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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 11344
School of Cognitive Sciences
  Title:   Web-based interactive 2D/3D medical image processing and visualization software
1.  Seyyed Ehsan Mahmoudi
2.  Alireza Akhondi Asl
3.  Roohollah Rahmani
4.  Shahrooz Faghih Roohi
5.  Vahid Taimouri
6.  Ahmad Sabouri
7.  Hamid Soltanianzadeh
  Status:   Published
  Journal: Computer Methods and Programs in Biomedicine
  Vol.:  98
  Year:  2010
  Pages:   172-182
  Supported by:  IPM
There are many medical image processing software tools available for research and diagnosis purposes. However, most of these tools are available only as local applications. This limits the accessibility of the software to a specific machine, and thus the data and processing power of that application are not available to other workstations. Further, there are operating system and processing power limitations which prevent such applications from running on every type of workstation. By developing web-based tools, it is possible for users to access the medical image processing functionalities wherever the internet is available. In this paper,we introduce a pureweb-based, interactive, extendable, 2D and 3D medical image processing and visualization application that requires no client installation. Our software uses a four-layered design consisting of an algorithm layer, web-user-interface layer, server communication layer, and wrapper layer. To compete with extendibility of the current local medical image processing software, each layer is highly independent of other layers. A wide range of medical image preprocessing, registration, and segmentation methods are implemented using open source libraries. Desktop-like user interaction is provided by using AJAX technology in theweb-user-interface. For the visualization functionality of the software, the VRML standard is used to provide 3D features over the web. Integration of these technologies has allowed implementation of our purely web-based software with high functionality without requiring powerful computational resources in the client side. The user-interface is designed such that the users can select appropriate parameters for practical research and clinical studies.

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