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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳中明(Chung-Ming Chen) | |
dc.contributor.author | Yu-Chun Chien | en |
dc.contributor.author | 簡鈺峻 | zh_TW |
dc.date.accessioned | 2021-06-08T06:00:22Z | - |
dc.date.copyright | 2011-09-19 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-08-08 | |
dc.identifier.citation | [1] 行政院衛生署統計資料網,網址: http://www.doh.gov.tw/statistic/index.htm
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25019 | - |
dc.description.abstract | 根據世界衛生組織(WHO)統計,全世界每年約有一百二十萬人被診斷罹患乳癌,乳癌在近十年來已位居於台灣女性惡性腫瘤死因第四位且發生率有逐年升高之趨勢,唯有早期發現與診斷與完善的治療監控才能降低乳癌對於女性的威脅,但目前臨床上尚未發展出一有效評估化療反應之工具。
本研究著重發展一套定量型雙波段乳癌診斷系統(Quantitative Dual-Spectrum Infrared system, QDS-IR system)做為監控並評估化療療效之工具。系統主要由無標記點多時間點紅外線影像對位演算法、時間序列熱影像溫度正規化演算法與雙波段熱圖譜分離演算法所組成。首先將多時間影像序列進行時間軸的影像對位,無標記點多時間點影像對位目的是為了觀察多時間點紅外線影像中熱圖譜的改變並且用來監控腫瘤隨化學治療的反應與療效。多時間點影像對位是建立隨著化療不同時間點的雙波段紅外線影像間對應像素點之間的相互關係。再結合本研究所提出的時間序列溫度正規化演算法進行溫度校正,將受到內外在因素影響的雙波段時間序列影像整體溫度調整回同一基準水平。接著本研究團隊提出雙波段熱圖譜分離(Dual-Spectrum Heat Pattern Separation, DS-HPS)演算法,利用其正規化雙波段紅外線影像資訊來計算出每個時間點的高溫組織區(Nq_H map)與基礎體溫組織區以進行量化分析。並觀察化療過程中腫瘤病理的改變與Nq_H量化結果的相互關係。 為了證明定量型雙波段紅外線系統結果的成效,本研究採臨床動態對比顯影核磁共振影像(DCE-MRI)提供之解剖性影像與正子斷層掃描(PET)提供之功能性影像,來驗證化療過程中腫瘤病理的改變與Nq_H值的相互關係。初步研究結果顯示正規化高溫組織平均能量的變化與核磁共振影像上顯影的區域有某種程度之相關性,並與正子斷層掃描半定量分析值所分析呈現的葡萄醣代謝變化有相當的吻合度。因此認為本研究提出之定量型雙波段紅外線系統可有效的偵測乳癌高溫組織的改變量,可藉此初步有效的監控追蹤和評估乳癌病患的化療成效。 | zh_TW |
dc.description.abstract | Breast cancer statistics show that over 1.2 million persons will be diagnosed with breast cancer worldwide this year, according to the World Health Organization. Breast cancer has been ranked the fourth leading cause of cancer deaths for females in Taiwan for more than a decade and the incidence ration is trending up year by year. The only two approaches reducing menace of breast cancer to females in Taiwan are detecting breast cancer early and monitoring the effect of chemotherapy completely. However, here are not any methods achieving the goals effectively.This thesis proposed a quantitative dual-spectrum infrared system (QDS-IR) to Monitor of tumor growth or treatment response of chemotherapy. The system consist of three major algorithms, namely, the marker-free longitudinal IR image registration algorithm, the longitudinal temperature normalization algorithm , and the quantitative dual-spectrum heat pattern separation (QDS-HPS) algorithm. The first one the goal of a marker-free longitudinal image registration is to observe the change of the heat pattern for treatment response monitoring of chemotherapy, which is developed to establish the pixel-by-pixel correspondence for the QDS-IR spectrogram images taken along the courses of chemotherapy. The second one the thesis combined with longitudinal temperature normalization algorithm is to calibrate the temperature of Infrared Image Sequences to the same baseline level, which is developed to minimize the influences of the physiological and environmental factors.The third one quantifying the change of the heat pattern, a dual-spectrum heat