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Graff P, Huger S, Kirby N, Pouliot J. Radiothérapie adaptative ORL. Cancer Radiother 2013; 17:513-22. [DOI: 10.1016/j.canrad.2013.06.040] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Accepted: 06/23/2013] [Indexed: 11/29/2022]
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McGuinness C, Gottschalk A, Pinnaduwage D, Nakamura J, Pouliot J, Sims C, Lessard E, Chen J, Descovich M. Standard Fractionation IMRT With a MLC-Equipped Robotic Radiosurgery System. Int J Radiat Oncol Biol Phys 2013. [DOI: 10.1016/j.ijrobp.2013.06.1934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Nie K, Fekete CC, Pinnaduwage D, Cunha JAM, Mellis K, Descovich M, Beaulieu L, Pouliot J. WE-E-108-10: Validating a 192Ir-Based Small Animal Irradiation Apparatus Using a 3D-Printed Applicator: Comparison Between TG-43, Monte Carlo and Films Dosimetry. Med Phys 2013. [DOI: 10.1118/1.4815588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kirby N, Morin O, Ueda U, Nie K, Chen J, Pouliot J. TU-C-141-09: An Automated Workflow for Patient-Specific Verification of Deformable Image Registration. Med Phys 2013. [DOI: 10.1118/1.4815386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Singhrao K, Kirby N, Pouliot J. TU-C-141-01: The Development of a Set of Deformable Thermoplastic Materials That Mimic Tissue for Kilovoltage and Megavoltage Computed Tomography. Med Phys 2013. [DOI: 10.1118/1.4815378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Geneser S, Kirby N, Hsu I, Cunha JAM, Pouliot J. TU-C-141-07: Limitations of Summing Dose Across Fractions: A Simple Test to Identify Failure. Med Phys 2013. [DOI: 10.1118/1.4815384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Reber C, Neo A, Schoenhoff E, Kirby N, Singhrao K, Pouliot J. TU-C-141-10: A Three-Dimensional Thermoplastic Prostate Phantom for Evaluation of Deformable Image Registration. Med Phys 2013. [DOI: 10.1118/1.4815387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Poulin E, Fekete CC, Letourneau M, Fenster A, Pouliot J, Beaulieu L. SU-D-108-01: An Efficient and Robust Algorithm for Catheter Optimization in High Dose Rate Brachytherapy. Med Phys 2013. [DOI: 10.1118/1.4814011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kessler M, Pouliot J. TU-A-500-01: Deformable Image Registration, Contour Propagation and Dose Mapping: 101 and 201. Med Phys 2013. [DOI: 10.1118/1.4815320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Poulin E, Gardi L, Fenster A, Pouliot J, Beaulieu L. MO-F-144-03: Real-Time Guidance and Planning in Breast High Dose Rate Brachytherapy Using 3D Ultrasound. Med Phys 2013. [DOI: 10.1118/1.4815313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Held M, Morin O, Pouliot J. SU-E-J-180: A CT-Based On-Line Radiotherapy Treatment for Urgent Treatment Delivery. Med Phys 2013. [DOI: 10.1118/1.4814392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Pinnaduwage D, Sudhyadhom A, Descovich M, Hwang K, Novak G, Chen J, Pouliot J. SU-D-WAB-02: MRI-Based Treatment Planning in Brain Radiation Therapy: Validation of An Atlas-Based Pseudo-CT Generation Method. Med Phys 2013. [DOI: 10.1118/1.4814026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Cunha J, Saltiel D, Binnekamp D, Hsu I, Chang A, Pouliot J. OC-0182: Demonstration of real-time, automatic 3D seed & needle localization in brachytherapy using integrated EM tracking. Radiother Oncol 2013. [DOI: 10.1016/s0167-8140(15)32488-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Graff P, Huger S, Noel A, Wolf D, Peiffert D, Yom S, Pouliot J. A Tool for the Daily Management of Dose Guided Radiation Therapy for Head and Neck IMRT Patients. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Geneser S, Kirby N, Xing L, Pouliot J. The Impact of Errors in Nonrigid Medical Image Registration Methods on Dose Warping Accuracy. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Poulin E, Fekete CAC, Morrier J, Varfalvy N, Pouliot J, Beaulieu L. Sci-Sat AM: Brachy - 10: Adaptation of the CVT algorithm for catheter optimization in high dose rate brachytherapy. Med Phys 2012; 39:4646. [DOI: 10.1118/1.4740217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Ueda U, Chen J, Kirby N, Quivey J, Yom S, Pouliot J. SU-E-J-84: Investigating the Use of Deformable Algorithms to Register and Accumulate Dose to the Spinal Cord for Head-And-Neck Radiotherapy Patients. Med Phys 2012; 39:3671-3672. [DOI: 10.1118/1.4734919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kirby N, Chuang C, Pouliot J. WE-E-213CD-01: Best in Physics (Joint Imaging-Therapy) - Evaluation of Deformation Algorithm Accuracy with a Two-Dimensional Anatomical Pelvic Phantom. Med Phys 2012; 39:3959. [PMID: 28519997 DOI: 10.1118/1.4736157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To objectively evaluate the accuracy of 11 different deformable registration techniques for bladder filling. METHODS The