Constrained non-rigid registration for use in image-guided adaptive radiotherapy

A constrained non-rigid registration (CNRR) algorithm for use in prostate image-guided adaptive radiotherapy is presented in a coherent mathematical framework. The registration algorithm is based on a global rigid transformation combined with a series of local injective non-rigid multi-resolution cubic B-spline Free Form Deformation (FFD) transformations. The control points of the FFD are used to non-rigidly constrain the transformation to the prostate, rectum, and bladder. As well, the control points are used to rigidly constrain the transformation to the estimated position of the pelvis, left femur, and right femur. The algorithm was tested with both 3D conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) dose plan data sets. The 3DCRT dose plan set consisted of 10 fan-beam CT (FBCT) treatment-day images acquired from four different patients. The IMRT dose plan set consisted of 32 cone-beam CT (CBCT) treatment-day images acquired from 4 different patients. The CNRR was tested with different combinations of anatomical constraints and each test significantly outperformed both rigid and non-rigid registration at aligning constrained bones and critical organs. The CNRR results were used to adapt the dose plans to account for patient positioning errors as well as inter-day bone motion and intrinsic organ deformation. Each adapted dose plan improved performance by lowering radiation distribution to the rectum and bladder while increasing or maintaining radiation distribution to the prostate.

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

[2]  R A Stephenson,et al.  Health outcomes after prostatectomy or radiotherapy for prostate cancer: results from the Prostate Cancer Outcomes Study. , 2000, Journal of the National Cancer Institute.

[3]  D. Hill,et al.  Medical image registration , 2001, Physics in medicine and biology.

[4]  Robert E. Drzymala,et al.  Errors in radiation oncology: A study in pathways and dosimetric impact , 2005, Journal of applied clinical medical physics.

[5]  Xenophon Papademetris,et al.  BioImage Suite: An integrated medical image analysis suite: An update. , 2006, The insight journal.

[6]  W. Clem Karl,et al.  A fast level set method without solving PDEs [image segmentation applications] , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[7]  Ravi Bansal,et al.  A gradient feature weighted Minimax algorithm for registration of multiple portal images to 3DCT volumes in prostate radiotherapy. , 2006, International journal of radiation oncology, biology, physics.

[8]  Daniel Rueckert,et al.  Comparison and evaluation of rigid and nonrigid registration of breast MR images , 1999, Medical Imaging.

[9]  J. Lyman Complication probability as assessed from dose-volume histograms. , 1985, Radiation research. Supplement.

[10]  David F. Rogers,et al.  An Introduction to NURBS , 2000 .

[11]  David J. Hawkes,et al.  Voxel similarity measures for 3-D serial MR brain image registration , 1999, IEEE Transactions on Medical Imaging.

[12]  William H. Press,et al.  Numerical recipes in C , 2002 .

[13]  Uwe Oelfke,et al.  Correction of Patient Positioning Errors based on In-Line Cone Beam CTs: Clinical Implementation and First Experiences , 2005 .

[14]  D. F. Rogers,et al.  An Introduction to NURBS: With Historical Perspective , 2011 .

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

[16]  James S. Duncan,et al.  Tracking organ overlap for a constrained non-rigid registration algorithm , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[17]  Ravinder Nath,et al.  A Two-Stage IMRT Treatment Protocol Provides More Robust Radiotherapy for Prostate Cancer in Presence of Inter- and Intra-Fractional Organ Motions , 2007 .

[18]  G J Kutcher,et al.  Analysis of clinical complication data for radiation hepatitis using a parallel architecture model. , 1995, International journal of radiation oncology, biology, physics.

[19]  Seungyong Lee,et al.  Local injectivity conditions of 2D and 3D uniform cubic B-spline functions , 1999, Proceedings. Seventh Pacific Conference on Computer Graphics and Applications (Cat. No.PR00293).

[20]  Steven J Frank,et al.  Quantification of prostate and seminal vesicle interfraction variation during IMRT. , 2008, International journal of radiation oncology, biology, physics.

[21]  M Goitein,et al.  Implementation of a model for estimating tumor control probability for an inhomogeneously irradiated tumor. , 1993, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[22]  James S. Duncan,et al.  A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM FOR APPLICATION IN PROSTATE RADIOTHERAPY , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[23]  D. Rueckert,et al.  Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images. , 1999, Journal of computer assisted tomography.

[24]  Timothy D. Solberg,et al.  Dosimetric consequences of intrafraction prostate motion. , 2008, International journal of radiation oncology, biology, physics.

[25]  Michael B Sharpe,et al.  Image-guided radiotherapy: rationale, benefits, and limitations. , 2006, The Lancet. Oncology.

[26]  C C Ling,et al.  Fitting tumor control probability models to biopsy outcome after three-dimensional conformal radiation therapy of prostate cancer: pitfalls in deducing radiobiologic parameters for tumors from clinical data. , 2001, International journal of radiation oncology, biology, physics.

[27]  Karl Bzdusek,et al.  What CTV-to-PTV margins should be applied for prostate irradiation? Four-dimensional quantitative assessment using model-based deformable image registration techniques. , 2008, International journal of radiation oncology, biology, physics.

[28]  Daniel Rueckert,et al.  Diffeomorphic Registration Using B-Splines , 2006, MICCAI.

[29]  Zhe Chen,et al.  A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy , 2008, MICCAI.