A non-rigid point matching method with local topology preservation for accurate bladder dose summation in high dose rate cervical brachytherapy

GEC-ESTRO guidelines for high dose rate cervical brachytherapy advocate the reporting of the D2cc (the minimum dose received by the maximally exposed 2cc volume) to organs at risk. Due to large interfractional organ motion, reporting of accurate cumulative D2cc over a multifractional course is a non-trivial task requiring deformable image registration and deformable dose summation. To efficiently and accurately describe the point-to-point correspondence of the bladder wall over all treatment fractions while preserving local topologies, we propose a novel graphic processing unit (GPU)-based non-rigid point matching algorithm. This is achieved by introducing local anatomic information into the iterative update of correspondence matrix computation in the 'thin plate splines-robust point matching' (TPS-RPM) scheme. The performance of the GPU-based TPS-RPM with local topology preservation algorithm (TPS-RPM-LTP) was evaluated using four numerically simulated synthetic bladders having known deformations, a custom-made porcine bladder phantom embedded with twenty one fiducial markers, and 29 fractional computed tomography (CT) images from seven cervical cancer patients. Results show that TPS-RPM-LTP achieved excellent geometric accuracy with landmark residual distance error (RDE) of 0.7  ±  0.3 mm for the numerical synthetic data with different scales of bladder deformation and structure complexity, and 3.7  ±  1.8 mm and 1.6  ±  0.8 mm for the porcine bladder phantom with large and small deformation, respectively. The RDE accuracy of the urethral orifice landmarks in patient bladders was 3.7  ±  2.1 mm. When compared to the original TPS-RPM, the TPS-RPM-LTP improved landmark matching by reducing landmark RDE by 50  ±  19%, 37  ±  11% and 28  ±  11% for the synthetic, porcine phantom and the patient bladders, respectively. This was achieved with a computational time of less than 15 s in all cases with GPU acceleration. The efficiency and accuracy shown with the TPS-RPM-LTP indicate that it is a practical and promising tool for bladder dose summation in adaptive cervical cancer brachytherapy.

[1]  J. Dimopoulos,et al.  Dose effect relationship for late side effects of the rectum and urinary bladder in magnetic resonance image-guided adaptive cervix cancer brachytherapy. , 2012, International journal of radiation oncology, biology, physics.

[2]  J. Rownd,et al.  American Brachytherapy Society consensus guidelines for interstitial brachytherapy for vaginal cancer. , 2012, Brachytherapy.

[3]  Michael J Chen,et al.  Intensity modulated radiotherapy for localized prostate cancer: rigid compliance to dose-volume constraints as a warranty of acceptable toxicity? , 2007, Radiation oncology.

[4]  Kari Tanderup,et al.  Simple DVH parameter addition as compared to deformable registration for bladder dose accumulation in cervix cancer brachytherapy. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[5]  B. Norlén,et al.  A systematic overview of radiation therapy effects in prostate cancer , 2004, Acta oncologica.

[6]  C. Tropé,et al.  A Systematic Overview of Radiation Therapy Effects in Uterine Cancer (Corpus Uteri) , 2003, Acta oncologica.

[7]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[8]  David Tilly,et al.  Dose mapping sensitivity to deformable registration uncertainties in fractionated radiotherapy – applied to prostate proton treatments , 2013, BMC medical physics.

[9]  C. Tropé,et al.  A Systematic Overview of Radiation Therapy Effects in Ovarian Cancer , 2003, Acta oncologica.

[10]  Jeffrey V Siebers,et al.  A method to estimate the effect of deformable image registration uncertainties on daily dose mapping. , 2012, Medical physics.

[11]  Luiza Bondar,et al.  A symmetric nonrigid registration method to handle large organ deformations in cervical cancer patients. , 2010, Medical physics.

[12]  J. Dimopoulos,et al.  Recommendations from gynaecological (GYN) GEC ESTRO working group (II): concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy-3D dose volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[13]  Christian Kirisits,et al.  Clinical outcome of protocol based image (MRI) guided adaptive brachytherapy combined with 3D conformal radiotherapy with or without chemotherapy in patients with locally advanced cervical cancer , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[14]  Controversies and new developments in gynecologic brachytherapy: image-based intracavitary brachytherapy for cervical carcinoma. , 2006, Seminars in radiation oncology.

[15]  Christian Kirisits,et al.  Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (IV): Basic principles and parameters for MR imaging within the frame of image based adaptive cervix cancer brachytherapy , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[16]  Jeffrey V Siebers,et al.  Estimation of three-dimensional intrinsic dosimetric uncertainties resulting from using deformable image registration for dose mapping. , 2011, Medical physics.

[17]  M. Eble,et al.  Low-grade toxicity after conformal radiation therapy for prostate cancer--impact of bladder volume. , 2006, International journal of radiation oncology, biology, physics.

[18]  Steven Haker,et al.  Deformable structure registration of bladder through surface mapping. , 2006, Medical physics.

[19]  Karsten O. Noe,et al.  Bladder dose accumulation based on a biomechanical deformable image registration algorithm in volumetric modulated arc therapy for prostate cancer , 2012, Physics in medicine and biology.

[20]  D. Dearnaley,et al.  Assessing intra-fractional bladder motion using cine-MRI as initial methodology for Predictive Organ Localization (POLO) in radiotherapy for bladder cancer. , 2007, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[21]  Vladimir Pekar,et al.  Assessment of a model-based deformable image registration approach for radiation therapy planning. , 2007, International journal of radiation oncology, biology, physics.

