Simplified material assignment for cone beam computed tomography-based dose calculations of prostate radiotherapy with hip prostheses

Objective Cone beam computed tomography (CBCT) images contain more scatter than a conventional computed tomography (CT) image and therefore provide inaccurate Hounsfield units (HUs). Consequently, CBCT images cannot be used directly for dose calculation. The aim of this study is to enable dose calculations to be performed with the use of CBCT images taken during radiotherapy and potentially avoid the necessity of re-planning. Methodology A phantom and prostate cancer patient with a metallic prosthetic hip replacement were imaged using both CT and CBCT. The multilevel threshold algorithm was used to categorise pixel values in the CBCT images into segments of homogeneous HU. The variation in HU with position in the CBCT images was taken into consideration and the benefit of using a larger number of materials than typically used in previous work has been explored. This segmentation method relies upon the operator dividing the CBCT data into a set of volumes where the variation in the relationship between pixel values and HUs is small. A field-in-field treatment plan was generated from the CT of the phantom. An intensity-modulated radiation therapy plan was generated from CT images of the patient. These plans were then copied to the segmented CBCT datasets with identical settings and the doses were recalculated and compared. Results In the phantom study, γ evaluation showed that the percentage of points falling in planning target volume, rectum and bladder with γ Conclusion The segmentation of CBCT images using the method in this study can be used for dose calculation. For a simple phantom, 2 values of HU were needed to improve dose calculation accuracy. In challenging circumstances such as that of a prostate patient with hip prosthesis, 5 values of HU were found to be needed, giving a reasonable balance between dose accuracy and operator time.

[1]  Benjamin E. Nelms,et al.  A survey on planar IMRT QA analysis , 2007, Journal of applied clinical medical physics.

[2]  Markus Stock,et al.  Feasibility of CBCT-based dose calculation: comparative analysis of HU adjustment techniques. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[3]  Wolfgang Birkfellner,et al.  Image quality and stability of image-guided radiotherapy (IGRT) devices: A comparative study. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[4]  Luca Cozzi,et al.  Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations , 2006, Physics in medicine and biology.

[5]  N. Kadoya,et al.  Evaluation of on-board kV cone beam computed tomography-based dose calculation with deformable image registration using Hounsfield unit modifications. , 2014, International journal of radiation oncology, biology, physics.

[6]  Matthias Guckenberger,et al.  Investigation of the usability of conebeam CT data sets for dose calculation , 2008, Radiation oncology.

[7]  Friedlieb Lorenz,et al.  A new strategy for online adaptive prostate radiotherapy based on cone-beam CT. , 2009, Zeitschrift fur medizinische Physik.

[8]  K. Langen,et al.  Organ motion and its management. , 2001, International journal of radiation oncology, biology, physics.

[9]  J. Wong,et al.  Flat-panel cone-beam computed tomography for image-guided radiation therapy. , 2002, International journal of radiation oncology, biology, physics.

[10]  Lei Xing,et al.  Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation , 2007, Physics in medicine and biology.

[11]  A W Seaby,et al.  Design of a multiblock phantom for radiotherapy dosimetry applications. , 2002, The British journal of radiology.

[12]  Jeffrey H. Siewerdsen,et al.  Analysis of image noise in 3D cone-beam CT: spatial and Fourier domain approaches under conditions of varying stationarity , 2008, SPIE Medical Imaging.

[13]  Ben Heijmen,et al.  Correction of conebeam CT values using a planning CT for derivation of the "dose of the day". , 2007, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[14]  Determination of depth and field size dependence of multileaf collimator transmission in intensity‐modulated radiation therapy beams , 2007, Journal of applied clinical medical physics.

[15]  Joseph O Deasy,et al.  CERR: a computational environment for radiotherapy research. , 2003, Medical physics.

[16]  B. Baumert,et al.  On-line correction of beam portals in the treatment of prostate cancer using an endorectal balloon device. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[17]  A Proposed Strategy to Implement CBCT Images for Replanning and Dose Calculations , 2007 .