pattern separation (DS-HPS) algorithm is developed to separate the tissue area of high temperature from that of normal temperature in both of the normalized MIR and normalized LIR images. In addition, compare the result with the clinical report to monitor of tumor growth or treatment response of chemotherapy.In order to prove the effectiveness of the Quantitative Dual-Spectrum Infrared system, comparing with the performances of mammograms, breast sonography, breast MRI and PET as well as to understand the functional and anatomic information revealed by the NqH map via the comparative study. The preliminary results showed that the information revealed by the QDS-IR spectrogram in accordance with that by MRI and positron emission tomography analysis of semi-quantitative value of tumor glucose metabolism. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T06:00:22Z (GMT). No. of bitstreams: 1 ntu-100-R98548030-1.pdf: 14150532 bytes, checksum: 6a06d11dca9c472e8f7b6af1729dc1d7 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | 謝誌 I
摘要 II Abstract III 目錄 V 圖目錄 VIII 表目錄 XIV 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 4 1.3 文獻回顧 6 1.3.1 紅外線的應用 6 1.3.2 紅外線在乳癌偵測研究 7 1.3.3 紅外線在乳癌之化學治療 10 1.4 研究目的 11 1.5 研究架構 13 第二章 基礎理論 14 2.1 乳癌的成因與分類之學理、診斷、分期與治療 14 2.1.1 乳癌之生成 14 2.1.2 乳癌病理分類 15 2.1.3 乳癌分期系統 17 2.1.4 乳癌之治療 18 2.2 現行的乳癌檢查方法 21 2.2.1 乳房X光攝影(Mammography) 21 2.2.2 乳房超音波(Ultrasound) 24 2.2.3 核磁共振造影(Magnetic Resonance Imaging,MRI) 26 2.2.4 正子斷層掃描(Positron Emission Tomography,PET) 29 2.3 紅外線基礎理論 33 2.3.1 紅外線光譜與熱造影概論 33 2.3.2 熱輻射理論 35 2.4 雙波段紅外線影像原理 39 2.5 熱影像溫度正規化之人體溫度傳導模型 42 第三章 研究材料與方法 44 3.1 研究材料 44 3.1.1 臨床試驗收案流程 45 3.1.2 定量型雙波段紅外線系統臨床試驗拍攝流程 47 3.2 系統硬體設計與架構 49 3.3 軟體架構分析方法 53 3.3.1 影像對位 55 3.3.2 熱影像溫度正規化演算法 59 3.3.3 雙波段熱圖譜分離演算法 70 3.3.4 曲面多平面重組(curved MPR) 72 3.3.5 QDSIR量化指標 72 3.3.6 PET 量化指標SUV 與TLG 72 第四章 研究成果與討論 75 4.1 紅外線影像對位結果與驗證 75 4.1.1 無標記點之時間序列影像對位結果 75 4.1.2 紅外線影像對位結果驗證 77 4.2 溫度正規化演算法結果 79 4.2.1 溫度正規化演算法結果評估與討論 79 4.2.2 溫度正規化演算法結果驗證與共同特徵關聯區域討論 91 4.3 QDS-IR與臨床檢測工具之化療治療反應效能評估討論 97 4.3.1 DS-HPS演算法結果與討論 97 4.3.2 QDS-IR與PET量化結果之化療反應評估與討論 110 4.3.3 QDS-IR與DCE-MRI之化療反應評估與關聯性討論 123 第五章 結論與未來展望 130 5.1 結論 130 5.2 未來展望 132 參考文獻 133 附錄A. 臨床試驗受試者說明及同意書 144 附錄B 化療受試者溫度正規化結果比較 150 附錄C. DS-HPS演算法分析結果 158 附錄D. DCE-MRI curved MPR影像 166 附錄E. DCE-MRI curved MPR之最大顯影影像 173 | |
dc.language.iso | zh-TW | |
dc.title | 定量型雙波段紅外線乳癌診斷系統:與動態對比顯影磁振造影和正子斷層造影於乳癌化療反應效能監控成效上之比較 | zh_TW |
dc.title | Quantitative Dual-Spectrum Infrared System : Performance Comparisons with DCE-MRI and PET on Chemotherapy Response Monitoring of Breast Cancers | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 曾凱元,黃俊升,張允中,江惠華 | |
dc.subject.keyword | 乳癌,化學治療,雙波段紅外線影像,溫度正規化,影像對位, | zh_TW |
dc.subject.keyword | Breast cancer,Chemotherapy,Dual-Spectrum infrared,Normalization,Image registration., | en |
dc.relation.page | 181 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2011-08-08 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 醫學工程學研究所 | zh_TW |
顯示於系所單位: | 醫學工程學研究所 |
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