[22]  Linghong Zhou,et al.  A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images , 2015, Physics in medicine and biology.

[23]  D. Dearnaley,et al.  Evaluating the effect of reducing the high-dose volume on the toxicity of radiotherapy in the treatment of bladder cancer. , 2006, Clinical oncology (Royal College of Radiologists (Great Britain)).

[24]  M W Vannier,et al.  Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates. , 2001, International journal of radiation oncology, biology, physics.

[25]  C. Tropé,et al.  A Systematic Overview of Radiation Therapy Effects in Cervical Cancer (Cervix Uteri) , 2003, Acta oncologica.

[26]  Radhe Mohan,et al.  Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy. , 2004, International journal of radiation oncology, biology, physics.

[27]  Bruno Lévy,et al.  Particle-based anisotropic surface meshing , 2013, ACM Trans. Graph..

[28]  D. Yan,et al.  A model to accumulate fractionated dose in a deforming organ. , 1999, International journal of radiation oncology, biology, physics.

[29]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..

[30]  Ben J M Heijmen,et al.  A novel flexible framework with automatic feature correspondence optimization for nonrigid registration in radiotherapy. , 2009, Medical physics.

[31]  Robert T. Schultz,et al.  Registration of Cortical Anatomical Structures via Robust 3D Point Matching , 1999, IPMI.

[32]  Pascal Haigron,et al.  Evaluation of Deformable Image Registration Methods for Dose Monitoring in Head and Neck Radiotherapy , 2015, BioMed research international.

[33]  Kari Tanderup,et al.  Surface membrane based bladder registration for evaluation of accumulated dose during brachytherapy in cervical cancer , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[34]  Christian P Karger,et al.  A stochastic approach to estimate the uncertainty of dose mapping caused by uncertainties in b-spline registration. , 2012, Medical physics.

[35]  H. Grönberg,et al.  A Systematic Overview of Radiation Therapy Effects in Rectal Cancer , 2003, Acta oncologica.

[36]  Christian Kirisits,et al.  Adaptive management of cervical cancer radiotherapy. , 2010, Seminars in radiation oncology.

[37]  Jong-Ha Lee,et al.  Topology Preserving Relaxation Labeling for Nonrigid Point Matching , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  S. Jamema,et al.  Inter-application variation of dose and spatial location of D(2cm(3)) volumes of OARs during MR image based cervix brachytherapy. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[39]  W. Melick,et al.  Experimental studies of ureteral peristaltic patterns in the pig. I. Similarity of pig and human ureter and bladder physiology. , 1961, The Journal of urology.

[40]  K. Brock,et al.  Accuracy of finite element model-based multi-organ deformable image registration. , 2005, Medical physics.

[41]  W. Tomé,et al.  On the dosimetric effect and reduction of inverse consistency and transitivity errors in deformable image registration for dose accumulation. , 2011, Medical physics.

[42]  Azriel Rosenfeld,et al.  Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[43]  Ihab S Ramadaan,et al.  Validation of Deformable Image Registration for Head & Neck Cancer Adaptive Radiotherapy , 2013 .

[44]  Josef Kittler,et al.  Relaxation labelling algorithms - a review , 1986, Image Vis. Comput..

[45]  Christian Kirisits,et al.  Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (I): concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[46]  Anand Rangarajan,et al.  Non-rigid point matching: algorithms, extensions and applications , 2001 .

[47]  G. Lockwood,et al.  Patient-assessed late toxicity rates and principal component analysis after image-guided radiation therapy for prostate cancer. , 2007, International journal of radiation oncology, biology, physics.

[48]  Meritxell Arenas,et al.  Dose accumulation during vaginal cuff brachytherapy based on rigid/deformable registration vs. single plan addition. , 2014, Brachytherapy.

[49]  S Wognum,et al.  Control over structure-specific flexibility improves anatomical accuracy for point-based deformable registration in bladder cancer radiotherapy. , 2013, Medical physics.

[50]  M. Valenti,et al.  The diagnosis of bladder outlet obstruction in men by ultrasound measurement of bladder wall thickness. , 1998, The Journal of urology.

[51]  Anand Rangarajan,et al.  A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..

[52]  Richard Sinkhorn A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices , 1964 .

[53]  I. Rutten,et al.  Improved survival of patients with cervical cancer treated with image-guided brachytherapy compared with conventional brachytherapy. , 2014, Gynecologic oncology.

[54]  S Wognum,et al.  Validation of deformable image registration algorithms on CT images of ex vivo porcine bladders with fiducial markers. , 2014, Medical physics.

[55]  David S. Doermann,et al.  Robust point matching for nonrigid shapes by preserving local neighborhood structures , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[56]  A. Ardeshir Goshtasby,et al.  A comparative study of transformation functions for nonrigid image registration , 2006, IEEE Transactions on Image Processing.

[57]  T. Rosewall,et al.  The relationship between external beam radiotherapy dose and chronic urinary dysfunction--a methodological critique. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[58]  Lara P Bonner Millar,et al.  Assessment of cumulative external beam and intracavitary brachytherapy organ doses in gynecologic cancers using deformable dose summation. , 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[59]  C. Lawton Radiation dose–volume effects of the urinary bladder , 2011 .

[60]  Christian Kirisits,et al.  Dose and volume parameters for MRI-based treatment planning in intracavitary brachytherapy for cervical cancer. , 2005, International journal of radiation oncology, biology, physics.

[61]  Lei Dong,et al.  Investigation of bladder dose and volume factors influencing late urinary toxicity after external beam radiotherapy for prostate cancer. , 2007, International journal of radiation oncology, biology, physics.