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調(diào)強放療中計算機應(yīng)用技術(shù)研究

調(diào)強放療中計算機應(yīng)用技術(shù)研究

作者：蘭義華
出版社：電子工業(yè)出版社出版時間：2022-12-01
開本： 其他 頁數(shù)： 212
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調(diào)強放療中計算機應(yīng)用技術(shù)研究 版權(quán)信息

調(diào)強放療中計算機應(yīng)用技術(shù)研究 本書特色

計算機應(yīng)用技術(shù) 調(diào)強放療 劑量計算 放療計劃系統(tǒng) 調(diào)強規(guī)劃模型 放射生物學(xué)模型 自動勾畫 凸優(yōu)化求解 劑量驗證

調(diào)強放療中計算機應(yīng)用技術(shù)研究 內(nèi)容簡介

本書從調(diào)強放療的步驟入手，概括介紹常用的放療設(shè)備、照射方式、放療目的、放療的生物學(xué)原理等；重點介紹調(diào)強放療中的計算機應(yīng)用技術(shù)，涉及劑量計算模型、放療計劃系統(tǒng)中的可行性問題，以及線性和非線性規(guī)劃模型、放射生物學(xué)模型、帶有劑量體積約束的規(guī)劃模型、多目標規(guī)劃模型、照射角度選擇優(yōu)化模型等。此外，本書對通量圖的生成和調(diào)制、基于機器跳數(shù)的平滑方法和雙向葉片運動通量圖平滑模型等進行研究；討論自動勾畫的意義、需求和定義等，介紹閾值分割算法、區(qū)域分割算法、分水嶺分割算法和馬爾可夫隨機場分割算法等常見的圖像分割算法，重點介紹一種加入?yún)^(qū)域信息的測地線活動輪廓模型、一種改進的V-Net 模型和一種基于等效生物劑量和硬件約束的一體化逆向計劃模型，并介紹凸優(yōu)化求解和劑量驗證等。本書介紹的內(nèi)容涉及面廣，有助于讀者了解調(diào)強放療中的計算機應(yīng)用技術(shù)，適合作為高等學(xué)校醫(yī)學(xué)影像處理相關(guān)專業(yè)研究生和高年級本科生的教材，也適合相關(guān)科研人員和對調(diào)強放療技術(shù)感興趣的讀者閱讀。

調(diào)強放療中計算機應(yīng)用技術(shù)研究 目錄

第1 章 引言······················································································1
1.1 研究背景及意義······································································1
1.1.1 癌癥的嚴重危害·····························································1
1.1.2 癌癥的治療方法·····························································3
1.1.3 放療對于癌癥治療的貢獻················································4
1.1.4 放療技術(shù)發(fā)展的巨大潛力················································5
1.2 放療技術(shù)的發(fā)展歷史································································8
1.2.1 初級放療時代································································8
1.2.2 常規(guī)放療時代································································9
1.2.3 精準放療時代································································9
1.2.4 小結(jié)·········································································.10
1.3 計算機應(yīng)用技術(shù)對調(diào)強放療技術(shù)的支撐作用·······························.11
第2 章 放療中的硬件及放療計劃系統(tǒng)·················································.13
2.1 放療的分類·········································································.13
2.1.1 基本概念···································································.13
2.1.2 放療設(shè)備···································································.17
2.1.3 照射方式···································································.28
2.1.4 放療目的···································································.32
2.1.5 放療手段和技術(shù)··························································.33
2.1.6 劑量分割方式·····························································.37
2.2 放療的生物學(xué)原理································································.38
2.3 調(diào)強放療的步驟···································································.40
2.4 調(diào)強放療中的射線調(diào)制設(shè)備····················································.43
2.5 逆向計劃系統(tǒng)······································································.45
第3 章 調(diào)強放療中的規(guī)劃問題···························································.48
3.1 正向調(diào)強規(guī)劃和逆向調(diào)強規(guī)劃·················································.48
3.1.1 正向調(diào)強規(guī)劃·····························································.48
3.1.2 逆向調(diào)強規(guī)劃·····························································.49
3.2 調(diào)強放療中的數(shù)學(xué)優(yōu)化問題····················································.49
3.3 劑量計算模型和相關(guān)描述·······················································.50
3.4 放療計劃系統(tǒng)中的可行性問題·················································.51
3.5 調(diào)強放療中的規(guī)劃模型··························································.51
3.5.1 線性和非線性規(guī)劃模型················································.51
3.5.2 放射生物學(xué)模型··························································.53
3.5.3 劑量體積約束模型·······················································.56
3.5.4 劑量體積約束優(yōu)化問題················································.60
3.5.5 規(guī)范化距離信息排序···················································.63
3.5.6 混合整數(shù)規(guī)劃模型·······················································.68
3.5.7 多目標規(guī)劃模型··························································.69
3.5.8 照射角度選擇優(yōu)化模型················································.72
第4 章 通量圖的平滑方法·································································.75
4.1 通量圖的生成和調(diào)制·····························································.75
4.2 通量圖的平滑······································································.78
4.3 圖像去噪原理······································································.79
4.4 基于機器跳數(shù)的平滑方法·······················································.83
4.4.1 基于圖像處理的平滑方法存在的問題······························.83
4.4.2 基于多葉準直器的靜態(tài)調(diào)強放療的劑量調(diào)制過程···············.84
4.4.3 無葉片碰撞約束的模型················································.87
4.4.4 后驅(qū)葉片同步約束模型················································.88
4.4.5 前驅(qū)葉片同步約束模型················································.90
4.4.6 前后葉片中心時長同步模型··········································.91
4.4.7 舌槽欠劑量效應(yīng)的直接約束··········································.94
4.4.8 帶葉片碰撞約束的模型················································.95
4.5 雙向葉片運動通量圖平滑模型·················································.96
4.5.1 雙向葉片運動通量圖平滑模型介紹·································.96
4.5.2 實驗及結(jié)果分析······················································
展開全部

調(diào)強放療中計算機應(yīng)用技術(shù)研究 作者簡介

蘭義華，南陽師范學(xué)院計算機與信息技術(shù)學(xué)院副教授，博士，博士后。2011年12月博士畢業(yè)于華中科技大學(xué)計算機應(yīng)用技術(shù)專業(yè)，2017年11月從華中科技大學(xué)軟件工程博士后流動站出站。河南省重點學(xué)科計算機應(yīng)用學(xué)科帶頭人，河南省教育廳學(xué)術(shù)技術(shù)帶頭人，南陽市學(xué)術(shù)技術(shù)帶頭人，南陽師范學(xué)院"臥龍學(xué)者”特聘研究員崗位入選者，計算機學(xué)會高級會員。

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