SU-E-J-122: The CBCT Dose Calculation Using a Patient Specific CBCT Number to Mass Density Conversion Curve Based On a Novel Image Registration and Organ Mapping Method in Head-And-Neck Radiation Therapy

Authors

  • Zhou J,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Lasio G,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Yi B,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Huang J,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Chen S,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Zhang B,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Langen K,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • Prado K,

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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  • D'souza W

    1. University of Maryland School of Medicine, Bel Air, MD
    2. University of Maryland School of Medicine, Baltimore, MD
    3. Univ. of Maryland School Of Medicine, Baltimore, MD
    4. University of Texas at Arlington, Arlington, TX
    5. University of Maryland School of Medicine, Baltimore, MD
    6. University of Maryland School of Medicine, Baltimore, MD
    7. University of Maryland School of Medicine, Baltimore, MD
    8. University of Maryland School of Medicine, Baltimore, MD
    9. University of Maryland School of Medicine, Baltimore, MD
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Abstract

Purpose:

To develop a CBCT HU correction method using a patient specific HU to mass density conversion curve based on a novel image registration and organ mapping method for head-and-neck radiation therapy.

Methods:

There are three steps to generate a patient specific CBCT HU to mass density conversion curve. First, we developed a novel robust image registration method based on sparseness analysis to register the planning CT (PCT) and the CBCT. Second, a novel organ mapping method was developed to transfer the organs at risk (OAR) contours from the PCT to the CBCT and corresponding mean HU values of each OAR were measured in both the PCT and CBCT volumes. Third, a set of PCT and CBCT HU to mass density conversion curves were created based on the mean HU values of OARs and the corresponding mass density of the OAR in the PCT. Then, we compared our proposed conversion curve with the traditional Catphan phantom based CBCT HU to mass density calibration curve. Both curves were input into the treatment planning system (TPS) for dose calculation. Last, the PTV and OAR doses, DVH and dose distributions of CBCT plans are compared to the original treatment plan.

Results:

One head-and-neck cases which contained a pair of PCT and CBCT was used. The dose differences between the PCT and CBCT plans using the proposed method are −1.33% for the mean PTV, 0.06% for PTV D95%, and −0.56% for the left neck. The dose differences between plans of PCT and CBCT corrected using the CATPhan based method are −4.39% for mean PTV, 4.07% for PTV D95%, and −2.01% for the left neck.

Conclusion:

The proposed CBCT HU correction method achieves better agreement with the original treatment plan compared to the traditional CATPhan based calibration method.

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