会议论文详细信息
International Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences
Automated DICOM metadata and volumetric anatomical information extraction for radiation dosimetry
物理学;医药卫生
Papamichail, D.^1 ; Ploussi, A.^2 ; Kordolaimi, S.^2 ; Karavasilis, E.^3 ; Papadimitroulas, P.^4 ; Syrgiamiotis, V.^5 ; Efstathopoulos, E.^2
1st Department of Radiology, Medical School, National and Kapodistrian University of Athens, Vas. Sofias 76, Athens
11528, Greece^1
2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Rimini 1, Athens
12462, Greece^2
Radiology Research Unit, Medical Imaging Department, National and Kapodistrian University of Athens, Athens
11528, Greece^3
Department of Medical Physics, Medical School, University of Patras, Rion
15310, Greece^4
MRI-CT Medical Imaging Department, General Childrens Hospital of Athens Ag. Sophia, Greece^5
关键词: Anatomical information;    Graphical user interfaces (GUI);    MATLAB environment;    Patient specific;    Radiology information system;    Regions of interest;    Scanning parameters;    Simulation technique;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/637/1/012022/pdf
DOI  :  10.1088/1742-6596/637/1/012022
学科分类:卫生学
来源: IOP
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【 摘 要 】

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.

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