The software’s that are currently used in 3D image reconstruction are usually presented as a so called “black box”, which contains usually more algorithms. These algorithms are used in mathematics software like MatLab®, Mathematica®, Maple® and other. MatLab®, among others contain a very advanced module for image analysis and in the present work it will be presented a reconstruction of a test i...

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...

Tomography is the three-dimensional reconstruction of an object from images taken at different angles. The term classical tomography is used, when the imaging beam travels in straight lines through the object. This assumption is valid for light with short wavelengths, for example in xray tomography. For classical tomography, a commonly used reconstruction method is the filtered back-projection ...

Radiation dose reduction is a very topical problem in medical X-ray CT imaging and plenty of strategies have been introduced recently. Hybrid iterative reconstruction algorithms are one of them enabling dose reduction up to 70 %. The paper describes data preprocessing and feature extraction from iteratively reconstructed images in order to assess their quality in terms of image noise and compar...

BACKGROUND In computed tomography (CT), there is increasing concern for potential CT radiation hazards. Several raw-data-based iterative reconstruction techniques attempt to facilitate low-dose imaging without compromising image quality, which raises the question whether these techniques may allow further dose reduction. PURPOSE To compare image quality of iterative reconstruction and filtere...

This study demonstrates the degradation in image quality, and subsequent dose evaluation inaccuracies, that are encountered when an optical-CT system reconstructs an image slice of a gel dosimeter containing an opaque implant, and evaluates the feasibility of a simple correction method to improve the accuracy of radiotherapy dose distribution measurements under these circumstances. MATLAB was u...

Sub-second temporal-resolution tomographic microscopy is becoming a reality at third-generation synchrotron sources. Efficient data handling and post-processing is, however, difficult when the data rates are close to 10 GB s(-1). This bottleneck still hinders exploitation of the full potential inherent in the ultrafast acquisition speed. In this paper the fast reconstruction algorithm gridrec, ...

Volume rendering techniques are conventionally classified as either direct or indirect methods. Indirect methods require to transform the initial volumetric model into an intermediate geometrical model in order to efficiently visualize it. In contrast, direct volume rendering (DVR) methods can directly process the volumetric data. Modern CT scanners usually provide data as a set of samples on a...

We compared a Bayesian reconstruction method with conventional filtered back projection (FBP) method in positron emission tomography (PET). In the medical scene, PET scanning plays an important role for functional diagnosis such like measuring the cerebral glucose metabolisms. Tomographic image is reconstructed from the observed data, which is the recieved signals from administrated-radioactive...

We report on novel developments of the DIRECTT (Direct Iterative Reconstruction of Computed Tomography Trajectories) algorithm. Details are discussed for model calculations in order to elucidate its universal character for parallel and fan beam geometry. Our approach represents a promising alternative to the conventional filtered back-projection (FP). Instead of Fourier transforming single proj...