; medical image processing; positron emission tomography; attenuation correction; automated PET-CT brain registration; bone; brain surface information; computed tomography; data acquisition process; hypoperfusion artifact; image quality; image reconstruction; positron emission tomography; rotational misalignment; translational misalignment; visible perfusion defect; water attenuation parameters; CT; Misregistration; PET; attenuation correction; segmentation; Algorithms; Artifacts; Brain; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Positron-Emission Tomography; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, X-Ray Computed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5335188
Filename :
5335188
Link To Document :
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