Quantitative image analysis based on Image registration of brain MR and SPECT for dopamine transporter imaging
Takeshi Hara1, Yuta Takeda1, Tetsuro Katafuchi2, Taiki Nozaki3, Masaki Matsusako3, and Hiroshi Fujita1
1Intelligent Image Information, Gifu University Graduate School of Medicine, Gifu, Japan, 2Health Science, Gifu University of Medical Science, Seki, Japan, 3Radiology, St. Luke's International Hospital, Tokyo, Japan
Features in Parkinson's disease (PD) are a
degeneration and loss of the dopamine neurons in striatum. 123I-FP-CIT can
visualize the distribution by binding to the dopamine neurons. The
radioactivated medicine is used for diagnosis of PD and Dementia with Lewy Bodies
(DLB). The material can visualize activities in corpus striatum on SPECT
images, but the location of the corpus striatum on SPECT images are often lost
because of the low uptake. To realize a quantitative image analysis for the
SPECT images, image registration technique to determine the region of corpus
striatum on SPECT images are required to measure precise uptakes. In this
study, we proposed an image fusion technique for SPECT and MR images by
intervening CT image taken by SPECT/CT. We employed 30 cases of SPECT/CT and MR cases for the evaluation. 25 of 30 cases were registered correctly with registration errors less than 5mm. These results enable to measure precise uptake on SPECT images based on the segmentation results on MR images.
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