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- Proton therapy (7)
- Proton beam therapy (6)
- Radiotherapy (3)
- Breast cancer (2)
- SPArc (2)
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- VMAT beam complexity (2)
- (SPArc) (1)
- (SSWT)Spot-Scanning proton arc (1)
- Adaptive radiotherapy (1)
- Administration and Dosage (1)
- Axillary node (1)
- BOC-IMPTLET (1)
- Blood dosimetry (1)
- Brain metastases (1)
- Cancer Cells (1)
- Collimator rotation (1)
- Deep learning (1)
- Deep-learning (1)
- Dose (1)
- Electron beams (1)
- Endoluminal endoscopic ultrasound (1)
- FDG-PET (1)
- Fiducial markers (1)
- Gantry rotation (1)
- Gold (1)
- HER2-positive (1)
- Head and neck cancer (1)
- Hepatocellular carcinoma (1)
- IMPT (1)
- Internal lead shielding (1)
Articles 31 - 58 of 58
Full-Text Articles in Radiation Medicine
An Evolutionary Algorithm Of The Spot Sparsity Optimization In Proton Arc Therapy, Lewei Zhao, Gang Liu, Xiaoqiang Li, Xuanfeng Ding
An Evolutionary Algorithm Of The Spot Sparsity Optimization In Proton Arc Therapy, Lewei Zhao, Gang Liu, Xiaoqiang Li, Xuanfeng Ding
Conference Presentation Abstracts
Purpose: Spot-scanning Proton Arc (SPArc) plan normally contains thousands of spot numbers in which is the delivery time is proportional to the number of spots. It is critical to find an optimal SPArc with a fast delivery speed while maintaining a good plan quality. Thus, we developed a novel evolutionary algorithm to directly search the optimal spot sparsity solution in the balance of plan quality and beam delivery time (BDT). Methods: The planning platform included a plan quality objective, a selector and a generator. A selector was designed to filter or add the spot according to the expected spot number, …
Physics-Informed Machine Learning For Estimating Pulmonary Perfusion From Non-Contract 4dct, Y Liu, A Nowacki, R Castillo, Y Vinogradskiy, G Nair, C Stevens, E Castillo
Physics-Informed Machine Learning For Estimating Pulmonary Perfusion From Non-Contract 4dct, Y Liu, A Nowacki, R Castillo, Y Vinogradskiy, G Nair, C Stevens, E Castillo
Conference Presentation Abstracts
Purpose: Novel methods have been developed for functional avoidance that proposes to use 4DCT to derive lung ventilation and perfusion images. Previous methods for quantifying lung perfusion on non-contrast 4DCT rely either on HU-based physical models or black-box deep learning models. While deep learning typically achieves higher accuracies in image processing tasks, physical models provide a rationale for model predictions. The purpose of this study is to introduce a biophysics-informed machine learning method for estimating pulmonary perfusion from noncontrast 4DCT. Our approach is designed to combine the predictive power of neural networks with the interpretability of physical modeling, with the …
Quantifying Copd Disease Severity With Ct-Derived Perfusion Imaging, A Nowacki, G Nair, Y Liu, C J. Galban, C Stevens, E Castillo
Quantifying Copd Disease Severity With Ct-Derived Perfusion Imaging, A Nowacki, G Nair, Y Liu, C J. Galban, C Stevens, E Castillo
Conference Presentation Abstracts
Purpose: CT-derived perfusion (CTP) is a novel image processing modality that quantifies pulmonary perfusion from non-contrast inhale/exhale CT image pairs. While existing imaging markers for COPD primarily depend on morphological features or HU thresholding, CTP provides a quantitative marker of blood flow and has been shown to identify disease progression prior to the appearance structural abnormalities. In this study, we assess the potential utility of CTP as a disease severity marker for COPD. Methods: CTP was computed from high-resolution inhale-exhale CT scans for 785 patients with a Global Initiative for Obstructive Lung Disease (GOLD) score ranging from 0 to 4 …
Per-Fraction Deviation In Logfile Parameters Reported In A Single Vmat Arc, M Snyder, D To, D Drake, J Liang, D Lack
Per-Fraction Deviation In Logfile Parameters Reported In A Single Vmat Arc, M Snyder, D To, D Drake, J Liang, D Lack
Conference Presentation Abstracts
