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Motion tracking of local myocardial tissue using DP tracking method on M-mode echocardiogram
http://hdl.handle.net/10076/12516
http://hdl.handle.net/10076/125165eda02b4-211c-48dc-ab84-a7fb9b8bc8a4
| 名前 / ファイル | ライセンス | アクション |
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2009M252.pdf (11.3 MB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
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| 公開日 | 2013-06-11 | |||||||
| タイトル | ||||||||
| タイトル | Motion tracking of local myocardial tissue using DP tracking method on M-mode echocardiogram | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||||
| 資源タイプ | thesis | |||||||
| 著者 |
Chen, Chao
× Chen, Chao
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Today, cardiovascular diseases have been the second cause of Japanese's death, which result in about 160,000 persons' death every year. Moreover, the diseases of strokes in circulatory organ result in about 30 percents of the total. Due to heart's constancy of pulsation, it is necessary to use high temporal resolution equipments to diagnose the diseases. In the early stages of cardiovascular diseases, symptom is shown in interior of the myocardium, and the entirety of myocardium tends to be enlarged with the progress of symptom. The process of motion, includes two kinds of motion which include pulsation and the motion of displacement with in myocardium layer. Therefore, separation of these two motions is required for evaluation of the functions of the local myocardium. Ultrasonic diagnostic equipment is widely used to diagnose fast moving heart on high temporal resolution. By using ultrasonic diagnostic equipment in the performance diagnostics of the heart, the analysis mainly relies on visual inspection or manual measurements by experiened doctors from echocardiogram which is displayed on display. These manual methods are tedious and time consuming, and visual assessment leads to qualtative and subjective diagnoses that suffer from a considerable inter-and intra-observer variablity. Therefore, and automated computer-based analysis is highly desirable to obtain more objective and quantitative diagnoses. The purpose of this research is to do motion tracking on left ventricular cardiac muscle automatically using echocardiogram with high temporal resolution. M-mode echocardiogram is widely used in clinics to measure diagnostic indexes like thickening and thinning of myocardial muscle layers. Several approaches have been proposed to quantify the motion of myocardium from two dimensional (2-D) echocardiograms [1,2,3,4]. However, in these approaches, the spacial and temporal resolutions of quantification and tracking of myocardial motion are strongly depends on those of imaging performance of ultrasonic equipment. Particularly, echocardiograms employ low-pass filters on ultrasonic signals in the image generation process. Consequently, the spatial resolution of images becomes low and insufficient for detailed diagnosis of local, inner myocardial tissues. To enable quantitative evaluation of tissue's kinetic performance on inner myocardial, accurate and suitable tracking of myocardium in high spatial resolution is required. To overcome this low temporal resolution problem, several approaches employ raw ultrasonic signal from which echocardiograms are generated [5,6,7,8,9,10]. In this research, we propose a novel approach to track local (inner wall) myocardium. The proposed approach employs M-mode ultrasonic Doppler signal for velocity estimation and Dynamic Programming (DP) based motion tracking method. We employ two experiments to estimate the motion tracking using proposed method and three previous methods. One is the visual comparison, the other one is the quantitative evaluation. Either from visual comarison or quantitative evaluation, it clearly observed that the average error of proposed method is the least one in the results of four methods. In this thesis, Chapter 1 describes my research background and objective, and Chapter 2 starts the related technology of present study. The proposed method is described in Chapter 3 in detail. Chapter 4 describes experiments and quantitative evaluation. In the last Chapter, a conclusion is described. | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 三重大学大学院工学研究科博士前期課程情報工学専攻 | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 3, 29 | |||||||
| 書誌情報 |
発行日 2010-01-01 |
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| フォーマット | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | application/pdf | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
| 出版者 | ||||||||
| 出版者 | 三重大学 | |||||||
| 修士論文指導教員 | ||||||||
| 寄与者識別子Scheme | WEKO | |||||||
| 寄与者識別子 | 22376 | |||||||
| 姓名 | 木村, 文隆 | |||||||
| 言語 | ja | |||||||
| 資源タイプ（三重大） | ||||||||
| Master's Thesis / 修士論文 | ||||||||
