Image Conversion from DICOM into Bitmap Based on VC Platform

2012 ◽  
Vol 591-593 ◽  
pp. 2487-2490
Author(s):  
Wen Juan Gu ◽  
Li Nan Fan ◽  
Shen Shen Sun ◽  
Xiang Li Hu ◽  
Xin Wang
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Rapid Development ◽  
Processing System ◽  
Medical Image Processing ◽  
Image Data ◽  
Research Direction ◽  
Image Conversion ◽  
Medical Image Data ◽  
Processing Platform

With the rapid development of medical equipment (such as CT, MRT, PACS), medical image data that need to process has become increasingly rich, which makes the design of medical image processing platform become a popular research direction. Through analyzing one medical image with communication standard (the DICOM protocol) in this paper. Research in-depth how medical images are stored in computer, and how to transform a medical image into the format of bitmap so that to see a medical image on screen , and it is good to software workers and doctors ,for it can help them have a clearer understanding of the medical image, and help them to see diseases clearly, it is also the basis for the subsequent design of medical image processing system .

scholarly journals MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation

2019 ◽  
Author(s):  
J-Donald Tournier ◽  
Robert Smith ◽  
David Raffelt ◽  
Rami Tabbara ◽  
Thijs Dhollander ◽  
...  
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Image Data ◽  
Data Access ◽  
General Purpose ◽  
Computational Performance ◽  
Cross Platform ◽  
High Level ◽  
New Applications

AbstractMRtrix3 is an open-source, cross-platform software package for medical image processing, analysis and visualization, with a particular emphasis on the investigation of the brain using diffusion MRI. It is implemented using a fast, modular and flexible general-purpose code framework for image data access and manipulation, enabling efficient development of new applications, whilst retaining high computational performance and a consistent command-line interface between applications. In this article, we provide a high-level overview of the features of the MRtrix3 framework and general-purpose image processing applications provided with the software.

scholarly journals IMPLEMENTATION METHOD ON MEDICAL IMAGE COMPRESSION SYSTEM: A REVIEW

2017 ◽  
Vol 79 (7) ◽  
Author(s):  
Azlan Muharam ◽  
Afandi Ahmad
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Medical Image ◽  
Rapid Development ◽  
Three Dimensional ◽  
Medical Image Processing ◽  
Subjective Test ◽  
Medical Image Compression ◽  
Research Issues ◽  
Software And Hardware

The rapid development of medical imaging and the invention of various medicines have benefited mankind and the whole community. Medical image processing is a niche area concerned with the operations and processes of generating images of the human body for clinical purposes.  Potential areas such as image acquisition, image enhancement, image compression and storage, and image based visualization also include in medical image processing analysis. Unfortunately, medical image compression dealing with three-dimensional (3-D) modalities still in the pre-matured stage. Along with that, very limited researchers take a challenge to apply hardware on their implementation. Referring to the previous work reviewed, most of the compression method used lossless rather than lossy. For implementation using software, MATLAB and Verilog are the famous candidates among researchers. In term of analysis, most of the previous works conducted objective test compared with subjective test. This paper thoroughly reviews the recent advances in medical image compression mainly in terms of types of compression, software and hardware implementations and performance evaluation. Furthermore, challenges and open research issues are discussed in order to provide perspectives for future potential research. In conclusion, the overall picture of the image processing landscape, where several researchers more focused on software implementations and various combinations of software and hardware implementation.  

FORMAL SPECIFICATION AND ANALYSIS OF AN AGENT-BASED MEDICAL IMAGE PROCESSING SYSTEM

2010 ◽  
Vol 20 (03) ◽  
pp. 311-345 ◽  
Author(s):  
JUNHUA DING ◽  
XUDONG HE
Keyword(s):  
Image Processing ◽  
Mobile Agent ◽  
Formal Specification ◽  
Medical Image ◽  
Processing System ◽  
Medical Image Processing ◽  
Dynamic Configuration ◽  
Agent System ◽  
Agent Systems ◽  
Mobile Agent Systems

A mobile agent system is a special distributed system with moving programs in networks. Mobile agent systems provide a powerful and flexible paradigm for building high performance distributed systems. Due to dynamic configuration property, assuring quality of a mobile agent system is a challenge work. Formal specification and analysis of a mobile agent system provides one of the best approaches to ensure the correctness of a system design. However, it is difficult to find a formal specification tool for modeling a mobile agent system with an easy to understand and concise model. In addition, it is a challenge but also important work to provide an automatic formal analysis approach for verifying whether a system specification correctly meets certain requirements in a mobile agent system. In this paper, a framework for specification and analysis of mobile agent systems is defined. First, Predicate/Transition nets are extended with dynamic channels for modeling mobile agent systems. The formalism has the expressive power to naturally model the software architecture of a mobile agent system, and easily capture the properties especially the mobility, mobile communication and dynamic configuration of a mobile agent system. Then, model checking is instrumented to the framework for automatically verifying the correctness of the specification of a mobile agent system. In order to illustrate the capability of the formalism and the verification strategy, a medical image processing system using mobile agents is modeled using the extended Predicate/Transition nets and system properties are verified using the SPIN model checker.

scholarly journals IBK – A NEW TOOL FOR MEDICAL IMAGE PROCESSING

2010 ◽  
Vol 13 (4) ◽  
pp. 20-27
Author(s):  
Linh Duy Tran ◽  
Linh Quang Huynh
Keyword(s):  
Image Processing ◽  
Diagnostic Imaging ◽  
3D Reconstruction ◽  
Programming Language ◽  
Medical Image ◽  
Medical Images ◽  
Rapid Development ◽  
Medical Image Processing ◽  
Matlab Programming

Along with the rapid development of diagnostic imaging equipment, software for medical image processing has played an important role in helping doctors and clinicians to reach accurate diagnoses. In this paper, methods to build a multipurpose tool based on Matlab programming language and its applications are presented. This new tool features enhancement, segmentation, registration and 3D reconstruction for medical images obtained from commonly used diagnostic imaging equipment.

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