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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 陳中明 | |
| dc.contributor.author | Yu-Tzu Lee | en |
| dc.contributor.author | 李毓慈 | zh_TW |
| dc.date.accessioned | 2021-06-15T02:27:00Z | - |
| dc.date.available | 2012-08-20 | |
| dc.date.copyright | 2009-08-20 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-08-17 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43728 | - |
| dc.description.abstract | 由於磁共振影像（magnetic resonance imaging, MRI）具有無輻射線（no radiation）、非侵入性（non-invasive）的優勢。近幾年，更發展成一種能動態取像的技術稱為「動態對比增強磁共振影像技術Dynamic contrast-enhanced magnetic resonance imaging, DCE-MRI」不僅具有原本形態(morphology)上影像資訊的提供也增加提供了功能性(functional)的輔助診斷，且可重複（reproducible）適用於測量的影像生化指標(imaging biomarker)。所以，目前於腫瘤的診斷上，DCE-MRI佔有一定的地位，並能幫助臨床醫師評估腫瘤的血管新生（tumor angiogenesis）、以及抗血管新生的藥物（anti-angiogenic agent）對腫瘤的療效的研究愈來愈多。
然而，時間序列的動態影像取得時間相較於傳統MRI影像時間多上的好幾倍，要請病人保持不動並持續同一種姿勢是不太容易的，且人體自然的呼吸、心跳與長時間病人的不耐受性突發的翻動都是無法完全性的避免，所以取得的每張影像都會有些許的變動位移、扭曲，造成臨床醫師在分析動態對比增強磁共振影像的藥物動力模型評估腫瘤血流量、組織狀況時造成診斷準確率的降低。所以，在臨床醫師進行藥物動力學模型分析前須先將具有時間序列的動態對比增強磁共振影像之形變進行影像對位校正。 本研究提出一個嶄新的非剛性自動影像對位演算法流程。利用最大強度投影(maximal intensity projection, MIP)將時間序列影像中像素強度最大的影像投影成一張影像，將DCE-MRI影像區分為兩大部分:第一為顯影劑不明顯流動區域之影像；第二為顯影劑明顯流動區域之影像。此方法可免於複雜影像組織分割時的冗長電腦計算時間與依賴不同藥物動力學模型的限制，只要分別依照各影像區域所提供資訊相互輔助進行非剛性影像對位校正影像形變之區域。 除此之外，將本研究提出的影像對位演算法流程進行設計假體、差分影像、棋盤影像、商業軟體(Mistar)、目測法於效能評估與分析章節中進行影像對位結果之驗證，且由實驗各種影像對位演算法結果相比較下，本研究所提出之影像對位演算法流程可以有效地解決影像形變的校正，降低病人身心理因素導致影像形變的干擾，以增加臨床醫師於影像資訊分析上的準確性與疾病的正確診斷率。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2021-06-15T02:27:00Z (GMT). No. of bitstreams: 1 ntu-98-R96548030-1.pdf: 7919304 bytes, checksum: ce06aad70053818c4cd6176abc85b2c9 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 誌謝 i
中文摘要 ii Abstract iv 目錄 vi 圖目錄 viii 表目錄 x 第一章 緒論 1 1.1 研究背景 1 1.2 文獻回顧 2 1.3 研究動機 3 1.4 研究目的 4 1.5資料來源 5 1.6 論文架構 5 第二章 影像原理 6 2.1動態對比增強磁共振影像 6 2.2 腫瘤血管新生 6 2.3 藥物動力模型 8 2.4影像應用 17 第三章 醫學影像對位 19 3.1 前言 19 3.2 概念 19 3.3影像對位的組成 21 3.3.1相似度的量測(Similarity Measure) 21 3.3.2轉換模型(Transformation model) 25 3.3.3最佳化(Optimization) 31 第四章 研究流程與方法 33 4.1 前言 33 4.2影像前處理 34 4.2.1參考影像 34 4.2.2影像分割演算法 35 4.3顯影劑不明顯流動區域之影像對位 38 4.3.1影像相似度量測 38 4.3.2非剛性空間轉換模型 42 4.4顯影劑明顯流動區域之影像對位 44 4.4.1影像特徵點的選取 45 4.4.2建立空間轉換模型 48 4.5效能評估與分析 51 4.5.1設計假體(designed phantom) 51 4.5.2差分影像(different image)、棋盤影像(check board) 53 4.5.3商業軟體Mistar 54 4.5.4目測法(visual inspection) 54 第五章 結果與討論 55 5.1 實驗影像資訊 55 5.2 實驗結果 56 5.2.1 動態對比增強磁振影像對位結果 56 5.2.2 演算法之效能評估與分析 63 5.3 實驗討論 82 第六章 結論與未來展望 84 6.1 結論 84 6.2 未來展望 85 參考文獻 86 附錄 95 (A). Optical Flow Constraint Equation 95 | |
| dc.language.iso | zh-TW | |
| dc.subject | 最大強度投影 | zh_TW |
| dc.subject | 動態對比增強磁共振影像技術 | zh_TW |
| dc.subject | 影像對位 | zh_TW |
| dc.subject | 非剛性 | zh_TW |
| dc.subject | image registration | en |
| dc.subject | maximal intensity projection | en |
| dc.subject | non-rigid | en |
| dc.subject | Dynamic contrast enhanced MRI | en |
| dc.title | 非剛性對位法修正乳房動態對比增強磁共振影像形變之研究 | zh_TW |
| dc.title | Non-rigid Registration of Breast DCE-MRI for Motion Artifact Correction | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張允中,許志宇 | |
| dc.subject.keyword | 動態對比增強磁共振影像技術,影像對位,非剛性,最大強度投影, | zh_TW |
| dc.subject.keyword | Dynamic contrast enhanced MRI,image registration,non-rigid,maximal intensity projection, | en |
| dc.relation.page | 95 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-08-17 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 醫學工程學研究所 | zh_TW |
| Appears in Collections: | 醫學工程學研究所 | |
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| ntu-98-1.pdf Restricted Access | 7.73 MB | Adobe PDF |
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