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Volumn 8674, Issue , 2013, Pages

Role of an imaging informatics-based DICOM-RT cancer registry in evaluating treatment parameters of IMRT for prostate cancer

Author keywords

Cancer registry; DICOM RT; Imaging informatics; IMRT; Prostate cancer; Radiation oncology; Radiation therapy

Indexed keywords

CANCER REGISTRIES; DICOM-RT; IMAGING INFORMATICS; IMRT; PROSTATE CANCERS; RADIATION ONCOLOGY;

EID: 84878421726     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007429     Document Type: Conference Paper
Times cited : (8)

References (4)
  • 1
    • 84878415700 scopus 로고    scopus 로고
    • Digital Imaging and Communications in Medicine (DICOM) Part 3. PS3.3-2009
    • Digital Imaging and Communications in Medicine (DICOM) Part 3. Information object definitions. PS3.3-2009
    • Information Object Definitions
  • 2
    • 68549106350 scopus 로고    scopus 로고
    • Informatics in radiology - DICOM RT and its utilization in radiation therapy
    • Law M. Y. Y., Liu B. J., "Informatics in Radiology - DICOM RT and Its Utilization in Radiation Therapy", RadioGraphics 2009; 29:655-667
    • (2009) RadioGraphics , vol.29 , pp. 655-667
    • Law, M.Y.Y.1    Liu, B.J.2
  • 3
    • 84455189659 scopus 로고    scopus 로고
    • A shape relationship descriptor for radiation therapy planning
    • Kazhdan M., Simari P., McNutt T., Wu B., et al., "A Shape Relationship Descriptor for Radiation Therapy Planning", MICCAI 2009; 5762:100-108
    • (2009) MICCAI , vol.5762 , pp. 100-108
    • Kazhdan, M.1    Simari, P.2    McNutt, T.3    Wu, B.4
  • 4
    • 72049104417 scopus 로고    scopus 로고
    • Patient geometry-driven information retrieval for IMRT treatment plan quality control
    • Wu B., Ricchetti F., Sanguineti G., Kazhdan M., et al., "Patient geometry-driven information retrieval for IMRT treatment plan quality control", Med Phys. 2009;36(12):5497-505
    • (2009) Med Phys. , vol.36 , Issue.12 , pp. 5497-5505
    • Wu, B.1    Ricchetti, F.2    Sanguineti, G.3    Kazhdan, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.