عنوان

Development of a Stand Alone Comprehensive Collision Prediction System for Modern Radiation Therapy

شماره

TL51244

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Development of a Stand Alone Comprehensive Collision Prediction System for Modern Radiation Therapy

نام عام مواد

[Thesis]

نام نخستين پديدآور

Islam, Naveed Mehdi

نام ساير پديدآوران

Podgorsak, Matthew B.

نام ناشر، پخش کننده و غيره

State University of New York at Buffalo

تاریخ نشرو بخش و غیره

2019

متن يادداشت

166 p.

جزئيات پايان نامه و نوع درجه آن

Ph.D.

کسي که مدرک را اعطا کرده

State University of New York at Buffalo

امتياز متن

2019

متن يادداشت

Purpose: Studies exploring the use of non-coplanar radiotherapy involving unconventional combinations of treatment couch and gantry orientations have demonstrated significant dosimetric benefits. However, clinical implementation of optimum non-coplanar radiotherapy has not become a routine practice mainly due to the absence of a comprehensive collision avoidance tool. Without such utility, during treatment delivery, the moving mechanical components of the Linear Accelerator (Linac) may collide with the patient, patient support system and treatment accessories. In this work, we developed and evaluated a stand-alone collision prediction system (CPS), which can fit in a typical clinical workflow. Methods: The CPS is based on a geometric model of the Linac and patient morphology acquired by a 3-D vision camera (Microsoft, Kinect). Physical dimensions of the mechanical components of the Linac (Varian TrueBeam) were quantified to construct a prototype geometric model with the isocentre as the origin of the co-ordinate system. Other components of the Linac model include the treatment couch, gantry, kV source, and both MV and kV imaging panels. A combination of contours from the planning CT and the 3-D depth data acquired with the Kinect camera were used to develop a patient specific model. The Linac couch coordinate was estimated based on a correspondence map between the CT couch top and the choice of the treatment isocenter coordinates. An algorithm that relies on a dot product between vectors denoting points in Linac components and patient morphology is used to predict collisions. Virtual collision test cases were calculated with our CPS and experimentally verified in the treatment room using an ArcCheck and Rando phantoms to simulate a patient. Results: For a set of 111 collision test cases, the sensitivity and specificity of the CPS model were calculated to be 0.95 and 1.00, respectively. Validation experiments demonstrate that the CPS consistently predicts collisions prior to actual collision locations. The average difference between the predicted and measured collision states was 2.3 cm for lateral couch movements. The predicted couch rotational position for a collision between the gantry and a patient analog differed from actual values on average by 3.8 degrees. An end to end testing simulating CPS usage during a typical clinical workflow had a prediction error on average by 3.4 degrees with a standard deviation of 1.3 degrees. Conclusion: This study outlines a framework for the development and clinical implementation of a solution to collision management challenges during clinical treatment planning. The CPS can be a valuable tool for treatment planners who seek to implement non-coplanar radiotherapy into routine clinical practice.

اصطلاح موضوعی

Applied physics

مستند نام اشخاص تاييد نشده

Islam, Naveed Mehdi

مستند نام اشخاص تاييد نشده

Podgorsak, Matthew B.

مستند نام تنالگان تاييد نشده

State University of New York at Buffalo

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y