phantom represents an axial plane of the pelvic anatomy. Urethane plastic serves as the bony anatomy and urethane rubber with three levels of Hounsfield units (HU) is used to represent fat and organs, including the prostate. A plastic insert is placed into the phantom to simulate bladder filling. Nonradiopaque markers reside on the phantom surface. Optical camera images of these markers are used to measure the positions and determine the deformation from the bladder insert. Eleven different deformable registration techniques are applied to the full- and empty-bladder computed tomography images of the phantom to calculate the deformation. The applied algorithms include those from MIMVista Software and Velocity Medical Solutions and 9 different implementations from the Deformable Image Registration and Adaptive Radiotherapy Toolbox for Matlab. The distance to agreement between the measured and calculated deformations is used to evaluate algorithm error. Deformable registration warps one image to make it similar to another. The root-mean-square (RMS) difference between the HUs at the marker locations on the empty-bladder phantom and those at the calculated marker locations on the full-bladder phantom is used as a metric for image similarity. RESULTS The percentage of the markers with an error larger than 3 mm ranges from 3.1% to 28.2% with the different registration techniques. This range is 1.1% to 3.7% for a 7 mm error. The least accurate algorithm at 3 mm is also the most accurate at 7 mm. Also, the least accurate algorithm at 7 mm produces the lowest RMS difference. CONCLUSIONS Different deformation algorithms generate very different results and the outcome of any one algorithm can be misleading. Thus, these algorithms require quality assurance. The two-dimensional phantom is an objective tool for this purpose.
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Ueda U, Chen J, Hsu I, Reed G, Pouliot J. SU-E-J-94: Investigating the Use of Deformable Algorithms to Register MR Images Acquired with and Without an Endo-Rectal Coil. Med Phys 2012; 39:3674. [DOI: 10.1118/1.4734930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Held M, Kirby N, Morin O, Pouliot J. TH-C-BRB-02: Dosimetric Analysis of Inverse-Planned Modulated-Arc Total-Body Irradiation. Med Phys 2012. [DOI: 10.1118/1.4736305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Morin O, Held M, Kirby N, Perez-Andujar A, Chuang C, Pouliot J. SU-E-T-556: Integration of Lung Blocks in the Inverse Planning Process of Modulated Arc Total Body Irradiation Using Cone Beam CT. Med Phys 2012; 39:3833. [DOI: 10.1118/1.4735645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Chuang C, Morin O, Pouliot J. SU-E-J-96: Investigation into the Accuracy of Deformable Registration Algorithms for Use in Dose Summation: A Case Study in Combined Modalities. Med Phys 2012; 39:3674. [PMID: 28519824 DOI: 10.1118/1.4734932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To better understand the accuracy and limitation of deformable registration algorithms for dose summation by studying the results produced through two different deformable registration techniques for a clinical case of combining a Cyberknife radiosurgery plan and an electron boost to the scar tissues. METHODS A patient was treated with a Cyberknife plan with supine CT and an electron boost plan with prone CT concurrently. The CT, RT structures and dose grids were exported from the Cyberknife MultiPlan system and the Pinnacle system and imported into two commercial DICOM viewing systems equipped with deformable registration algorithms. One of the systems uses intensity-based free-form deformable registration while the other uses B-spline free-form deformable registration. The electron boost plan was first registered to the CK plan using rigid registration, then secondly using deformable registration in each system. The region of interest used for registration was chosen to encompass the whole CT volumes due to the supine vs. prone positions. RESULTS The summation doses for the Cyberknife CTV and critical structures do not differ between rigid registration and deformable registration for both systems. The electron boost volume does show higher mean dose received for the deformable registration compared with rigid registration for both systems (12.90 Gy vs. 11.71 Gy and 12.39 Gy vs. 11.53 Gy). There are slight variations between the doses produced by the two systems for all the structures, with an averaged difference of approximately 0.02% to 2.63%. CONCLUSIONS These results show that for cases like this one, where the two treatment volumes do not overlap, there will not be significant differences between rigid and deformable registration, and that the only significant difference in summation dose between the different deformable registration algorithms is where the volume is deformed the most, in this case, the electron boost volume.
