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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳中明 | |
dc.contributor.author | Wei-Zong Chen | en |
dc.contributor.author | 陳暐宗 | zh_TW |
dc.date.accessioned | 2021-06-08T01:00:44Z | - |
dc.date.copyright | 2015-02-04 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-12-08 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18345 | - |
dc.description.abstract | 根據美國感染病學會統計,每年皮膚與軟組織感染可導致600多萬次的門診量,由於皮膚傷口被金黃色葡萄球菌(Multiple-resistant Staphylococcus aureus,MRSA)感染的關係,皮膚與軟組織感染的發病率會有顯著的增加,目前的急診就診患者是1995年有120萬人次至2005年有340萬人次的三倍,並且逐年增加。當皮膚因外力造成缺損,細菌就會由此路徑侵入,進一步引起發炎反應,依侵犯的深度會引起不同的疾病,由淺層的丹毒、膿皰疹,至深層蜂窩性組織炎、骨髓炎等;其中以蜂窩性組織炎發生率最高,它是一種急性且擴散性細菌性感染的發炎反應,發生率依歐美的統計約每年 2 ~ 32.5/1000 人。而這些皮膚軟組織感染最常發生於下肢,其中男性的比率較高,隨著年紀的增長,發生率也會有增加的趨勢。
本研究著重發展一套數位紅外線熱影像,用於複雜性軟組織感染的治療反應評估之工具。研究中包含單時間點(cross-section times)紅外線影像對位與多時間(longitudinal times)序列熱影像溫度正規化演算法作為反應評估,並與共振造影對照評估結果。 首先將單時間影像序列,利用尺度不變特徵轉換(scale invariant feature transform)進行影像對位,目的是為了讓手持式紅外線熱像儀所產生的影像具有一定的品質,進而減少多時間點紅外線影像正規化的誤差,接著多時間點紅外線影像中選取區域做正規化時間軸的影像,且評估患處的趨勢圖,作為評估的標準。而在磁振造影的部分,將患處的區域擷取出來,並找到其趨勢關係,最後觀察紅外線影像的評估與磁振造影的趨勢之相互關係,可以看到在紅外線熱影像以及磁振造影的趨勢線皆有明顯的下降趨勢,進而證明紅外線影像的可靠性,並輔助醫師治療診斷的評估。 | zh_TW |
dc.description.abstract | According to the statistics of Infectious Disease Society of America, skin and soft tissue infections will lead to more than 6 million outpatients every year. Due to Multiple-resistant Staphylococcus aureus, the incidence of skin and soft tissue infections increase significantly. The current patients of emergency department are three times of the patients between 1995 (1.2 millions) and 2005 (3.4 millions) and increase year by year. When the skin damaged by external forces, bacteria will invade into body via the wounds and further cause inflammation. According to the invade depth, they will lead to different disease that are superficial erysipelas and pustular eruption and underlying cellulitis and osteomyelitis. The cellulitis has the highest incidence. It is an acute and diffusive inflammation of bacterial infection. The incidence is about 2 ~ 32.5/1000 individuals according to the statistics in Europe and America. The skin soft tissue infections occur mostly in the lower limbs and the incidence in male is higher. As the age increases, the incidence shows increasing trend.
In this study, it is focusing on the development of a digital infrared thermal imaging set and the application as an assessment tool for complex soft tissue infection therapy response. The infrared image registration of cross-section times and the normalized algorithm of thermal image sequence temperatures of longitudinal times are used as the assessments for the responses and compared with the assessment results of the resonance angiography in this study. First, the cross-section times image sequence is proceeded for image registration by using scale invariant feature transform. The purpose is to allow the images generated by portable infrared thermal image with certain qualities and to further reduce the thermal image normalization errors of images recorded with longitudinal times. Then, to select the areas from longitudinal infrared images for image normalization of time axis and for assessing the trend of the affected areas as the assessment standard. As far as the magnetic resonance imaging, to capture the affected areas and to find the relationship between trends. Finally, to observe the relationship between the assessment of infrared images and the trend of magnetic resonance imaging for further proving the reliability of the infrared images as well as the assessment of the aids for physician treatment and diagnosis. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T01:00:44Z (GMT). No. of bitstreams: 1 ntu-103-R01548037-1.pdf: 5337121 bytes, checksum: 7620014cb5ec1ec2d9595d301f18294a (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 摘要 I
Abstract III 目錄 V 圖目錄 VII 表目錄 IX 第一章 緒論 1 1.1 研究背景 1 1.2研究動機 3 1.3 文獻回顧 5 1.3.1 紅外線的應用 5 1.3.2 紅外線熱影像在複雜性軟組織研究 6 1.3.3 紅外線熱影像溫度正規化 7 1.3.4 影像對位 8 1.3.5 影像型變 9 1.4 研究目的 11 1.5 研究架構 12 第二章 基礎理論 13 2.1 複雜性軟組織感染的成因與分類之學理、診斷與治療 13 2.1.1 複雜性軟組織感染之生成 13 2.1.2 複雜性軟組織感染的病理分類 13 2.2 現行的複雜性軟組織感染檢查及治療方法 15 2.2.3 磁振造影(Magnetic Resonance Imaging,MRI) 18 2.3 紅外線基礎理論 21 2.3.1 紅外線光譜與熱造影概論 21 2.3.2 熱輻射理論 23 第三章 研究材料及方法 27 3.1 研究材料 27 3.1.1 臨床試驗收案流程 27 3.1.2 手持式遠紅外線熱像儀拍照流程 28 3.2 系統硬體設計與架構 29 3.3 軟體架構分析方法 31 3.3.1影像強化 33 3.3.2 單時間點影像對位 38 3.3.2 多時間熱影像溫度正規化估計 43 3.3.3 量化分析 48 3.3.4 治療反應評估 49 3.3.5 磁振造影的影像 52 第四章 研究成果與討論 57 4.1 紅外線影像對位結果與驗證 57 4.1.1 單時間序列影像對位結果 57 4.2 溫度正規化演算法結果 58 4.2.1 溫度正規化演算法結果評估與討論 58 第五章 結論與未來展望 75 5.1 結論 75 5.2 未來展望 76 參考文獻 77 附錄. 臨床試驗受試者說明及同意書 86 | |
dc.language.iso | zh-TW | |
dc.title | 數位紅外線熱影像於複雜性軟組織感染的治療反應評估 | zh_TW |
dc.title | Using digital infrared thermal image for the treatment response of skin and soft tissue infection Estimation | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李佳燕,鄭國順,盤松青,施翔蓉 | |
dc.subject.keyword | 皮膚和軟組織感染,影像對位,溫度正規化,磁振造影, | zh_TW |
dc.subject.keyword | skin and soft tissue infections,image registration,temperature normalization,magnetic resonance imaging, | en |
dc.relation.page | 93 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2014-12-09 | |
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 |
文件中的檔案:
檔案 | 大小 | 格式 | |
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ntu-103-1.pdf 目前未授權公開取用 | 5.21 MB | Adobe PDF |
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