Abstract
Teleradiology is the transmission of radiological information from one place to another for interpretation and/or consultation. The content of the transmitted data, the medium of transmission, and the manner of interpretation significantly affect the application and call for efficient automated solutions. Before transmission, the medical data must be processed to remove the content features that may lead to the identification of the patient. Depending on the teleradiology application and the suspected pathology, instead of the raw data, only computer-extracted features or only some critical part of the data may be shared; hence, some automated processing may be needed at the transmitting medical site. The transmission method has to ensure the security of the data; but, that is not sufficient and it should be complemented with efficient coding for fast transmission of large amounts of data because more experts are beginning to access the data with handheld devices over lower-bandwidth channels. At the receiver site, the radiologists may have different types of access to the data depending on the predetermined policies between the clinical sites. For example, only some computer-extracted features can be shown to a resident whereas only the expert radiologist may be able to read the raw data. To deal with these and other issues in teleradiology, this chapter will start with a brief overview of the literature and then will introduce fully automatic content analysis methods. Specifically, we will provide solutions in the field of neuroradiology by using MR (magnetic resonance) brain images.
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Ekin, A. (2010). Image-Based Sensitive Information Filtering for Teleradiology. In: Sencar, H.T., Velastin, S., Nikolaidis, N., Lian, S. (eds) Intelligent Multimedia Analysis for Security Applications. Studies in Computational Intelligence, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11756-5_9
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DOI: https://doi.org/10.1007/978-3-642-11756-5_9
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