研究生: |
王甫安 Wang, Fu-An |
---|---|
論文名稱: |
基於網路架構之TW骨齡評分系統 A Web-Based TW Scoring System for Bone Age Assessment |
指導教授: |
鐘太郎
Jong, Tai-Lang |
口試委員: |
黃裕煒
Huang, Yue-Wei 謝奇文 Hsieh, Chi-Wen 鐘太郎 Jong, Tai-Lang |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 中文 |
論文頁數: | 43 |
中文關鍵詞: | 骨齡評估 、PHP 、MySQL 、網路應用 、Tanner-Whitehouse method |
外文關鍵詞: | bone age evaluation, PHP, MySQL, web application, Tanner-Whitehouse method |
相關次數: | 點閱:2 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在成長中的兒童,要了解其發育情形是否正常,可以從骨骼的生長狀況來得知。使用骨齡來判斷評估每個人的生長發育狀況跟成熟程度,除了可以得知兒童的生長發育是否正常,還可以預測兒童成年時的身高,而且對於一般兒科的內分泌診斷也有很大的幫助。
一般在臨床醫學上,評估骨齡的方法中,最廣為大家使用的是Greulich- Pyle (GP法)跟Tanner-Whitehouse (TW2/TW3法)。GP法是由專業的醫師,將手骨的原始X光片影像與GP資料庫中的手骨X光片影像一一作比對,其結果較易受醫生主觀的影響。而TW3法是只取左手的手骨X光片影像,並選擇其中的二十塊骨頭來逐一進行評分,其結果較為客觀,但因所需評分的骨頭較多,所以過程較繁瑣耗時。本篇論文的目的在於把Tanner-Whitehouse (TW3法)骨齡評分法結合 web-based的概念,整合在一個完整的系統中,而藉由PHP以及MySQL來當成主要開發的工具,實現由客戶端便能輕易的連結上遠端的資料庫來進行手骨X光影像的TW3評分,以加快TW3評分法的速度以及便利性。最後本系統結合了其他相似系統的優點,而且補強了它們的缺點,讓TW骨齡評分系統的介面更加友善,對於TW法評分的效率也更高。
The development of growing children can be known due to the skeletal growth. We can not only assess the potential on growth of height but also early diagnose the specific disease by using bone age.
The most common methods used for bone age evaluation are GP method and TW3 method. The GP method is based on a general comparison with standards of the atlas standards but its result will be influenced by different physicians. TW method makes detailed analyses of twenty individual bones and scores each bone. Although the result of TW method won’t be easily-affected by different physicians, its procedure is more time-consuming. The thesis proposes the TW3 method combined with web-based TW3 scoring system implemented in PHP and MySQL environment. The user can score the radiograms on client devices and then transferring the radiograms and scores to the server for further analysis. To improve the efficiency of system and make the interface more convenient, the thesis combines the advantages of other similar scoring systems and modifies their shortages to achieve a more efficient web-based TW3 system.
[1] W. W. Greulich and S. I. Pyle, Radiographic Atlas of Skeletal Development of the Hand and Wrist, 2nd edition. Stanford, CA: Stanford University Press, 1959.
[2] J. M. Tanner, R. H. Whitehouse, W. A. Marshall, et al., Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method). New York: Academic Press, 1975.
[3] C. M. Tiu, T. C. Liu, C. W. Hsieh, D. M. Niu, J. D. Chen and T. L. Jong, “Turner’s Syndrome Phalangeal Screening Based on A Two-Stage Linear Regression Concept,” Pediatrics International (2009) 51, 453–459, Oct. 2009.
[4] Bolboaca S, Jäntschi L, Achimas Cadariu A. PHP and MySQL Medical Application Based on Tanner Whitehouse Standard. In: Proceeding of the UNITECH'03 International Scientific Conference Volume 2003; 1:304-308.
[5] G. R. Milner, R. K. Levick and R. Kay, “Assessment Of Bone Ages: A Comparison Of The Greulich and Pyle, and The Tanner and Whitehouse Methods”, Clin Radiol, Vol.37,pp.119-212, 1986
[6] Mahmoodi S, Sharif BS, Chester EG, Owen JP, Lee R (2000) Skeletal growth estimation using radiographic image processing and analysis. IEEE T Inf Technol Biomed 4: 292-297.
[7] Mahmoodi S, Sharif BS, Chester EG, Owen JP, Lee R (1997) Automated vision system for skeletal age assessment using knowledge based techniques. IPA97 2:809-813.
[8] Michael DJ, Nelson AC (1989) HANDX: a model-based system for automatic segmentation of bones from digital hand radiographs. IEEE Trans Med Imag 8 (1):64-69.
[9] Hsieh CW, Jong TL, Chou YH, Tiu CM (2007) Computerized carpal bone geometric feature for bone age estimation. Chin Med J (Accepted in Nov., 2006)
[10] Fan BC, Hsieh CW, Jong TL, Tiu CM (2001) Automatic bone age estimation based on carpal bone images─a preliminary report. Chin Med J 64: 203-208.
[11] Pietka E, Gertych A, Pospiech S, Cao F, Huang HK, Gilsanz V (2001) Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction. IEEE T Med Imag 20:715-729.
[12] Pietka E, Pospiech S, Gertych A, Cao F, Huang HK, Gilsanz V (2001) Computer automated approach to the extraction of epiphyseal regions in hand radiographs. J Digit Imag 14:165-172.
[13] Pietka E, McNitt-Gray MF, Kuo ML, Huang HK (1991) Computer-assisted phalangeal analysis in skeletal age assessment. IEEE T Med Imag 10: 44-49.
[14] Pietka E, Huang HK (1995) Epiphyseal fusion assessment based on wavelets decomposition analysis. Comp Med Imag Graph 19(6): 465-472.
[15] Hsieh CW, Jong TL, Tiu CM (2007) Bone age estimation based on phalangeal information with fuzzy constrain of carpals. Med Bio Eng Com (Accepted in Dec., 2006)
[16] J.M. Tanner, H. Goldstein, N. Cameron, W.B. Saunders and M.J.R. Healy, Assessment of skeletal maturity and prediction of adult height. (third ed.), WB Saunders (2001).
[17] PHP (web site): http://www.php.net
[18] MySQL (web site): http://www.mysql.com
[19] 邹诚实 and 岑婷, "放射科网络共享Tanner.Whitehouse骨龄算法的研究," presented at the Chin J Radiol, 2008.
[20] Greulich WW, Pyle SI (1959) Radiographic atlas of skeletal development of the hand and wrist. Stanford University Press, Stanford, California.
[21] F. Cao, H.K. Huang, E. Pi tka and V. Gilsanz , A digital hand atlas for web-based bone age assessment: system design and implementation. SPIE Med Imaging 3976 (2000), pp. 297–307.
[22] A. Gertych, A. Zhang, J. Sayre, S. Pospiech-Kurkowska and H. Huang, Bone age assessment of children using a digital hand atlas, Computer. Med. Imaging Graph. 31 (4–5) (2007), pp. 322–331.