@inproceedings{3163882,
    title = "Automated DICOM metadata and volumetric anatomical information
extraction for radiation dosimetry",
    author = "Papamichail, D. and Ploussi, A. and Kordolaimi, S. and Karavasilis, E. and and Papadimitroulas, P. and Syrgiamiotis, V. and Efstathopoulos, E.",
    year = "2015",
    publisher = "IOP Publishing Ltd",
    booktitle = "INTERNATIONAL CONFERENCE ON BIO-MEDICAL INSTRUMENTATION AND RELATED
ENGINEERING AND PHYSICAL SCIENCES (BIOMEP 2015)",
    doi = "10.1088/1742-6596/637/1/012022",
    abstract = "Patient-specific dosimetry calculations based on simulation techniques
have as a prerequisite the modeling of the modality system and the
creation of voxelized phantoms. This procedure requires the knowledge of
scanning parameters and patients’ information included in a DICOM file
as well as image segmentation. However, the extraction of this
information is complicated and time-consuming. The objective of this
study was to develop a simple graphical user interface (GUI) to (i)
automatically extract metadata from every slice image of a DICOM file in
a single query and (ii) interactively specify the regions of interest
(ROI) without explicit access to the radiology information system. The
user-friendly application developed in Matlab environment. The user can
select a series of DICOM files and manage their text and graphical data.
The metadata are automatically formatted and presented to the user as a
Microsoft Excel file. The volumetric maps are formed by interactively
specifying the ROIs and by assigning a specific value in every ROI. The
result is stored in DICOM format, for data and trend analysis. The
developed GUI is easy, fast and and constitutes a very useful tool for
individualized dosimetry. One of the future goals is to incorporate a
remote access to a PACS server functionality."
}