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Physics and Imaging in Radiation Oncology

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Presentation on theme: "Physics and Imaging in Radiation Oncology"— Presentation transcript:

1 Physics and Imaging in Radiation Oncology
Clinical evaluation of a novel CT image reconstruction algorithm for direct dose calculations  Brent van der Heyden, Michel Öllers, André Ritter, Frank Verhaegen, Wouter van Elmpt  Physics and Imaging in Radiation Oncology  Volume 2, Pages (March 2017) DOI: /j.phro Copyright © Terms and Conditions

2 Fig. 1 The CTHU number to mass density (MD) conversion curves (left) if the CT scans of the Gammex phantom and its tissue mimicking inserts were reconstructed with the filtered back-projection (FBP) image reconstruction algorithm and the energy independent CTRED number to MD conversion curve (right) if the same CT scans were reconstructed with the DirectDensity™ (DD) image reconstruction algorithm. Physics and Imaging in Radiation Oncology 2017 2, 11-16DOI: ( /j.phro ) Copyright © Terms and Conditions

3 Fig. 2 Dose distributions of a clinical prostate cancer treatment plan calculated on the four different image reconstructions (window: width=300, level=40) (CTDIvol,80kVp=7.9mGy; CTDIvol,140kVp=8.7mGy; CTDIvol,120kVp=17.7mGy). Physics and Imaging in Radiation Oncology 2017 2, 11-16DOI: ( /j.phro ) Copyright © Terms and Conditions

4 Fig. 3 Dose distributions of a clinical treatment plan of a head and neck cancer patient recalculated on the four different image reconstructions (window: width=300, level=40) (CTDIvol,80kVp=1.3mGy; CTDIvol,140kVp=2.0mGy; CTDIvol,120kVp=3.3mGy). Physics and Imaging in Radiation Oncology 2017 2, 11-16DOI: ( /j.phro ) Copyright © Terms and Conditions


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