Signal-to-noise measurements utilizing a novel dual-energy multimedia detector

Dual-energy measurements are presented utilizing a novel slot-scan digital radiographic imaging detector, operating on gaseous solid state ionization principles. The novel multimedia detector has two basic functional components: a noble gas-filled detector volume operating on gas microstrip principles, and a solid state detector volume. The purpose of this study is to investigate the potential use of this multimedia detector for enhanced dual-energy imaging. The experimental results indicate that the multimedia detector exhibits a large subtracted signal-to-noise ratio. Although the intrinsic merit of this device is being explored for medical imaging, potential applications of the multimedia detector technology in other industrial areas, such as aerospace imaging, aviation security, and surveillance, are also very promising

Noninvasive imaging for the new century

6nonenoneG. C. GIAKOS; M. PASTORINO; RUSSO F.; S. CHOWDHURY; N. SHAH; W. DAVROSG. C., Giakos; M., Pastorino; Russo, Fabrizio; S., Chowdhury; N., Shah; W., Davro

Signal Evaluation of a Novel Dual-energy Multimedia Imaging Sensor

In this study, experimental results on the signal quality of a multimedia imaging detector, operating on gaseous solid state ionization principles, with specific emphasis on single X-ray exposure dual-energy radiography, are presented. The results of this study indicate that the multimedia detector technology exhibits excellent signal characteristics suitable for a large number of imaging applications

Measurement methodologies for assessing the glycolysis effect in the discrimination and therapy of brain gliomas

Summarization: Primary brain tumors refer to those developing from the various types of cells that compose the brain. Gliomas represent about 50% of all primary brain tumors and include a variety of different histological tumor types and malignancy grades. The World Health Organization (WHO) classifies gliomas into four histological types and four grades. The goal of molecular classification using advanced pattern recognition tools is to identify subgroups of tumors with distinct biological and clinical features and initiate the challenge of classifying complex gliomas of similar histology and malignancy status into distinct categories. The aim of this paper is to i) present the measurement procedures and analysis methodologies, ii) summarize the currently available knowledge related to the utilization of ’omics’ measurements in the discrimination of brain gliomas, and iii) provide a scientific basis for future medical practice in the discrimination and treatment of brain gliomas based specifically on the metabolic process of glycolysis. In particular, the paper explores the idea of the glycolysis pathway as a critical concept for the development of therapeutic strategies for brain gliomas.Παρουσιάστηκε στο: International Journal of Monitoring and Surveillance Technologies Researc