Purpose: Measurement-based QA identifies large deviations between planned and delivered dose, but subtle—yet clinically unacceptable—deviations can pass through the conventional QA process unnoticed. Incorporating logfilebased information into pre-treatment QA should result in more robust QA overall, provided such information is stable across the entire treatment course. We present here a case-study of logfile stability to investigate the potential of logfiles as useful adjuncts in the QA process. Methods: We analyzed logfiles from six fractions of a VMAT plan delivered on an Elekta Infinity linac with an Agility MLC. To simplify the analysis, we considered a single 52 control point VMAT …
A Novel Simultaneous Plan Quality And Beam Delivery Time Sparc Optimization Platform Using Primal Dual Active Set With Continuation (Pdasc), Lewei Zhao, J You, Gang Liu, X Lu, Xuanfeng Ding
A Novel Simultaneous Plan Quality And Beam Delivery Time Sparc Optimization Platform Using Primal Dual Active Set With Continuation (Pdasc), Lewei Zhao, J You, Gang Liu, X Lu, Xuanfeng Ding
Conference Presentation Abstracts
Purpose: Proton arc is a new treatment modality that delivers proton beams while continuously rotating the gantry. This study proposed a regularized l0-minimization primal dual active set with continuation (PDASC) algorithm for proton arc spot sparsity optimization to simultaneously optimize the plan quality and the beam delivery time (BDT). Methods: Based on the previously published beam delivery sequence model of IBA ProteusONE®, proton treatment delivery time is actually dominated by spot switching time (SSWT). SSWT is approximately linearly dependent on spot numbers. So we used a non-convex l0-norm to control the sparsity level of the regularized solution. The clinical objective …
Validation And Implementation Of A Dedicated Spine Stereotactic Radiosurgery Treatment Planning System, C Knill, R Sandhu, B Loughery, L Lin, Z Seymour, P Chinnaiyan, T Quinn, M Almahariq, R Deraniyagala
Validation And Implementation Of A Dedicated Spine Stereotactic Radiosurgery Treatment Planning System, C Knill, R Sandhu, B Loughery, L Lin, Z Seymour, P Chinnaiyan, T Quinn, M Almahariq, R Deraniyagala
Conference Presentation Abstracts
Purpose: A dedicated spine stereotactic radiosurgery optimization algorithm was commissioned for 6FFF Versa HD deliveries. Plan comparisons with the existing clinical optimization algorithm along with the dosimetric validation of the deliveries were investigated. Methods: Nine stereotactic spine patients, previously treated with Pinnacle generated plans, were re-optimized using Brainlab’s SRS spine planning Element. Three additional Elements plans were created for each patient: 1) initial optimization using a pencil beam calculation algorithm (PBC), 2) Monte Carlo (MC) recalculation of the PBC plan, and 3) re-optimization of the PBC plan using Monte Carlo. Patient dose from PBC plans was compared to MC recalculated …
Comparison Of Aperture Complexity Between Vmat Plans Using Conventionally Flattened (Ff) And Flattening-Filter-Free (Fff) Beams, Q Liu, J Liang
Comparison Of Aperture Complexity Between Vmat Plans Using Conventionally Flattened (Ff) And Flattening-Filter-Free (Fff) Beams, Q Liu, J Liang
Conference Presentation Abstracts
Purpose: VMAT plans with high amount of complex apertures could lead to less confidence in dose calculation accuracy due to machine modelling and dose algorithm limitations. It was hypothesized that VMAT plans generated with FFF beams would result in more complex aperture shapes due to the non-flattened beam profile. The purpose of this study was to test this hypothesis by assessing various plan complexity metrics. Methods: Target and organ-at-risk structures were created on an anthropomorphic phantom in various sites: lung, prostate, spine, pancreas, breast, rectum and HN. Hypo-fractioned VMAT plans were generated using Elekta Agility MLC in Pinnacle TPS. Both …
A Team Learning Initiative In Undergraduate Medical Physics, B Loughery, J Mcbrady, M Joiner
A Team Learning Initiative In Undergraduate Medical Physics, B Loughery, J Mcbrady, M Joiner
Conference Presentation Abstracts
