English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 18034/20233 (89%)
造訪人次 : 23345838      線上人數 : 446
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/21929


    標題: Muscular Motion Tracking from 3D and 4D Ultrasonic Image Sequences
    作者: Yuh-Hwang Liu
    Chi-Yi Lin
    Shu-Min Chen
    Chou-Ching Lin
    Chung-I Huang
    Yung-Nien Sun
    貢獻者: 資訊管理系
    日期: 2008-07
    上傳時間: 2009-11-05 16:04:10 (UTC+8)
    摘要: The quantitative assessment of muscular motion is a fundamental evaluation for rehabilitation biomechanics. We propose two multi-feature block-matching-based (MFBM) tracking methodologies to estimate muscular motion for 3D (2D+t) and 4D (3D+t) ultrasonic image sequences respectively. The proposed MFBM based on image intensity, motion velocity, neighbor relativity and selected features with multilevel framework achieves accuracy and spatial adaptability. To quantify motion of borderless musculature from 4D image sequences, the end of fascia is chosen as target and tracked by multilevel MFBM with drift correction. The tolerance for tissue deformation at low frame rate is effectively increased in the 4D estimation. Although 4D motion evaluation can alleviate the out-of-plane problem in 3D tracking, 3D motion analysis is still commonly used in clinics as the 4D equipments are expensive and unpopular. In this paper, by referring to the most discriminative neighborhood, a multilevel MFBM with Kalman prediction is proposed to resolve the ambiguities caused by region homogeneity or insufficient local texture in 3D motion tracking. The accuracy in both methods is validated from in vivo musculoskeletal ultrasonic image sequences by comparing the results with the doctor-defined ground truth. This study can be applied to clinical diagnosis, such as sport injuries.
    關聯: The 16th International Conference on Mechanics in Medicine And Biology,起迄日:2008/7/23~2008/7/25,地點:Pittsburgh
    顯示於類別:[資訊管理系] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    97_132_pro.pdf406KbAdobe PDF280檢視/開啟


    在CNU IR中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