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The Design of SkyPACS: A High-Performance Mobile Medical Imaging Solution

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GPU Computing and Applications

Abstract

Lack of radiologists is a problem that arises in many parts of the world. Radiologists need to work long hours for multiple hospitals. In order to improve the quality of healthcare, SkyPACS is designed. It is a mobile solution that allows radiologists to work more conveniently. SkyPACS is a low-cost and customizable medical image viewer that can be used for prognosis. The solution is designed to be an assistive technology with the focus on simplicity, flexibility, and user experiences. The architecture of SkyPACS is designed based on service-oriented Model-View-Controller. The customers can freely choose the back-end services: cloud computing and storage on public cloud, private server, or hybrid system. The compute-intensive modules are deployed on a GPU server taking advantage of data parallel with CUDA library. The main features include all standard tools for viewing and diagnosis in 2D and 3D, convenient tools for collaborations, and case management. In addition, advanced functions such as automatic tumor detection and reconstruction and bone/skin/muscle segmentation are provided. This paper describes the details of SkyPACS’s design, as well as its implementation and initial deployment. We believe that SkyPACS will soon be available to a broad range of users in Thailand and AEC’s countries and will be able to reduce the cost of the healthcare platform in the near future.

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Notes

  1. 1.

    Digital Imaging and Communications in Medicine or DICOM is a universal medical image used in the standard PAC system.

  2. 2.

    Picture Archiving and Communication System or PACS is a storage and management system for medical image in the standard format, namely, DICOM.

  3. 3.

    Health Level Seven or HL7 is the global standard for exchanging information between medical applications.

  4. 4.

    Multiplanar Reconstruction or MPR constructs the volume by stacking images that retrieved from medical scanner, which is axial slices, together and cuts the volume orthogonally in a different plane to obtain the coronal and sagittal slices.

  5. 5.

    Pixel spacing is an attribute which indicates the physical distance between two pixels. It consists of two values, row and column spacing in millimeter.

  6. 6.

    Patient’s orientation specifies the position of the patient. When facing the front of the imaging equipment, Head First is defined as the patient’s head being positioned toward the front of the imaging equipment, while Feet First is defined as the patient’s feet being positioned toward the front of the imaging equipment.

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Acknowledgments

The authors would like to thank many of the people who help turning our research works into a commercial product: J.F. Advance Med Co., Ltd. for providing the facilities to complete the installation at the first test site, the National Innovation Agency (NIA) for supporting during the initial stage of the development, NVIDIA and Smart Technology Co., Ltd., for the equipment loans, Microsoft for providing the opportunity for students to showcase the product through the Imagine Cup competition. Last but not least, we would like to thank King Mongkut’s University of Technology Thonburi for funding and supports throughout the year.

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Correspondence to Tananan Pattanangkur or Sikana Tanupabrungson .

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Appendix A: Screenshots

Appendix A: Screenshots

  1. (a)

    Windows 8 Version

  2. (b)

    Web-Based Version

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Pattanangkur, T., Tanupabrungson, S., Areekijseree, K., Pumma, S., Achalakul, T. (2015). The Design of SkyPACS: A High-Performance Mobile Medical Imaging Solution. In: Cai, Y., See, S. (eds) GPU Computing and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-287-134-3_8

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  • DOI: https://doi.org/10.1007/978-981-287-134-3_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-133-6

  • Online ISBN: 978-981-287-134-3

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