Purpose: To improve comprehension in traditionally difficult subjects for a senior-level undergraduate medical physics course, we designed and implemented a Team Learning technique. This work evaluates the translation of Team Learning to medical physics. Methods: At the beginning of the term, students were sorted into 3 even teams (students/year = 14.5). The class met twice weekly: a traditional lecture was taught first, and each team was assigned a specific 1/3 of the lecture material in which to specialize. Each team was assigned to create a PowerPoint presentation on their material using outside references and without copying the original figures or …
Clinical Experience Of Exactrac To Guide Six Degree Of Freedom Fiducial Marker Based Patient Positioning For Hypo-Prostate Fractionation, R Sandhu, C Knill, B Loughery, L Lin, Z Seymour
Clinical Experience Of Exactrac To Guide Six Degree Of Freedom Fiducial Marker Based Patient Positioning For Hypo-Prostate Fractionation, R Sandhu, C Knill, B Loughery, L Lin, Z Seymour
Conference Presentation Abstracts
Purpose: ExacTrac is clinically used for inter- and intra- fraction shift corrections for hypofractionated prostate patients by registering to implanted fiducial markers. ExacTrac corrections for thirty-three prostate patients were collated and analyzed. Methods: ExacTrac shifts were exported for prostate patients (140 total fractions) who were treated with two 180° partial arcs with beam-on time less than 60seconds/arc. Prior to each treatment fraction, a cone beam computed tomography (CBCT) image was acquired to verify bladder and rectal filling against simulation. Following CBCT, ExacTrac was used for initial prostate localization and shifts were applied using a 6 degree-of-freedom (6D) couch. Following initial …
Feasibility Of Utilizing Spot-Scanning Proton Arc (Sparc) Therapy For Whole Lung Irradiation, Lewei Zhao, Gang Liu, An Qin, Di Yan, Craig Stevens, Xiaoqiang Li, Rohan Deraniyagala, Xuanfeng Ding
Feasibility Of Utilizing Spot-Scanning Proton Arc (Sparc) Therapy For Whole Lung Irradiation, Lewei Zhao, Gang Liu, An Qin, Di Yan, Craig Stevens, Xiaoqiang Li, Rohan Deraniyagala, Xuanfeng Ding
Conference Presentation Abstracts
Purpose or Objective We reported the first feasibility study of utilizing spot-scanning arc therapy (SPArc) whole lung irradiation for a pediatric patient to reduce cardiac toxicity. Materials and Methods A 13 year-old patient with metastatic Ewing sarcoma treated with Volumetric Modulated Arc Therapy (VMAT) in our institution was selected (Figure 1A). The clinical VMAT plan used three 360-deg arcs with 6 MV based on the Elekta HD. Intensity Modulated Proton Therapy (IMPT) plan was generated using 2 iso and 4 treatment fields (Figure 1B) based on the single field optimization approach in a clinical treatment planning system (TPS) (RayStation version …
Feasibility Of Acute Hematologic Toxicity Model-Based Patient Selection For Proton Beam Therapy, P Liu, X Cao, X Gao, S Shang, J Liu, Z Wang, Xuanfeng Ding
Feasibility Of Acute Hematologic Toxicity Model-Based Patient Selection For Proton Beam Therapy, P Liu, X Cao, X Gao, S Shang, J Liu, Z Wang, Xuanfeng Ding
Conference Presentation Abstracts
Purpose or Objective To investigate the potential clinical benefit of utilizing IMPT to reduce acute hematologic toxicity for locally advanced nonsmall cell lung cancer (NSCLC) patients and explore the feasibility of a model-based patient selection approach via the normal tissue complication probability (NTCP). Materials and Methods Twenty patients with locally advanced NSCLC were enrolled.[ld1] Volumetric modulated arc photon therapy (VMAT) and intensity-modulated proton therapy (IMPT) plans were generated with a prescription dose of 60 Gy in 30 fractions. A wide range of cases with varied tumor size, location, stations of metastatic lymph nodes were selected to represent the general cancer …
Mri-Based Synthetic Ct Images For Impt Treatment Planning Of Nasopharyngeal Carcinoma Patients, Shupeng Chen, Y Peng, Y Liu, C Zhao, X Deng, An Qin, Di Yan, Craig Stevens, Rohan Deraniyagala, Xuanfeng Ding