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Perez-Andujar A, Morin O, Chuang C, Pouliot J. SU-E-T-123: Understanding the Meaning of IMRT QA Passing Rates with a 2D Diode Array. Med Phys 2012; 39:3731. [PMID: 28517152 DOI: 10.1118/1.4735181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE A lower than ideal tolerance limit is used in intensity-modulated radiation therapy quality assurance (IMRT QA) with a 2D diode array due to passing rate fluctuations. The objective is to identify patterns in the passing rates to predict sources of uncertainty that can affect treatment delivery, for example, the need to re-calibrate the multileaf collimator when the passing rates start to decrease. METHODS Five complex clinical prostate IMRT plans were evaluated with a 2D diode array. The QA for each plan was repeated five times during one and a half month period. One of the plans was randomly selected and repeated the same day five consecutive times. The planar doses calculated by the treatment planning system were compared to the measurements of the 2D diode array. The individual passing rates per beam per plan were compared. RESULTS The average passing rate for each plan ranged from 94% to 97%. While the average percent difference of this ranged between -7.67% to 17.61%. Additionally, the minimum and maximum standard deviation among all beams was 0.13% and 9.63% respectively. We also compared the standard deviation of a plan QA repeated during different days versus a plan QA repeated during the same day. For the former the highest standard deviation was 6.05 % while for the later 0.21%. We noticed that the largest discrepancy between the passing rates was for angles at around 155° and 205°. CONCLUSION These results show some inconsistency in the IMRT QA passing rates from one day to the next. Moreover, lower passing rates for a specific angle like the ones shown here can represent possible mechanical or tuning problems with the linear accelerator at these specific locations. Early identification of these sources of uncertainty can greatly improve the precision of the treatment delivery.
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Nie K, Pouliot J, Hwang A, Sneed P, McDermott M, Ma L. SU-D-211-04: Sector Intensity Modulated (SIM) Gamma Knife Stereotactic Radiosurgery. Med Phys 2012; 39:3610. [PMID: 28517415 DOI: 10.1118/1.4734658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The latest Gamma Knife (GK) system, Perfexion, consists of 192 Co-60 sources divided into eight sectors. Treatment delivery includes multiple shots placed at different positions. For every shot, each sector can be either blocked or open with four different aperture sizes. However, the beam-on time is designed to be fixed. We proposed an innovative concept, Sector Intensity Modulated (SIM) Gamma Knife by dynamically varying the beam-on time for each individual sector to improve stereotactic radiosurgery planning quality. METHODS The anatomic structures and dose matrices from each sector for every shot were obtained from the GK workstation. The beam-on time for each sector was decomposed with various discrete levels and brute-force algorithm was used to get the optimal solution. The resulting SIM plan was then re-entered into the GK workstation. Six indices were used to benchmark the plan quality: Coverage, Conformality, Gradient, Maximum Dose(s) to critical structure(s), Volume receiving over 8 and 12 Gy. All the SIM plans in comparison with the original plans were further reviewed by an experienced oncologist. RESULTS The simulations were tested on various pituitary adenoma cases. Results consistently showed that SIM yielded better plans with all quantitative indices improved compared to original plan. It provides better conformality, quicker drop off of the isodose line outside the tumor, lower doses to the critical structures as optical- nerve/chiasm while maintaining at least 99% coverage of the tumor. Results were more favorable according to oncologist's view. In particular, up to 20% or 0.6 cc volume decrease in healthy tissue receiving 8 Gy was observed. This may translate into clinically observable reduction in acute/late toxicities. CONCLUSIONS Our preliminary results show that Sector Intensity Modulated Gamma Knife offers superior treatment plans compared to the originally delivered plans. Further works as adding dynamic shot location and dynamic shot shaping will be discussed.
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Cunha JA, Siauw T, Garg A, Zhang N, Goldberg K, Stoianovici D, III MR, Hsu IC, Pouliot J. WE-A-BRB-01: Robotic Brachytherapy Demonstration: Implant of HDR Brachytherapy Needle Configuration Computer-Optimized to Avoid Critical Structures Near the Bulb of the Penis. Med Phys 2012. [DOI: 10.1118/1.4736042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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