GUOWanhua ZHANG Jiange JIANG Xufeng ZHANG Liying LUZhongwei LI Peiyong ZHU Chengnio PAN Jiapu. Automatic extraction analysis of the anatomical functional area for normal brain 18F-FDG PET imaging[J]. Nuclear techniques, 2003, (11): 853-857.
GUOWanhua ZHANG Jiange JIANG Xufeng ZHANG Liying LUZhongwei LI Peiyong ZHU Chengnio PAN Jiapu. Automatic extraction analysis of the anatomical functional area for normal brain 18F-FDG PET imaging[J]. Nuclear techniques, 2003, (11): 853-857.DOI:
Automatic extraction analysis of the anatomical functional area for normal brain 18F-FDG PET imaging
Using self-designed automatic extraction software of brain functional area
the grey scale distribution of 18F-FDG imaging and the relationship between the 18F-FDG accumulation of brain anatomic function area and the 18F-FDG injected dose
the level of glucose
the age
etc.
were studied. According to the Talairach coordinate system
after rotation
drift and plastic deformation
the 18F-FDG PET imaging was registered into the Talairach coordinate atlas
and then the average gray value scale ratios between individual brain anatomic functional area and whole brain area was calculated. Further more the statistics of the relationship between the I8F-FDG accumulation of every brain anatomic function area and the I8F-FDG injected dose
the level of glucose and the age were tested by using multiple stepwise regression model. After images’ registration
smoothing and extraction
main cerebral cortex of the 18F-FDG PET brain imaging can be successfully localized and extracted
such as frontal lobe
parietal lobe
occipital lobe
temporal lobe
cerebellum
brain ventricle
thalamus and hippocampus. The average ratios to the inner reference of every brain anatomic functional area were 1.01 ± 0.15. By multiple stepwise regresion with the exception of thalamus and hippocampus
the grey scale of all the brain functional area was negatively correlated to the ages
but with no correlation to blood sugar and dose in all areas. To the I8F-FDG PET imaging
the brain functional area extraction program could automatically delineate most of the cerebral cortical area
and also successfully reflect the brain blood and metabolic study
but extraction of the more detailed area needs further investigation.