introduction range and diffusion of positron-emitting radiopharmaceuticals are important parameters for image resolution in positron emission tomography (pet). in this study, geant4 toolkit was applied to study positron diffusion in soft tissues with and without a magnetic field for six commonly used isotopes in pet imaging including 11c, 13n, 15o, 18f, 68ga, and 82rb. materials and methods gea...

The objective of this tutorial is to train students and researchers in the various domains involving the modelling and simulation of the human body for medical purposes. Nowadays, a large panel of medical acquisitions devices are made available producing a large amount of information such as high-resolution volumes, temporal sequences or functional images. Although this information helps scient...

Neuroanatomical and neurofunctional studies are often referenced to a high resolution MR brain dataset. To allow intersubject comparisons of cortical structures, one needs to remove the outer hulls of the brain, align the dataset with a coordinate system and introduce a spatial normalization. We describe an image processing chain that combines all these steps in a single, interaction-free proce...

Introduction Range and diffusion of positron-emitting radiopharmaceuticals are important parameters for image resolution in positron emission tomography (PET). In this study, GEANT4 toolkit was applied to study positron diffusion in soft tissues with and without a magnetic field for six commonly used isotopes in PET imaging including 11C, 13N, 15O, 18F, 68Ga, and 82Rb. Materials and Methods GEA...

The main objective of the super resolution images is to enhance the quality of the multiple lower resolution images. Super Resolution image is constructed by using raw images. An Image with improved resolution is always desirable for various applications like satellite, medical etc. to enhance the qualitative features are the images. In this paper, Super Resolution Image Reconstruction (SRIR) i...

ABSTRACT: This paper proposes the method to develop a high-resolution image of urban properties from frequently observed low-resolution images based on the statistic process assuming urban properties have little temporal change. Because disaster responders sometimes have difficulty to obtain the map data in a digital form especially in developing countries, it is well known that satellite image...

Image resampling method using color edge-directed interpolation has been developed. It uses color image gradient to perform the interpolation across image gradient rather than along image gradient. The developed combined method takes color low resolution image and grayscale high resolution image obtained by a non-linear image resampling method as an input. It includes consecutive calculation st...

To solve the problem of high-resolution image alignment time overhead, an SIFT-based fast algorithm is presented. The overlap region images computed in detail by phase correlation to avoid a lot useless calculations non-overlapping region. After distribution feature points determined difference Gaussian through formula derivation, total number limited. more stable spatially distributed for obta...

Undersampling and aliasing occurs frequently in many imaging systems leading to degradation of image quality. Super-resolution attempts to reconstruct a high-resolution image by fusing the incomplete scene information contained in the sequence of under-sampled images. This paper investigates iterative approaches to super-resolution. We propose algorithm that utilises a relatively small number o...