Image quality in cranial computed tomography

[A Review of Current Knowledge for X-ray Energy in CT: Practical Guide for CT Technologist]

In computed tomography (CT) systems, the optimal X-ray energy in imaging depends on the material composition and the subject size. Among the parameters related to the X-ray energy, we can arbitrarily change only the tube voltage. For years, the tube voltage has often been set at 120 kVp. However, since about 2000, there has been an increasing interest in reducing radiation dose, and it has led to the publication of various reports on low tube voltage. Furthermore, with the spread of dual-energy CT, virtual monochromatic X-ray images are widely used since the contrast can be adjusted by selecting the optional energy. Therefore, because of the renewed interest in X-ray energy in CT imaging, the issue of energy and imaging needs to be summarized. In this article, we describe the basics of physical characteristics of X-ray attenuation with materials and its influence on the process of CT imaging. Moreover, the relationship between X-ray energy and CT imaging is discussed for clinical applications.

Technological developments of X-ray computed tomography over half a century: User's influence on protocol optimization

Since the introduction of Computed Tomography (CT), technological improvements have been impressive. At the same time, the number of adjustable acquisition and reconstruction parameters has increased substantially. Overall, these developments led to improved image quality at a reduced radiation dose. However, many parameters are interrelated and part of automated algorithms. This makes it more complicated to adjust them individually and more difficult to comprehend their influence on CT protocol adjustments. Moreover, the user's influence in adapting protocol parameters is sometimes limited by the manufacturer's policy or the user's knowledge. As a consequence, optimization can be a challenge. A literature search in Embase, Medline, Cochrane, and Web of Science was performed. The literature was reviewed with the objective to collect information regarding technological developments in CT over the past five decades and the role of the associated acquisition and reconstruction parameters in the optimization process.

The effect of skull volume and density on differentiating gray and white matter on routine computed tomography scans of the head

Increased volume and density of the skull makes computed tomography differentiation of gray and white matter (GM and WM, respectively) more difficult. The purpose of this investigation was to study the effects of skull volume and bone density on GM and WM differentiation. A total of 21 patients with thick skulls and 22 controls were included in this study. Three consecutive slices from the computed tomography scan were analyzed. The basal ganglia had to be visualized on at least 1 slice. Calvarial volume measurement, mean pixel value in each slice, and Hounsfield unit difference between WM and GM, were compared between the thick-skulled and control groups. The mean bone volume of each slice in the thick-skulled group was 55.7, 54.3, and 56 mL, whereas the mean volume of each slice in the normal group was 39.3, 38.5, and 39.9 mL (P < 0.001). In our series, patients with thick skulls had 41% more bone volume than the normal group. The mean skull pixel value in each slice was 935.9 in patients with thick skulls and 987 in patients in the normal group. There was no difference between right and left sides of the same group of patients. Patients with larger volumes of skull have significant decrease in the Hounsfield unit of the GM and WM compared with the control group. As a result, diagnosing any low-contrast brain abnormality including early/subtle infarction in subjects with a thicker calvarium may be more difficult.

The role of neuroimaging in dementia

Potential new therapies for the treatment of Alzheimer's disease demand early and accurate diagnosis. Although clinical evaluation is generally sufficient when the disease is well established, neuroimaging tools are helpful to detect the earliest changes of Alzheimer's disease or differentiate Alzheimer's disease from the other forms of dementia. This article reviews the basic concepts of brain imaging and clinical application. It concludes with a brief discussion of future directions in neuroimaging for the diagnosis and longitudinal follow-up of Alzheimer's disease.

A comparison between the computed tomogram and the neuropathological findings in cerebrovascular disease

The findings on computed tomography (CT) and neuropathological examinations were correlated in 87 autopsied cases of cerebrovascular disease with regard to the seize and location of lesions, experience of reviewers, and improvement in CT quality. Small infarctions less than 5 mm were very difficult to detect accurately on CT. This was largely because of the limitations in the efficiency of the CT scanner. Accurate diagnosis of medium sized infarctions was also often difficult. This was mainly due to the anatomical location of lesions, the confluence of deep and widened sulci, periventricular white matter, and structures in the posterior fossa. Large infections could be visualized easily on CT, except in their early periods or in cases with hemorrhagic infarctions. The improved accuracy of CT diagnosis for small and medium sized infarctions could not be attained by the experience of reviewers, but was only possible by instrumental improvement of CT quality.