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International Conference on ISMAC in Computational Vision and Bio-Engineering

ISMAC 2018: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) pp 17–29Cite as

A Survey of Medical Imaging, Storage and Transfer Techniques

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB,volume 30)

Abstract

Medical data keeps growing with the growing number of scans every year. Patient experience plays a vital role in development of healthcare technologies. The speed with which the data can be accessed when the patient really wants to get diagnosed be it the same hospital or a different hospital becomes a very important requirement in future healthcare research. With growing amount of modality techniques and size of the captured images, it is very important to explore the latest technologies available to overcome bottlenecks. With (Computed Tomography) CT and Magnetic Resonance Imaging (MRI) modalities increasing the number of slices and size of the image captured per second, the diagnosis becomes accurate from the radiology perspective, but the need to optimize storage and transfer of the images without losing vital information becomes obviously evident. In addition security also plays an important role. There are various problems and risks when it comes to handling medical images because it is of key use to diagnose a disease which may be life threatening for the patient. There are evidences of radiologists waiting for the data for a considerable time to access the data for diagnosis. Hence time and quality plays a very important role in healthcare industry and it is major area of research which has to be explored. This scope of this survey is to discuss about the open issues and techniques to overcome the existing problems involved in medical imaging and transfer. This survey concludes the few optimization techniques with the medical imaging and transfer applications. Finally, limitation and future scope of improving medical imaging and transfer performance is discussed.

Keywords

  • DICOM
  • GPU
  • Multicore
  • Performance
  • Pipeline
  • Speed

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  • DOI: 10.1007/978-3-030-00665-5_3
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Authors and Affiliations

  1. Department of Computer Science and Applications, Gandhigram Rural Institute—Deemed University, Gandhigram, Dindigul, Tamilnadu, India

    R. R. Meenatchi Aparna & P. Shanmugavadivu

Authors
  1. R. R. Meenatchi Aparna
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  2. P. Shanmugavadivu
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Corresponding author

Correspondence to P. Shanmugavadivu .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Meenatchi Aparna, R.R., Shanmugavadivu, P. (2019). A Survey of Medical Imaging, Storage and Transfer Techniques. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_3

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_3

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