منابع مشابه
Intravascular ultrasound image interpretation
In this study, statistical and fractal texture analysis was used to assess the ability of 30MHz Intravascular Ultrasound (IVUS) data, in raw and scan-converted form, to characterise atherosclerotic plaque. Data from 3 different plaque groups was assessed in the study, these were, loose fibrotic tissue (LFT), dense fibrotic tissue (DFT) and calcium (CA). The composition of each group was verifie...
متن کاملA Cost Effective Simulator for Education of Ultrasound Image Interpretation and Probe Manipulation
Ultrasonography is the lowest cost no risk medical imaging technique. However, reading an ultrasonographic (US) image as well as performing a good US probe positioning remain difficult tasks. Education in this domain is today performed on patients, thus limiting it to the most common cases. In this paper, we present a cost effective simulator that allows US image practice and realistic probe ma...
متن کاملInterpretation of carotid and vertebral ultrasound
Merrill P Spencer and John M Reid applied the Hagen-Poiseuillelaw, continuity principle, and cerebrovascular resistance to de-scribe a theoretical model of the relationship between theflow velocity, flow volume, and decreasing size of the resid-ual vessel lumen. The model was plotted in a graph that be-came widely known as the Spencer’s curve. Although derivedfor a smoot...
متن کاملMultimodal image fusion in ultrasound-based neuronavigation: improving overview and interpretation by integrating preoperative MRI with intraoperative 3D ultrasound.
OBJECTIVE We have investigated alternative ways to integrate intraoperative 3D ultrasound images and preoperative MR images in the same 3D scene for visualizing brain shift and improving overview and interpretation in ultrasound-based neuronavigation. MATERIALS AND METHODS A Multi-Modal Volume Visualizer (MMVV) was developed that can read data exported from the SonoWand neuronavigation system...
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ژورنال
عنوان ژورنال: KYAMC Journal
سال: 2013
ISSN: 2308-2860,2308-2720
DOI: 10.3329/kyamcj.v3i2.15172