Mri-Based Synthetic Ct Images For Impt Treatment Planning Of Nasopharyngeal Carcinoma Patients, Shupeng Chen, Y Peng, Y Liu, C Zhao, X Deng, An Qin, Di Yan, Craig Stevens, Rohan Deraniyagala, Xuanfeng Ding
Conference Presentation Abstracts
Purpose or Objective To investigate the feasibility of using an MRI-based synthetic CT image (SCT) generated via a generative adversarial network (GAN) for intensity-modulated proton therapy (IMPT) treatment planning of nasopharyngeal carcinoma (NPC) patients. Materials and Methods T1-weighted MR images and paired CT (PCT) images were obtained from 158 NPC patients with radiotherapy immobilization. Deformable image registration was performed between each MR and PCT image for each patient to create an MR-CT pair. Thirteen pairs were randomly chosen as independent test sets and the remaining 145 pairs (10 for validation and 135 for training) were used to build a conditional …
Contralateral Control Rate With Unilateral Proton Beam Radiotherapy For Oropharyngeal Scc: A Multi-Institutional Prospective Study From The Proton Collaborative Group, Aleksander Vayntraub, Thomas Quinn, John Chang, Noah Kalman, Sanford Katz, James Urbanic, Arpi Thukral, Jason Molitoris, Craig Stevens, Rohan Deraniyagala
Contralateral Control Rate With Unilateral Proton Beam Radiotherapy For Oropharyngeal Scc: A Multi-Institutional Prospective Study From The Proton Collaborative Group, Aleksander Vayntraub, Thomas Quinn, John Chang, Noah Kalman, Sanford Katz, James Urbanic, Arpi Thukral, Jason Molitoris, Craig Stevens, Rohan Deraniyagala
Conference Presentation Abstracts
Introduction: Select patients with oropharyngeal SCC are candidates for unilateral radiation therapy. We sought to investigate if ipsilateral targeting leads to increased contralateral recurrences. Methods: We queried the PCG database for patients treated with unilateral proton RT for head and neck SCC from 2015 – 2020 at 12 institutions. DICOMs were evaluated to ensure dose delivered matched a unilateral proton treatment plan. Demographic, clinical and pathological, toxicity and dosimetry information were compiled. Results: We found 43 cases treated with unilateral proton RT. 94% (n¼16) of recurrent cases received prior radiation. Oropharyngeal sites included tonsillar fossa (n¼32), and base of tongue …
The First Modeling Of The Spot-Scanning Proton Arc(Sparc) Delivery Sequence And Investigating Its Efficiency Improvement, Xuanfeng Ding, Gang Liu, Lewei Zhao, Rohan Deraniyagala, Craig Stevens, Di Yan, Xiaoqiang Li
The First Modeling Of The Spot-Scanning Proton Arc(Sparc) Delivery Sequence And Investigating Its Efficiency Improvement, Xuanfeng Ding, Gang Liu, Lewei Zhao, Rohan Deraniyagala, Craig Stevens, Di Yan, Xiaoqiang Li
Conference Presentation Abstracts
Purpose: Introduce an experimental approach to model a precise prototype arc system and quantitatively assess its efficiency improvement in the routine proton clinical operation. Methods: The SPArc delivery sequence model(DSMSPArc) includes two kinds of parameters:(1) mechanical parameters. (2) irradiation parameters. Log files and an independent gantry inclinometer were used to derive the irradiation parameters through a series of test plans. The in-house DSMSPArc was established by fitting both mechanical and irradiation parameters. Eight SPArc plans from different disease sites were used to validate the model’s accuracy. To assess the treatment efficiency improvement, the DSMSPArc was used to simulate the SPArc …
A Direct Machine-Specific Parameters Incorporated Spot-Scanning Proton Arc (Sparc) Algorithm, Gang Liu, Lewei Zhao, Di Yan, Xiaoqiang Li, Xuanfeng Ding
A Direct Machine-Specific Parameters Incorporated Spot-Scanning Proton Arc (Sparc) Algorithm, Gang Liu, Lewei Zhao, Di Yan, Xiaoqiang Li, Xuanfeng Ding
Conference Presentation Abstracts
