TY - CONF
TI - Automated DICOM metadata and volumetric anatomical information
extraction for radiation dosimetry
AU - Papamichail, D.
AU - Ploussi, A.
AU - Kordolaimi, S.
AU - Karavasilis, E.
AU - and Papadimitroulas, P.
AU - Syrgiamiotis, V.
AU - Efstathopoulos, E.
PY - 2015
SP - null
PB - IOP Publishing Ltd
T2 - INTERNATIONAL CONFERENCE ON BIO-MEDICAL INSTRUMENTATION AND RELATED
ENGINEERING AND PHYSICAL SCIENCES (BIOMEP 2015)
TODO - 10.1088/1742-6596/637/1/012022
TODO - null
TODO - 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.
ER -