Abstract: “Radiotherapy plays an important role in the treatment of cancer patients. As part of clinical workflow, patient has to undergo through diagnostic imaging procedures, which are used to identify the tumor location and size. Enormous amounts of data are generated during this procedure. The volume of medical information is so large and complex that it becomes difficult to mine for relevant information. The Digital Imaging and Communications in Medicine (DICOM) standard is widely used in medicine for storing and transmitting medical information. The DICOM-RT is the extension to DICOM standard, and dedicated to radiotherapy. In this paper, we propose a technique to store clinical relevant features from DICOM files using semantic concepts. The proposed technique defines a novel method to delayer the hierarchy of DICOM-RT for storing the clinical relevant information into triples in Resource Description Framework (RDF) repository. The methodology also proposes different combinations for storin”

Keywords: DICOM-RT, Semantic Web, RDF, SPARQL, Natural Language Processing.