Purpose: To address the challenges of generating a deliverable and efficient spot-scanning proton arc (SPArc) plan for a proton therapy system. We developed a novel SPArc optimization algorithm (SPArcDMSP) by directly incorporating machinespecific parameters such as mechanical constraints and delivery sequence. Method and Material: A SPArc delivery sequence model (DSMarc) was built based on the machine-specific parameters of the prototype arc delivery system IBA ProteusONEt. The SPArcDMSP resamples and adjusts each control point’s delivery speed based on the DSMarc calculation through the iterative approach (Fig1). Users could set the expected delivery time and gantry max acceleration as a mechanical constraint …
A Quantitative Dose Pertubation Comparison Study Between Gold And Platinum Visicoil Fiducial Markers In Proton Beam Therapy, Xuanfeng Ding, Gang Liu, Weili Zheng, Jessica Vadas, Xiaoqiang Li, Lewei Zhao, An Qin, Daniel Krauss, Di Yan
A Quantitative Dose Pertubation Comparison Study Between Gold And Platinum Visicoil Fiducial Markers In Proton Beam Therapy, Xuanfeng Ding, Gang Liu, Weili Zheng, Jessica Vadas, Xiaoqiang Li, Lewei Zhao, An Qin, Daniel Krauss, Di Yan
Conference Presentation Abstracts
Purpose: To quantitatively investigate the dose perturbations difference between gold and platinum VISICOILTM fiducial markers in proton beam therapy Method: Gold and platinum VISICOILTM fiducial markers with two different dimensions were tested, including 0.35 & 0.5mm in diameter and 5mm in length. Total four kinds of markers. Gafchromic EBT2 was used to measure dose perturbations along the beam path in a ‘‘sandwich’’ setup (Figure 1). Dose perturbation was reported in each depth (0.3mm, 1.65mm, 3.00mm, 5.40mm, 7.80mm, 10.20mm, 12.60mm, 18.15mm). Relative proton stopping power relative to water were calculated through National Institute of Standards and Technology database and SRIM (version …
Assessing The Interplay Effect Based On A Precise Machine-Specific Delivery Sequence And Time For Cyclotron Accelerator Proton Therapy System., Lewei Zhao, Gang Liu, Jiajian Sher, Andrew Lee, Di Yan, Rohan Deraniyagala, Craig Stevens, Xiaoqiang Li, Shikui Tang, Xuanfeng Ding
Assessing The Interplay Effect Based On A Precise Machine-Specific Delivery Sequence And Time For Cyclotron Accelerator Proton Therapy System., Lewei Zhao, Gang Liu, Jiajian Sher, Andrew Lee, Di Yan, Rohan Deraniyagala, Craig Stevens, Xiaoqiang Li, Shikui Tang, Xuanfeng Ding
Conference Presentation Abstracts
Purpose: We proposed an experimental approach to build a precise machine-specific model for standard, volumetric, and layer repainting delivery based on a cyclotron accelerator system. Then, we assessed the interplay effect using a 4D mobile lung target phantom compared to a generic delivery sequence model from West German Proton Therapy Essen (WPE). Methods: The machine delivery log files, from an IBA ProteusPLUSt system, were retrospectively analyzed to quantitatively model energy layer switching time, spot switching time, and spot drill time for standard and volumetric repainting delivery. To quantitatively evaluate the interplay effect, a series of digital thoracic 4DCT image sets …
Monte Carlo (Gate/Geant4) Estimation Of Clinician Hand Dose From Radionuclide Injection, H Edelman, Brian Loughery
Monte Carlo (Gate/Geant4) Estimation Of Clinician Hand Dose From Radionuclide Injection, H Edelman, Brian Loughery
Conference Presentation Abstracts
No abstract provided.
Investigate The Delivery Efficiency And Accuracy Of Spot-Scanning Proton Arc (Sparc) In Comparison With Conventional Impt, Automatic Step-And-Shoot Multifield Impt, Lewei Zhao, Gang Liu, Di Yan, Xiaoqiang Li, Xuanfeng Ding
Investigate The Delivery Efficiency And Accuracy Of Spot-Scanning Proton Arc (Sparc) In Comparison With Conventional Impt, Automatic Step-And-Shoot Multifield Impt, Lewei Zhao, Gang Liu, Di Yan, Xiaoqiang Li, Xuanfeng Ding
Conference Presentation Abstracts
No abstract provided.
Changes In Post-Treatment Cardiac Pet Avidity Predict Overall Survival In Lung Cancer Patients Treated With Chemoradiation, T Santangelo, F Forghani, C Rusthoven, R Castillo, E Castillo, B Jones, T Guerrero, Y Vinogradskiy
Changes In Post-Treatment Cardiac Pet Avidity Predict Overall Survival In Lung Cancer Patients Treated With Chemoradiation, T Santangelo, F Forghani, C Rusthoven, R Castillo, E Castillo, B Jones, T Guerrero, Y Vinogradskiy
Conference Presentation Abstracts
No abstract provided.
