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Imaging technology

About: Imaging technology is a research topic. Over the lifetime, 1450 publications have been published within this topic receiving 26186 citations.


Papers
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Proceedings ArticleDOI
02 Mar 2020
TL;DR: A new generation PACS (Picture Archiving and Communication System) based on artificial intelligent visualization that realizes the man-machine interaction in a personalized, fast, comprehensive, quantitative and easy-to-understand way is proposed.
Abstract: This paper proposed a new generation PACS (Picture Archiving and Communication System) based on artificial intelligent visualization. It is developed from our GRIDPACS (patent number: US8805890), which combined with IHE XDS-I profile, to implement images communication, storage and display. It also uses 3D anatomical visualization model to extract multi-source data from PACS/RIS/HIS/EMR, to express patient disease location, size and severity, which was introduced as Visual Patent (VP) at previous SPIE Medical Imaging (SPIE MI 2018). It can integrate the training model of AI Imaging Diagnosis, to mark the focus and display the disease trends. The system not only has the original PACS functions, but also realizes the man-machine interaction (images and electronic medical record information between radiologist and patient) in a personalized, fast, comprehensive, quantitative and easy-to-understand way. It can be used in various medical institutions, image diagnostic centers, and imaging cloud, to support the healthy development of imaging technology in China.

2 citations

Patent
23 Oct 2018
TL;DR: In this article, a quick phased array ultrasonic whole-focusing imaging technology is proposed, which includes steps of separating a collected full-matrix data A*NRX*NTX into N two-dimensional sub-matrices An* NRX; performing virtual focusing to all sub-mrix data by means of algorithm based on two dimensional forward/inverse Fourier transform; performing circulation calculation to acquire the two dimensional focusing images of the first to Nth submrixes; and finally fusing the twodimensional focusing image of all submatrixes to
Abstract: The invention discloses a quick phased array ultrasonic whole-focusing imaging technology, which includes steps of: separating a collected full-matrix data A*NRX*NTX into N two-dimensional sub-matrixdata An*NRX; performing virtual focusing to all sub-matrix data by means of algorithm based on two-dimensional forward/inverse Fourier transform; performing circulation calculation to acquire the two-dimensional focusing images of the first to Nth sub-matrixes; finally fusing the two-dimensional focusing images of all sub-matrixes to form the whole-focusing image. The method is expected to solve aproblem that a phased array ultrasonic fault detector cannot achieve real-time whole-focusing imaging, can quickly and effectively achieve high-precise quantization, positioning and qualification tointernal defects of materials, and has great promotion and application prospect.

2 citations

Patent
20 Oct 2017
TL;DR: In this article, a multiphase flow imaging method based on a gamma photon computer tomography imaging technology is described, where a marker is prepared, and a multi-phase flow material is marked; 2, a fluid device and a detecting device run; 3, acquisition data is obtained, and 4, a detection image is obtained.
Abstract: The invention relates to a multiphase flow imaging method based on a gamma photon computer tomography imaging technology and belongs to the field of multiphase flow measurement. The multiphase flow imaging method comprises the following steps that 1, a marker is prepared, and a multiphase flow material is marked; 2, a fluid device and a detecting device run; 3, acquisition data is obtained, and a computer is utilized to perform data recombination and reconstruction; 4, a detection image is obtained. The method is not limited by fluid device materials and fluid properties and has higher flexibility, and different imaging structures algorithms can be flexibly adopted according to shapes of devices to be detected.

2 citations

Proceedings ArticleDOI
Shiyi Yang1, Wu Ren1, Shutao Fang1, Zhenghui Xue1, Weiming Li1 
01 May 2018
TL;DR: A radar coincidence imaging method based on pseudoinverse algorithm and iterative operation is proposed to reconstruct images of targets in a noisy environment and can be used for both continuous targets and discrete targets.
Abstract: Microwave coincidence imaging (RCI) is a novel imaging technology motivated by classical coincidence imaging which has been realized in optical systems. RCI can obtain focused high resolution images of targets and overcome the shortages of conventional radar imaging technology which is highly dependent on time delay and Doppler analysis. In this paper, a radar coincidence imaging method based on pseudoinverse algorithm and iterative operation is proposed to reconstruct images of targets in a noisy environment. Such method is easy to achieve and can be used for both continuous targets and discrete targets. Furthermore, the time-delay compensation is considered which can enhance the image quality.

2 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202312
202224
202190
202091
201984
201879