Recently, artificial intelligence (AI) has been widely applied in the diagnosis and treatment of urinary diseases with the development of data storage, image processing, pattern recognition and machine learning technologies. Based on the massive biomedical big data of imaging and histopathology, many urinary system diseases (such as urinary tumor, urological calculi, urinary infection, voiding dysfunction and erectile dysfunction) will be diagnosed more accurately and will be treated more individualizedly. However, most of the current AI diagnosis and treatment are in the pre-clinical research stage, and there are still some difficulties in the wide application of AI. This review mainly summarizes the recent advances of AI in the diagnosis of prostate cancer, bladder cancer, kidney cancer, urological calculi, frequent micturition and erectile dysfunction, and discusses the future potential and existing problems.
Artificial Intelligence ; trends ; Diagnosis, Computer-Assisted ; trends ; Humans ; Image Processing, Computer-Assisted ; Urologic Diseases ; diagnosis

Image-guided neurosurgery is playing a more and more important role in modern neurosurgical therapy. The current trend is to construct an open platform for image-guided neurosurgery, to make applied researches of various new therapeutic techniques, and finally to integrate them into the clinical image-guided neurosurgery system.
Image Processing, Computer-Assisted ; Neurosurgery ; methods ; trends ; Surgery, Computer-Assisted ; trends

The development of medical image segmentation technology has been briefly reviewed. The applications of auto-segmentation of organs at risk and target volumes based on Atlas and deep learning in the field of radiotherapy have been introduced in detail, respectively. Then the development direction and product model for general automatic sketching tools or systems based on solid clinical data are discussed.
Image Processing, Computer-Assisted ; Radiotherapy/trends* ; Radiotherapy Planning, Computer-Assisted ; Technology ; Tomography, X-Ray Computed

We searched and retrieved literature on the topic of medical image processing published on SCI journals in the past 10 years. We then imported the retrieved literature into TDA for data cleanup before data analysis and pro cessing by EXCLE and UCINET to generate tables and figures that could indicate disciplinary correlation and research hotspots from the perspective of bibliometrics. The results indicated that people in Europe and USA were leading researchers on medical image processing with close international cooperation. Many disciplines contributed to the fast development of medical image processing with intense interdisciplinary researches. The papers that we found show recent research hotspots of the algorithm, system, model, image and segmentation in the field of medical image processing. Cluster analysis on key words of high frequency demonstrated complicated clustering relationship.
Algorithms ; Bibliometrics ; Cluster Analysis ; Diagnostic Imaging ; trends ; Humans ; Image Processing, Computer-Assisted ; trends ; International Cooperation

MR diffusion tensor imaging (DT-MRI) is a new technology which reflects the direction of molecule diffusion better than traditional diffusion weighted imaging (DWI) does. DT-MRI has great advantages of showing the distribution of white matter fiber path and its spatial structures because the water molecules in brain white matters have the obvious anisotropic diffusion. This paper introduces the basics of diffusion tensor imaging, and reviews the visualization methods used with DT-MRI.
Brain ; pathology ; Brain Mapping ; methods ; Diffusion Magnetic Resonance Imaging ; methods ; trends ; Humans ; Image Enhancement ; methods ; Image Processing, Computer-Assisted ; methods

It is particularly important for telediagnosis to transmit diagnostic video in real time. Firstly, we introduce image compression, multithread and multicast technology, then a solution is provided for the real-time video transmission system based on TCP/IP LAN.
Computer Communication Networks ; Data Compression ; methods ; Diagnosis, Computer-Assisted ; Equipment Design ; Image Processing, Computer-Assisted ; Software ; Telemedicine ; instrumentation ; trends ; Video Recording ; instrumentation

Within six months of the discovery of X-ray in 1895, the technology was used to scan the interior of the human body, paving the way for many innovations in the field of medicine, including an ultrasound device in 1950, a CT scanner in 1972, and MRI in 1980. More recent decades have witnessed developments such as digital imaging using a picture archiving and communication system, computer-aided detection/diagnosis, organ-specific workstations, and molecular, functional, and quantitative imaging. One of the latest technical breakthrough in the field of radiology has been imaging genomics and robotic interventions for biopsy and theragnosis. This review provides an engineering perspective on these developments and several other megatrends in radiology.
Biological Markers/analysis ; Biomedical Engineering ; Diagnosis, Computer-Assisted/*trends ; Diagnostic Imaging/*trends ; Equipment Design ; Genomics ; Humans ; Image Processing, Computer-Assisted/*trends ; Radiology Information Systems/*trends ; Robotics ; Systems Integration ; User-Computer Interface

In this paper a brief history of the development of PACS in China is reviewed, the current status of PACS is presented, and its development in the future is discussed.
China ; Humans ; Image Processing, Computer-Assisted ; Medical Records Systems, Computerized ; Radiology Information Systems ; organization & administration ; trends ; Technology, Radiologic

In this paper, a review of a new electrical impedance tomography technique-magnetic resonance electrical impedance tomography (MREIT) is presented. Some medical imaging methods are briefly introduced. The basic theory of MREIT is given as well as its realization methods and developing status. The merits and challenges of this new trend are also demonstrated.
Electric Impedance ; Humans ; Image Processing, Computer-Assisted ; methods ; Magnetic Resonance Imaging ; methods ; Tomography ; methods ; trends ; Tomography, X-Ray Computed ; methods

There are many noise disturbances in ultrasound image, and the surgical treatments are in great request for medical image, but the three dimensional image based on traditional surface graphics method cannot satisfy the request. Nevertheless, researches on visualization technology involves the denotation, operation and vision of the volume data the object contains, and the volume data contains ampler and more intact information than does the surface, therefore visualization technology will be widely used in the field of three dimensional medical image.
Computer Graphics ; Computer Simulation ; Diagnostic Imaging ; methods ; trends ; Humans ; Image Processing, Computer-Assisted ; methods ; Imaging, Three-Dimensional ; Software ; Systems Integration ; Ultrasonography