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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 曹建和(Jenho Tsao) | |
dc.contributor.author | Chao-Wei Lai | en |
dc.contributor.author | 賴昭維 | zh_TW |
dc.date.accessioned | 2021-05-20T20:31:19Z | - |
dc.date.available | 2009-08-06 | |
dc.date.available | 2021-05-20T20:31:19Z | - |
dc.date.copyright | 2008-08-06 | |
dc.date.issued | 2008 | |
dc.date.submitted | 2008-07-31 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/9610 | - |
dc.description.abstract | 臨床醫學使用超音波影像來診斷肝臟疾病,很倚賴視覺所看到的特徵;然而這些特徵並沒有前後一致的定義。在本論文裏,幾種由Amadasun所提出的特徵被用來量化超音波影像中所看到的特徵。在量化這些特徵之前,會先利用「反掃描轉換」來降低因為超音波成像「數位掃描轉換」所帶來的影響;這個反掃描轉換必須考量特徵的性質而設定取樣頻率。本研究使用了300份海綿和肝臟的超音波影像來探討這些特徵,以及反向掃描轉換的必要性。本研究發現所使用的特徵必須根據所要觀察的組織特性,而Amadasun所提特徵中的「coarseness」和「busyness」正好可以反映fully developed speckle和肝臟組織的特性。 | zh_TW |
dc.description.abstract | The visual features are important in clinically diagnosing liver diseases with ultrasound image texture. However, there is no consistent definition of these features. In this study, several textural features proposed by Amadasun are adopted for quantifying the visual features of ultrasound image texture. To cope with the distortion caused by the digital scan conversion (DSC) in ultrasound imaging, a back-scan conversion (BSC) algorithm is applied to homogenize the sampling format and sampling rate of ultrasound image texture before measuring these features. The effectiveness of this measure is investigated using 300 ROI’s of sponge and liver images. It is confirmed that BSC is an important preprocessing step in quantifying these features of ultrasound image texture. By this measure, the visual features may be quantified. The results show that the use of the features is dependent on what is looking for; that is, the distinction between tissue echotexture and fully developed speckles should emphasize on the “coarseness” of the echotexture, while the one between normal liver and cirrhosis should emphasize on the spatial intensity variation (busyness). This study shows a correlation between the tissue and the ultrasound echotexture. | en |
dc.description.provenance | Made available in DSpace on 2021-05-20T20:31:19Z (GMT). No. of bitstreams: 1 ntu-97-D88921039-1.pdf: 900309 bytes, checksum: ce47e9244915fd6857dee66bc702e2e8 (MD5) Previous issue date: 2008 | en |
dc.description.tableofcontents | 口試委員審定書 i
誌謝 ii 中文摘要 iii ABSTRACT iv CHAPTER 1 INTRODUCTION 1 CHAPTER 2 CLINICAL DIAGNOSIS OF LIVER DISEASES BASED ON ULTRASOUND ECHOTEXTURE 6 2.1 Histology of the Liver 6 2.2 Pathophysiology of Liver Fibrosis 8 2.3 Correlation between Tissue and Echotexture 9 2.3.1 Echotexture of fully developed speckles 12 2.3.2 Echotexture of the liver 13 CHAPTER 3 FEATURE EXTRACTION FOR B-MODE ULTRASOUND ECHOTEXTURE OF THE LIVER 18 3.1 Perceptual Features for Ultrasound Liver Echotexture 18 3.2 Textural Features for Ultrasound Liver Echotexture 19 3.2.1 Coarseness 22 3.2.2 Contrast 24 3.2.3 Busyness 26 3.2.4 Complexity 28 3.3 Unifying the Sampling Rate 29 3.3.1 Sampling Format Unification 30 3.3.2 Sampling Rate Unification 33 CHAPTER 4 EXPERIMENTS & RESULTS 37 4.1 Material 37 4.2 Efficacy of Amadasun’s measure 38 4.3 Efficacy of the BSC 40 4.4 Separation between homogeneous echotexture and ultrasound liver texture 42 4.4.1 Coarseness 42 4.4.2 Contrast 44 4.4.3 Busyness 46 4.4.4 Complexity 47 4.5 Separation between ultrasound echotexture of normal cirrhotic liver 48 4.5.1 Coarseness 48 4.5.2 Contrast 50 4.5.3 Busyness 51 4.5.4 Complexity 53 4.6 Comparison of the features 54 CHAPTER 5 DISCUSSION AND CONCLUSION 57 REFERENCE 63 APPENDIX NEIGHBORHOOD GRAY-TONE DIFFERENCE MATRIX 68 | |
dc.language.iso | en | |
dc.title | 超音波影像紋理的視覺特徵量化與反掃描轉換 | zh_TW |
dc.title | Quantifying the Visual Features of Ultrasound Image Texture with Back-Scan Conversion | en |
dc.type | Thesis | |
dc.date.schoolyear | 96-2 | |
dc.description.degree | 博士 | |
dc.contributor.coadvisor | 楊培銘 | |
dc.contributor.oralexamcommittee | 陳中明,許金川,盧鴻興 | |
dc.subject.keyword | 反向掃描轉換,超音波影像紋理,視覺特徵的量化,肝臟,B-mode成像, | zh_TW |
dc.subject.keyword | back-scan conversion,ultrasound image texture,quantification of visual features,liver,B-mode imaging, | en |
dc.relation.page | 69 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2008-07-31 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
顯示於系所單位: | 電機工程學系 |
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