BACKGROUND AND PURPOSE I.v. FDCT angiography is an emerging technology for the detection of intracranial vascular disease. This study was conducted to determine the feasibility of i.v. FDCT in estimating major atherosclerotic intracranial arterial stenosis with DSA as the reference. MATERIALS AND METHODS DSA and i.v. FDCT were performed simultaneously in patients with transient ischemic attac...

This study investigated the effects of switching from combination therapy with either alogliptin (Alo) or pioglitazone (Pio) to fixed-dose combination therapy (FDCT) with alogliptin and pioglitazone (Alo-Pio FDCT). The usefulness and efficacy of Alo-Pio FDCT were investigated. A total of 50 outpatients with type 2 diabetes mellitus (T2DM) treated with Alo and 47 outpatients with T2DM treated wi...

BACKGROUND AND PURPOSE Flat detector CT (FDCT) has been used as a peri-interventional diagnostic tool in numerous studies with mixed results regarding image quality and detection of intracranial lesions. We compared the diagnostic aspects of the latest generation FDCT with standard multidetector CT (MDCT). MATERIALS AND METHODS 102 patients were included in our retrospective study. All patien...

In this paper we propose a new appearance based system which consists of two stages: visual speech feature extraction and classification, followed by recognition of the extracted feature, thereby the result is a complete lip-reading system. This lip-reading system employs our Hyper Column Model (HCM) approach to extract and classify the visual features and uses the Hidden Markov Model (HMM) for...

BACKGROUND AND PURPOSE Metallic implants induce massive artifacts in CT images which deteriorate image quality and often superimpose structures of interest. The purpose of this study was to apply and evaluate a dedicated MAR method for neuroradiologic intracranial clips and detachable platinum coiling events. We here report the first clinical results for MAR in FDCT. MATERIALS AND METHODS FDC...

In this paper, a novel feature extraction scheme is proposed, based on multiresolution fast discrete curvelet transform for computer-aided diagnosis of liver diseases. The liver is segmented from CT images using adaptive threshold detection and morphological processing. The suspected tumour region is extracted from the segmented liver using FCM clustering. The textural information obtained from...

Flat panel detectors have revolutionized tomographic imaging in the angio suite. Recent developments in hardware and software have improved soft tissue resolution and acquisition time even further, enabling soft-tissue and perfusion imaging within the angio suite. The so called “one-stop-shop” stroke imaging with flat panel detector computed tomography (FDCT) will significantly improve door to ...

Although Fourier and Wavelet Transform have been widely used for texture classification methods in medical images, the discrimination performance of FDCT has not been investigated so far in respect to breast cancer detection. Ιn this paper, three multi-resolution transforms, namely the Discrete Wavelet Transform (DWT), the Stationary Wavelet Transform (SWT) and the Fast Discrete Curvelet Transf...

The study evaluated the diagnostic accuracy of intravenous flat-detector computed tomography (IV FDCT) angiography in assessing hemodynamically significant cerebral vasospasm in patients with subarachnoid hemorrhage (SAH) with digital subtraction angiography (DSA) as the reference. DSA and IV FDCT were conducted concurrently in patients suspected of having symptomatic cerebral vasospasm postope...

Medical image fusion is designed to help physicians in their decisions by providing them with a preclinical enough information. Accurate assessment and effective treatment of the disease reduce time it takes relieve symptoms disease. This article utilizes an data approach work on two different imaging modalities; computed tomography (CT) magnetic resonance (MRI). The based combination singular ...