Toward Online Adaptive Proton Therapy Of Sinonasal Cancer: The Dosimetric Accuracy Of Utilizing Deep-Learning Synthetic Ct From Cbct For Daily Treatment Dose Verification, An Qin, Lewei Zhao, Shupeng Chen, Xiaoqiang Li, Weili Zheng, Di Yan, Rohan Deraniyagala, Xuanfeng Ding
Toward Online Adaptive Proton Therapy Of Sinonasal Cancer: The Dosimetric Accuracy Of Utilizing Deep-Learning Synthetic Ct From Cbct For Daily Treatment Dose Verification, An Qin, Lewei Zhao, Shupeng Chen, Xiaoqiang Li, Weili Zheng, Di Yan, Rohan Deraniyagala, Xuanfeng Ding
Conference Presentation Abstracts
No abstract provided.
Current State Of Lgbtqia+ Healthcare, Jessica Vadas
Current State Of Lgbtqia+ Healthcare, Jessica Vadas
Conference Presentation Abstracts
No abstract provided.
Develop A Rotational Robust Optimized Spot-Scanning Proton Arc (Sparc) Algorithm, Shupeng Chang, Gang Liu, Lewei Zhao, Weili Zheng, An Qin, Di Yan, Xiaoqiang Li, Xuanfeng Ding
Develop A Rotational Robust Optimized Spot-Scanning Proton Arc (Sparc) Algorithm, Shupeng Chang, Gang Liu, Lewei Zhao, Weili Zheng, An Qin, Di Yan, Xiaoqiang Li, Xuanfeng Ding
Conference Presentation Abstracts
No abstract provided.
Impact Of Flattening Filter-Free Field On Online Adaptive Radiotherapy Using Virtual Couch Shift (Vcs) Technique, Q Liu, J Liang, D Yan
Impact Of Flattening Filter-Free Field On Online Adaptive Radiotherapy Using Virtual Couch Shift (Vcs) Technique, Q Liu, J Liang, D Yan
Conference Presentation Abstracts
No abstract provided.
A Direct Machine-Specific Parameters Incorporated Spot-Scanning Proton Arc (Sparc) Algorithm, Gang Liu, Lewei Zhao, Di Yan, Xiaoqiang Li, Xuanfeng Ding
A Direct Machine-Specific Parameters Incorporated Spot-Scanning Proton Arc (Sparc) Algorithm, Gang Liu, Lewei Zhao, Di Yan, Xiaoqiang Li, Xuanfeng Ding
Conference Presentation Abstracts
No abstract provided.
The First Modeling Of The Spot-Scanning Proton Arc (Sparc) Delivery Sequence And Investigating Its Efficiency Improvement In The Clinical Proton Treatment Workflow, Gang Liu, Lewei Zhao, Di Yan, Rohan Deraniyagala, Craig Stevens, Xiaoqiang Li, Xuanfeng Ding
The First Modeling Of The Spot-Scanning Proton Arc (Sparc) Delivery Sequence And Investigating Its Efficiency Improvement In The Clinical Proton Treatment Workflow, Gang Liu, Lewei Zhao, Di Yan, Rohan Deraniyagala, Craig Stevens, Xiaoqiang Li, Xuanfeng Ding
Conference Presentation Abstracts
No abstract provided.
Assess The Interplay Effect Based On The Cyclotron Accelerator Proton Therapy System Machine-Specific Delivery Sequence Model, Lewei Zhao, Gang Liu, J Shen, A Lee, Di Yan, Rohan Deraniyagala, Craig Stevens, Weili Zheng, Xiaoqiang Li, S Tang, Xuanfeng Ding
Assess The Interplay Effect Based On The Cyclotron Accelerator Proton Therapy System Machine-Specific Delivery Sequence Model, Lewei Zhao, Gang Liu, J Shen, A Lee, Di Yan, Rohan Deraniyagala, Craig Stevens, Weili Zheng, Xiaoqiang Li, S Tang, Xuanfeng Ding
Conference Presentation Abstracts
No abstract provided.
Structure Sparsity Of The Spot Optimization In Proton Arc Therapy, Lewei Zhao
Structure Sparsity Of The Spot Optimization In Proton Arc Therapy, Lewei Zhao
Conference Presentation Abstracts
Radiation therapy is one of the main cancer treatments that uses radiation to kill cancer cells. Proton therapy, or proton radiotherapy, is a type of particle therapy that uses a beam of protons to irradiate tumor volume. Beaumont proton therapy center research group invented the first robust and delivery-efficient spot-scanning proton arc (SPArc) therapy in 2016. Based on our beam modeling platform, we have found that the spot switching time (SSWT) is proportional to spot numbers. We aim to develop a direct mathematical optimization method to reduce the spot numbers for SPArc based on an independent optimization method to reduce …