Integration of on-line imaging, plan adaptation and radiation delivery: proof of concept using digital tomosynthesis.

The main objective of this manuscript is to propose a new approach to on-line adaptive radiation therapy (ART) in which daily image acquisition, plan adaptation and radiation delivery are integrated together and performed concurrently. A method is described in which on-line ART is performed based on intra-fractional digital tomosynthesis (DTS) images. Intra-fractional DTS images were reconstructed as the gantry rotated between treatment positions. An edge detection algorithm was used to automatically segment the DTS images as the gantry arrived at each treatment position. At each treatment position, radiation was delivered based on the treatment plan re-optimized for the most recent DTS image contours. To investigate the feasibility of this method, a model representing a typical prostate, bladder and rectum was used. To simulate prostate deformations, three clinically relevant, non-rigid deformations (small, medium and large) were modeled by systematically deforming the original anatomy. Using our approach to on-line ART, the original treatment plan was successfully adapted to arrive at a clinically acceptable plan for all three non-rigid deformations. In conclusion, we have proposed a new approach to on-line ART in which plan adaptation is performed based on intra-fractional DTS images. The study findings indicate that this approach can be used to re-optimize the original treatment plan to account for non-rigid anatomical deformations. The advantages of this approach are 1) image acquisition and radiation delivery are integrated in a single gantry rotation around the patient, reducing the treatment time, and 2) intra-fractional DTS images can be used to detect and correct for patient motion prior to the delivery of each beam (intra-fractional patient motion).

[1]  M. Oldham,et al.  Digital tomosynthesis with an on-board kilovoltage imaging device. , 2006, International journal of radiation oncology, biology, physics.

[2]  C. Cotrutz,et al.  Segment-based dose optimization using a genetic algorithm. , 2003, Physics in medicine and biology.

[3]  Hui Yan,et al.  Evaluation of three types of reference image data for external beam radiotherapy target localization using digital tomosynthesis (DTS). , 2007, Medical physics.

[4]  G. Wang,et al.  A general cone-beam reconstruction algorithm , 1993, IEEE Trans. Medical Imaging.

[5]  D. Yan,et al.  The influence of interpatient and intrapatient rectum variation on external beam treatment of prostate cancer. , 2001, International journal of radiation oncology, biology, physics.

[6]  Purang Abolmaesumi,et al.  An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images , 2004, IEEE Transactions on Medical Imaging.

[7]  G. Sanguineti,et al.  Neoadjuvant androgen deprivation and prostate gland shrinkage during conformal radiotherapy. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[8]  J O Deasy,et al.  Tomotherapy: a new concept for the delivery of dynamic conformal radiotherapy. , 1993, Medical physics.

[9]  He Wang,et al.  An automatic CT-guided adaptive radiation therapy technique by online modification of multileaf collimator leaf positions for prostate cancer. , 2005, International journal of radiation oncology, biology, physics.

[10]  J. Fowler,et al.  Image guidance for precise conformal radiotherapy. , 2003, International journal of radiation oncology, biology, physics.

[11]  C. Shaw,et al.  Noise simulation in cone beam CT imaging with parallel computing. , 2006, Physics in medicine and biology.

[12]  Karl Otto,et al.  Volumetric modulated arc therapy: IMRT in a single gantry arc. , 2007, Medical physics.

[13]  Raj Shekhar,et al.  Direct aperture deformation: an interfraction image guidance strategy. , 2006, Medical physics.

[14]  K. Brock,et al.  A magnetic resonance imaging study of prostate deformation relative to implanted gold fiducial markers. , 2007, International journal of radiation oncology, biology, physics.

[15]  R. Zellars,et al.  Prostate position late in the course of external beam therapy: patterns and predictors. , 2000, International journal of radiation oncology, biology, physics.

[16]  Hui Yan,et al.  Automatic registration between reference and on-board digital tomosynthesis images for positioning verification. , 2008, Medical physics.

[17]  R. Cormack,et al.  Automatic online adaptive radiation therapy techniques for targets with significant shape change: a feasibility study , 2006, Physics in medicine and biology.

[18]  C. Yu,et al.  An examination of the number of required apertures for step-and-shoot IMRT , 2005, Physics in medicine and biology.

[19]  He Wang,et al.  Use of deformed intensity distributions for on-line modification of image-guided IMRT to account for interfractional anatomic changes. , 2005, International journal of radiation oncology, biology, physics.

[20]  A. Nichol,et al.  Intra-prostatic fiducial markers and concurrent androgen deprivation. , 2005, Clinical oncology (Royal College of Radiologists (Great Britain)).

[21]  M. V. van Herk,et al.  A model to simulate day-to-day variations in rectum shape. , 2002, International journal of radiation oncology, biology, physics.

[22]  K. Brock,et al.  Feasibility of a novel deformable image registration technique to facilitate classification, targeting, and monitoring of tumor and normal tissue. , 2006, International journal of radiation oncology, biology, physics.

[23]  B R Thomadsen,et al.  A solid water pelvic and prostate phantom for imaging, volume rendering, treatment planning, and dosimetry for an RTOG multi-institutional, 3-D dose escalation study. Radiation Therapy Oncology Group. , 1998, International journal of radiation oncology, biology, physics.

[24]  D M Shepard,et al.  Direct aperture optimization: a turnkey solution for step-and-shoot IMRT. , 2002, Medical physics.

[25]  Xinming Liu,et al.  A-Si:H/CsI(Tl) flat-panel versus computed radiography for chest imaging applications: image quality metrics measurement. , 2004, Medical physics.

[26]  S. Spirou,et al.  Dose calculation for photon beams with intensity modulation generated by dynamic jaw or multileaf collimations. , 1994, Medical physics.

[27]  S. Webb,et al.  Constrained segment shapes in direct-aperture optimization for step-and-shoot IMRT. , 2006, Medical physics.

[28]  J. Duncan,et al.  Automated 2D-3D registration of a radiograph and a cone beam CT using line-segment enhancement. , 2006, Medical physics.

[29]  Jan J W Lagendijk,et al.  MRI/linac integration. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[30]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[31]  Sarang Joshi,et al.  Large deformation three-dimensional image registration in image-guided radiation therapy , 2005, Physics in medicine and biology.

[32]  Alan Nichol,et al.  Direct aperture optimization for online adaptive radiation therapy. , 2007, Medical physics.

[33]  M. V. van Herk,et al.  Prostate gland motion assessed with cine-magnetic resonance imaging (cine-MRI). , 2005, International journal of radiation oncology, biology, physics.

[34]  Vira Chankong,et al.  On-line re-optimization of prostate IMRT plans for adaptive radiation therapy , 2008, Physics in medicine and biology.

[35]  S. Joshi,et al.  Automatic Segmentation of Intra-treatment CT Images for Adaptive Radiation Therapy of the Prostate , 2005, MICCAI.

[36]  J H Siewerdsen,et al.  Cone-beam computed tomography with a flat-panel imager: initial performance characterization. , 2000, Medical physics.

[37]  B G Fallone,et al.  Patient dosimetry for hybrid MRI-radiotherapy systems. , 2008, Medical physics.

[38]  W. De Gersem,et al.  Leaf position optimization for step-and-shoot IMRT. , 2001, International journal of radiation oncology, biology, physics.