PurposeThe aim of this study was to create and validate a normal brain template of F18-fluorodeoxyglucose (F18-FDG) uptake using the MIMneuro software to improve clinical practice.ApproachOne hundred and nine volunteers underwent an F18-FDG positron emission tomography/computed tomography scan. Sixty-three participants with normal Alzheimer’s disease (AD) biomarkers were used to create a template. A group of 23 participants with abnormal AD biomarkers and an additional group of 23 participants with normal AD biomarkers were used to validate the performance of the generated template. The MIMneuro software was used for the analysis and template creation. The performance of our newly created template was compared with that of the MIMneuro software template in the validation groups. Results were confirmed by visual analysis by nuclear medicine physicians.ResultsOur created template provided higher sensitivity, specificity, positive predictive value, and negative predictive value (NPV; 90%, 97.83%, 100%, and 100%, respectively) than did the MIMneuro template when using the positive validation group. Similarly, slightly higher performance was observed for our template than for the MIMneuro template in the negative validation group (the highest specificity and NPV were 100% and 100%, respectively).ConclusionsOur normal brain template for F18-FDG was shown to be clinically useful because it enabled more accurate discrimination between aging brain and patients with AD. Thus, the template may improve the accuracy of AD diagnoses.
KEYWORDS: Radioisotopes, Positron emission tomography, High dynamic range imaging, Nuclear medicine, Brain, Magnetic resonance imaging, Scanners, Digital imaging, MATLAB, Neuroimaging
The objective of this study was to the created surface of quantitative uptake value with radioactive tracer PET/CT in normal Thai brain. The surface was generated from the matrix of quantitative uptake value by MATLAB software. Data of PET/CT image was modified to High dynamic range imaging file format by MRI convert and merge together with ana75_2.mat, in this step surfacedata.mat was obtained. The surface data was taken to create a surface of quantitative uptake value to observing the distribution of radiopharmaceuticals in the region of interest.
KEYWORDS: Positron emission tomography, Magnetic resonance imaging, Brain, High dynamic range imaging, Image processing, Tomography, Dementia, Proteins, Digital image processing, Medicine
In this paper, we investigated 18F-THK5351 PET/CT image of normal Thai population for the optimized time of radioactive tracer PET/CT. Twenty-five volunteers without neurological or psychiatric illnesses and all of them have no abnormalities detected on neurologic examination. All subject were underdiagnosed on 18F-THK5351 PET/CT and 3.0 Tesla MR imaging. THK5351 PET/CT were operated on the co-registered MRI comprised for drawing an ROI. The DICOM file was converted to .img file, .hdr file and then merge with each other for obtaining an fmridata.mat. Position of ROI and fmridata.mat were used to plot graph showing the relationship between quantitative uptake with the frame of image. The optimized time of 18F-THK5351 PET/CT in normal Thai population is 50 to 70 minutes.
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