Abstract
The paper presents the development of a radiological atlas employed in an abdomen patient specific model verification.
After a patient specific model introduction, the development of a radiological atlas is discussed.
Unprocessed database, containing DICOM images and radiological diagnosis presented. This database is processed manually to retrieve the required information. Organs and pathologies are determined and each study is tagged with specific labels, e.g. ‘liver normal’, ‘liver tumor’, ‘liver cancer’, ‘spleen normal’, ‘spleen absence’, etc. Selected structures are additionally segmented. Masks are stored as gold standard.
Web service based network system is provided to permit PACS-driven retrieval of image data matching desired criteria. Image series as well as ground truth images may be retrieved for benchmark or model-development purposes. The database is evaluated.
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Kawa, J., Juszczyk, J., Pyciński, B., Badura, P., Pietka, E. (2014). Radiological Atlas for Patient Specific Model Generation. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 4. Advances in Intelligent Systems and Computing, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-319-06596-0_7
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DOI: https://doi.org/10.1007/978-3-319-06596-0_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06595-3
Online ISBN: 978-3-319-06596-0
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