The design of a CCD-based codec preprocessor integrated with an areal imager is presented. The imager is a 256x256 buried channel frame transfer device with 15x15 um2pixels. Conventionally, imagers deliver pixel data in a raster-scan sequential format. Typical of many image processing tasks, the image coding scheme used in our lossless compression algorithm requires 3x3 pixel neighborhood block...

Total-variation (TV)-based CT image reconstruction has shown experimentally to be capable of producing accurate reconstructions from sparse-view data. In particular TV-based reconstruction is very well suited for images with piecewise nearly constant regions. Computationally, however, TV-based reconstruction is much more demanding, especially for 3D imaging, and the reconstruction from clinical...

Since the introduction of clinical CT great improvements in scan time, patient comfort and resolution have been made. The first clinical CT scanner dates from 1972 and was developed by Godfrey Hounsfield. It required an acquisition time of 5 minutes and reconstruction of one image took 7 minutes . In the following years CT systems improved rapidly and by 1976 acquisition time for one CT image h...

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...

This paper investigates a highly parallel extension of the single-pixel camera based on a focal plane array. It discusses the practical challenges that arise when implementing such an architecture and demonstrates that system-specific optical effects must be measured and integrated within the system model for accurate image reconstruction. Three different projection lenses were used to evaluate...

A computed 3D imaging system based on local image reconstruction (LIR) using Wavelets Sampling Model is presented. In this paper, by means of combination of wavelets sampling model and singular value decomposition, moderate CT image with least squares of error can be reconstructed from a limited number of projections by only once operation of matrix multiplication. As a result, local image reco...

In this paper we describe and evaluate an image-based spectral CT method. Its central formula expresses measured CT data as a spectral integration of the spectral attenuation coefficient multiplied by a Local Weighting Function (LWF). The LWF represents the local energy weighting in the image domain, taking into account the system and reconstruction properties and the object self attenuation. A...

BACKGROUND Model-based iterative reconstruction (MBIR) is a promising reconstruction method which could improve CT image quality with low radiation dose. The purpose of this study was to demonstrate the advantage of using MBIR for noise reduction and image quality improvement in low dose chest CT for children with necrotizing pneumonia, over the adaptive statistical iterative reconstruction (AS...

Improving Statistical Image Reconstruction for Cardiac X-ray Computed Tomography by Jang Hwan Cho Chair: Jeffrey A. Fessler X-ray computed tomography (CT) is one of the most widely used imaging modalities for medical diagnosis. Recent advancements in CT scanner technology have led to increased use of CT in various applications. Unfortunately, these technological advances in CT imaging pose new ...