FIPS: A Functional Image Processing System for PET Dynamic Studies
نویسندگان
چکیده
Positron emission tomography (PET) imaging can provide quantitative physiological information, in addition to qualitative information. However, most of PET image handling software packages have not included modeling and quantitative analysis functions. In this paper, based on some of our systematic studies on biomedical functional image data processing and modeling, we developed a functional image processing system (FIPS), which is a completely interactive window-based processing system including features for brain PET dynamic studies.
منابع مشابه
Assessment of the Wavelet Transform for Noise Reduction in Simulated PET Images
Introduction: An efficient method of tomographic imaging in nuclear medicine is positron emission tomography (PET). Compared to SPECT, PET has the advantages of higher levels of sensitivity, spatial resolution and more accurate quantification. However, high noise levels in the image limit its diagnostic utility. Noise removal in nuclear medicine is traditionally based on Fourier decomposition o...
متن کاملEffect of Post-Reconstruction Gaussian Filtering on Image Quality and Myocardial Blood Flow Measurement with N-13 Ammonia PET
Objective(s): In order to evaluate the effect of post-reconstruction Gaussian filtering on image quality and myocardial blood flow (MBF) measurement by dynamic N-13 ammonia positron emission tomography (PET), we compared various reconstruction and filtering methods with image characteristics. Methods: Dynamic PET images of three patients with coronary artery disease (male-female ratio of 2:1; a...
متن کاملA Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images
Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...
متن کاملFunction-valued image segmentation using functional kernel density estimation
Introduction. More and more image acquisition systems record high-dimensional vectors for each pixel, as it is the case for hyperspectral imaging or dynamic PET imaging, to cite only them. In hyperspectral imaging, each pixel is associated with a light-spectrum containing up to several hundreds of radiance values, each corresponding to narrow spectral bands. In dynamic PET images, each pixel is...
متن کاملImplementation of quadratic dose protocol for 18F-FDG whole-body PET imaging using a BGO-based PET/CT scanner, GE Discovery ST
Introduction: The ability of quadratic dose protocol to maintain a good quality image for an overweight and obese patient is well reported. However, a practical approach to the implementation of this protocol in whole-body imaging in Malaysia is currently lacking. Hence, the aim of this study is to derive the quadratic dose formula that suits our PET system. Metho...
متن کامل