An evaluation on CT image acquisition method for medical VR applications

2017 ◽  
Author(s):  
Seong-wook Jang ◽  
Junho Ko ◽  
Yon-sik Yoo ◽  
Yoonsang Kim
Keyword(s):  
Image Acquisition ◽  
Ct Image ◽  
Acquisition Method

Cardiovascular Computed Tomography

2019 ◽  
Keyword(s):  
Computed Tomography ◽  
Technological Progress ◽  
Image Acquisition ◽  
Ct Scans ◽  
Ct Image ◽  
Ct Scanner ◽  
Reference Guide ◽  
Hands On ◽  
International Experts ◽  
Cardiovascular Ct

Recent years have seen a marked increase in cardiovascular computed tomography (CT) imaging, with the technique now integrated into many imaging guidelines, including those published by NICE. Rapid clinical and technological progress has created a need for guidance on the practical aspects of CT image acquisition, analysis, and interpretation. The Oxford Specialist Handbook of Cardiovascular CT, now revised for the second edition by practising international experts with many years of hands-on experience, is designed to fulfil this need. The handbook is a practical guide on performing, analysing, and interpreting cardiovascular CT scans, covering all aspects from patient safety to optimal image acquisition to differential diagnoses of tricky images. The format is designed to be accessible and is laid out in easy to navigate sections. It is meant as a quick-reference guide, to live near the CT scanner, workstation, or on the office shelf.

scholarly journals The Method of Automatic Knuckle Image Acquisition for Continuous Verification Systems

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 624
Author(s):  
Rafal Doroz
Keyword(s):  
Pattern Recognition ◽  
Image Acquisition ◽  
Test Results ◽  
High Effectiveness ◽  
Camera Image ◽  
Automatic Location ◽  
Pattern Recognition Approach ◽  
Computer Keyboard ◽  
Verification Systems ◽  
Acquisition Method

The paper proposes a method of automatic knuckle image acquisition for continuous verification systems. The developed acquisition method is dedicated for verification systems in which the person being verified uses a computer keyboard. This manner of acquisition enables registration of the knuckle image without interrupting the user’s work for the time of acquisition. This is an important advantage, unprecedented in the currently known methods. The process of the automatic location of the finger knuckle can be considered as a pattern recognition approach and is based on the analysis of symmetry and similarity between the reference knuckle patterns and live camera image. The effectiveness of the aforesaid approach has been tested experimentally. The test results confirmed its high effectiveness. The effectiveness of the proposed method was also determined in a case where it is a part of a multi-biometric method.

An Iris Image Acquisition Method Based on Embedded System

2013 ◽  
Vol 313-314 ◽  
pp. 1197-1200
Author(s):  
Qi Jian Sun ◽  
Zheng Ma
Keyword(s):  
Embedded System ◽  
Traditional Method ◽  
Quality Evaluation ◽  
Control Function ◽  
Image Acquisition ◽  
High Quality ◽  
Iris Image ◽  
Acquisition Speed ◽  
Pass Through ◽  
Acquisition Method

Capturing an iris image rapidly is required for iris image acquisition embedded system. For the traditional method, an iris image must firstly pass through the quality evaluation, which is complex, so the acquisition speed is very slow. This paper described an iris acquisition embedded system, and a new capturing method. The system includes an DSP DM642, and some relevant peripherals. When an image is acquired, it is filtered by the capture-control function, if passed then be stored the image, until capturing the assigned amount. Using this method, we can rapidly capture the high quality iris images at about 0.8s, and 83% of the stored images can be used for the next procedure. At the same time, it is convenient for the user to capture.

New automated iris image acquisition method

2005 ◽  
Vol 44 (5) ◽  
pp. 713 ◽  
Author(s):  
Kang Ryoung Park
Keyword(s):  
Image Acquisition ◽  
Iris Image ◽  
Acquisition Method
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