A quantitative framework for patient-specific collision detection in proton therapy

被引:0
|
作者
Northway, Stephen K. [1 ,2 ]
Vallejo, Bailey M. [1 ,2 ]
Liu, Lawrence [1 ,2 ]
Hansen, Emily E. [1 ,2 ]
Tang, Shikui [3 ]
Mah, Dennis [4 ]
Macewan, Iain J. [1 ,2 ]
Urbanic, James J. [1 ,2 ]
Chang, Chang [1 ,2 ,5 ]
机构
[1] Univ Calif San Diego, Dept Radiat Med & Appl Sci, La Jolla, CA USA
[2] Calif Protons Canc Therapy Ctr, San Diego, CA USA
[3] Texas Ctr Proton Therapy, Irving, TX USA
[4] Procure Proton Therapy Ctr, Somerset, NJ USA
[5] Univ Calif San Diego, Dept Radiat Med & Appl Sci, 9730 Summers Ridge Rd, San Diego, CA 92121 USA
来源
关键词
collision detection; lateral penumbra; proton therapy; GAUSSIAN-BEAM MODEL; AVOIDANCE; PREDICTION; SIMULATION; PREVENTION; SCATTERING; SOFTWARE;
D O I
10.1002/acm2.14247
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundBeam modifying accessories for proton therapy often need to be placed in close proximity of the patient for optimal dosimetry. However, proton treatment units are larger in size and as a result the planned treatment geometry may not be achievable due to collisions with the patient. A framework that can accurately simulate proton treatment geometry is desired.PurposeA quantitative framework was developed to model patient-specific proton treatment geometry, minimize air gap, and avoid collisions.MethodsThe patient's external contour is converted into the International Electrotechnique Commission (IEC) gantry coordinates following the patient's orientation and each beam's gantry and table angles. All snout components are modeled by three-dimensional (3D) geometric shapes such as columns, cuboids, and frustums. Beam-specific parameters such as isocenter coordinates, snout type and extension are used to determine if any point on the external contour protrudes into the various snout components. A 3D graphical user interface is also provided to the planner to visualize the treatment geometry. In case of a collision, the framework's analytic algorithm quantifies the maximum protrusion of the external contour into the snout components. Without a collision, the framework quantifies the minimum distance of the external contour from the snout components and renders a warning if such distance is less than 5 cm.ResultsThree different snout designs are modeled. Examples of potential collision and its aversion by snout retraction are demonstrated. Different patient orientations, including a sitting treatment position, as well as treatment plans with multiple isocenters, are successfully modeled in the framework. Finally, the dosimetric advantage of reduced air gap enabled by this framework is demonstrated by comparing plans with standard and reduced air gaps.ConclusionImplementation of this framework reduces incidence of collisions in the treatment room. In addition, it enables the planners to minimize the air gap and achieve better plan dosimetry.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Patient-specific stopping power calibration for proton therapy planning based on single-detector proton radiography
    Doolan, P. J.
    Testa, M.
    Sharp, G.
    Bentefour, E. H.
    Royle, G.
    Lu, H-M
    PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (05): : 1901 - 1917
  • [32] Optical Imaging for Patient-Specific Treatment Planning and Collision Avoidance
    Chanyavanich, V.
    Roper, J.
    Schreibmann, E.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2013, 87 (02): : S681 - S681
  • [33] Improved Patient-Specific Optimization of the Stopping Power Calibration for Proton Therapy Planning Using a Single Proton Radiography
    Rinaldi, I.
    Parodi, K.
    Krah, N.
    MEDICAL PHYSICS, 2015, 42 (06) : 3199 - 3199
  • [34] A Patient-Specific Model for Collision Prediction Using an Azure Kinect
    Simpson, Z.
    Sperling, N.
    MEDICAL PHYSICS, 2020, 47 (06) : E572 - E572
  • [35] Initial Experience of Patient-Specific QA Using a Pencil Beam Scanning Proton Therapy System
    Piskulich, F.
    Zhang, Y.
    Perles, L.
    Mascia, A.
    Lepage, R.
    Giebeler, A.
    Dong, L.
    MEDICAL PHYSICS, 2014, 41 (06) : 384 - 384
  • [36] Highly efficient and sensitive patient-specific quality assurance for spot-scanned proton therapy
    Johnson, J. E.
    Beltran, C.
    Tseung, H. Wan Chan
    Mundy, D. W.
    Kruse, J. J.
    Whitaker, T. J.
    Herman, M. G.
    Furutani, K. M.
    PLOS ONE, 2019, 14 (02):
  • [37] Application of Six Sigma Approach to Improve the Efficiency of Patient-Specific Quality Assurance in Proton Therapy
    Rah, J. E.
    Shin, D.
    Kim, T. H.
    Kim, G. Y.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : E538 - E539
  • [38] Quantitative analysis of patient-specific dosimetric IMRT verification
    Budgell, GJ
    Perrin, BA
    Mott, JHL
    Fairfoul, J
    Mackay, RI
    PHYSICS IN MEDICINE AND BIOLOGY, 2005, 50 (01): : 103 - 119
  • [40] Optimization framework for patient-specific modeling under uncertainty
    Mineroff, Joshua
    Pokuri, Balaji Sesha Sarath
    Ganapathysubramanian, Baskar
    Krishnamurthy, Adarsh
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2023, 39 (02)