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Development of geometric uncertainty assessment system for precise radiotherapy : 정밀 방사선치료를 위한 기하학적 불확실성 평가 시스템의 개발
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 예성준 | - |
dc.contributor.author | 김휘영 | - |
dc.date.accessioned | 2017-07-14T01:17:45Z | - |
dc.date.available | 2017-07-14T01:17:45Z | - |
dc.date.issued | 2016-08 | - |
dc.identifier.other | 000000136701 | - |
dc.identifier.uri | https://hdl.handle.net/10371/121810 | - |
dc.description | 학위논문 (박사)-- 서울대학교 대학원 : 협동과정 방사선응용생명과학전공, 2016. 8. 예성준. | - |
dc.description.abstract | During the radiotherapy, the precise delivery of a planned beam may be hindered by geometrical uncertainties of machine related errors and patient related errors. Those geometrical uncertainties can make the treatment beam miss the target volume and accidentally hit the healthy organs. Hence, consequently, the target volume receive less dose than therapeutic dose. Thus this results in lower tumor control and higher complication probability.
The purpose of this dissertation is to develop two individual systems to assess those geometric uncertainties. First, in order to assess machine related errors, a smartphone application for mechanical quality assurance (QA) of medical linear accelerators (LINAC) was developed. Second, in order to assess patient related motion errors, optical image-based motion tracking system using a stereo camera was developed. These systems were adopted to the clinic to test clinical feasibility following the accuracy and precision evaluation tests for each system. The geometric uncertainty assessment systems we developed can be used for the mechanical QA of medical accelerators and the evaluation of patients motion with proven accuracy and precision. Thus these systems have a strong potential of application in the clinic to provide precise radiotherapy by assessing geometrical uncertainties. | - |
dc.description.tableofcontents | General Introduction 1
Chapter I. Automated Mechanical Quality Assurance (AutoMQA) System for Medical Accelerators using Smartphone 8 Abstract 9 1. Introduction 11 2. Material and Methods 14 2.A. System description 14 2.B. Motion sensor signal processing module 18 2.C. Image processing module 23 2.D. System evaluation experiment 28 2.E. Clinical application: Monthly mechanical QA 31 3. Results 38 3.A. System accuracy and precision 38 3.B. Clinical application 41 4. Discussion 48 5. Conclusions 51 Chapter II. Real-time Optical Image-based Monitoring (ROIM) System for Radiotherapy 52 Abstract 53 1. Introduction 55 2. Material and Methods 59 2.A. System description 59 2.B. Infra-red stereo camera system 61 2.C. System evaluation 69 2.D. Clinical application: Extremity STS patients 72 3. Results 79 3.A. System evaluation 79 3.B. Clinical application 81 4. Discussion 95 5. Conclusions 99 General Discussion 100 Conclusions 102 References 103 Abstract (in Korean) 109 | - |
dc.format | application/pdf | - |
dc.format.extent | 3072402 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | 방사선치료 | - |
dc.subject | 기하학적 불확실성 | - |
dc.subject | 품질보증 | - |
dc.subject | 치료간 움직임 | - |
dc.subject | 치료내 움직임 | - |
dc.subject.ddc | 616 | - |
dc.title | Development of geometric uncertainty assessment system for precise radiotherapy | - |
dc.title.alternative | 정밀 방사선치료를 위한 기하학적 불확실성 평가 시스템의 개발 | - |
dc.type | Thesis | - |
dc.description.degree | Doctor | - |
dc.citation.pages | 111 | - |
dc.contributor.affiliation | 의과대학 협동과정 방사선응용생명과학전공 | - |
dc.date.awarded | 2016-08 | - |
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