Introduction: Since demand for computed tomography (CT) examinations is growing, patients are exposed more frequently to ionizing radiation. To reduce the dose delivered to patients in each scan, CT technologists can change the image acquisition parameters. However, this reduces image quality. Present study aimed to optimize and reduce radiation dose in a CT of the paranasal si...

In this paper image-based techniques for 3D surface reconstruction are presented which are especially suitable for (but not limited to) coplanar light sources. The first approach is based on a single-image shape from shading scheme, combined with the evaluation of at least two further images of the scene that display shadow areas. The second approach allows the reconstruction of surfaces by an ...

Exploiting sparsity in the image gradient magnitude has proved to be an effective means for reducing the sampling rate in the projection view angle in computed tomography (CT). Most of the image reconstruction algorithms, developed for this purpose, solve a nonsmooth convex optimization problem involving the image total variation (TV). The TV seminorm is the `1 norm of the image gradient magnit...

Introduction: The quality of CT images used for treatment planning of cancer patients is an important issue in accurate outlining of the tumor volume and organs at risk. Different kernels in CT scanner systems are available for improving the image quality. Applying these kernels  on   CT  images  will  change   the   CT  numbers  and  electron   density   of   tissues, conse...

background motion artifacts that degrade image quality of coronary ct angiography (ccta) in patients with high heart rates may be reduced with specific automatic motion correction algorithms (amc). conclusions ccta image quality improves significantly with amc in patients with high heart rates and reduces the proportion of non-diagnostic examinations. results mean heart rate during ccta was 61 ...

Image resolution in 4D-CT is a crucial bottleneck that needs to be overcome for improved dose planning in radiotherapy for lung cancer. In this paper, we propose a novel patch-based algorithm to enhance the image quality of 4D-CT data. Our premise is that anatomical information missing in one phase can be recovered from complementary information embedded in other phases. We employ a patch-based...

While the Anger gamma camera was dominant for several decades for nuclear medicine imaging, there are a number of significant developments in progress. The large increase of the usage of PET scanners has been a result of new detector materials such as LSO, GSO, YAP etc, improved electronics and algorithms such as list mode reconstruction and in particular the combination with CT. Finally althou...

OBJECTIVE The purpose of this study was to evaluate the image noise, low-contrast resolution, image quality, and spatial resolution of adaptive statistical iterative reconstruction in low-dose body CT. MATERIALS AND METHODS Adaptive statistical iterative reconstruction was used to scan the American College of Radiology phantom at the American College of Radiology reference value and at one-ha...