DocumentCode :
2552530
Title :
Automated Software for PET/CT Image Registration to Avoid Unnecessary Invasive Cardiac Surgery
Author :
Khurshid, Kiran ; Berger, Kevin ; Khurshid, Kiran ; McGough, Robert J.
Author_Institution :
Michigan State Univ., East Lansing, MI
fYear :
2006
fDate :
23-24 Dec. 2006
Firstpage :
498
Lastpage :
503
Abstract :
Computed tomography (CT) is used for the attenuation correction of positron emission tomography (PET) to enhance the efficiency of data acquisition process but due to the use of two different modalities chances of misalignment between PET and CT images are quite significant. There are multiple causes of this misalignment, the most important being the respiratory motion of the patient. The position of the heart in PET and CT can have a difference of up to 2 cm along the long axis of the body. If such a misaligned CT attenuation correction map is used for the PET reconstruction it will cause erroneous results by projecting the lungs attenuation parameters on the cardiac wall creating false areas of hypoperfusion which may be misinterpreted as myocardial ischemia or infarction and can lead to unnecessary invasive procedure like bypass or angioplasty. In this paper, an automated cardiac software alignment method is proposed to overcome this motion artifact. PET and CT heart geometries are aligned using efficient real time image processing techniques and results of this optimization procedure have been evaluated on 100 PET/CT cardiac data sets producing accurate cardiac alignment which eliminated PET/CT misregistration attenuation correction artifact.
Keywords :
automatic programming; cardiology; computerised tomography; image registration; medical image processing; positron emission tomography; surgery; PET/CT image registration; attenuation correction map; automated software; cardiac alignment; cardiac surgery; computed tomography; data acquisition process; heart geometries; image processing; positron emission tomography; Attenuation; Computed tomography; Data acquisition; Heart; Image reconstruction; Image registration; Lungs; Myocardium; Positron emission tomography; Surgery; CT; PET; attenuation correction; c-mean clustering; misregistration; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multitopic Conference, 2006. INMIC '06. IEEE
Conference_Location :
Islamabad
Print_ISBN :
1-4244-0795-8
Electronic_ISBN :
1-4244-0795-8
Type :
conf
DOI :
10.1109/INMIC.2006.358218
Filename :
4196461
Link To Document :
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