A novel statistical morphometry imaging method for differentiating long bone geometry: Methodological development and application with adolescent idiopathic scoliosis (AIS) patients
Publication in refereed journal


引用次數
替代計量分析
.

其它資訊
摘要Non-invasive quantification of bone shape is crucial in orthopaedic research. The primary objective of this study was to develop an automated statistical morphometry method for comparing the cross-sectional images of normal and diseased bones. The secondary objective involved demonstrating the effectiveness of the proposed method in distinguishing AIS patients from normal controls. This framework is composed of bone segmentation followed by measurements of maximum and minimum bone diameters, inter-group and intra-group statistical morphometry, and statistical analysis of bone thickness. The proposed framework was applied to detect bone morphological abnormality in adolescent idiopathic scoliosis (AIS) patients. The forearm bones in cross-sectional peripheral quantitative computed tomography (pQCT) images from 23 AIS patients and 16 normal controls were analyzed. The radius outer contour was found to be rounder and the radius cortical bone was thinner in AIS patients compared to normal controls. (C) 2011 IPEM. Published by Elsevier Ltd. All rights reserved.
著者Shi L, Wang DF, Yeung BHY, Chu WCW, Griffith JF, Heng PA, Cheng JCY, Ahuja AT
期刊名稱Medical Engineering and Physics
出版年份2011
月份11
日期1
卷號33
期次9
出版社ELSEVIER SCI LTD
頁次1103 - 1107
國際標準期刊號1350-4533
語言英式英語
關鍵詞Adolescent idiopathic scoliosis (AIS); Image segmentation; Peripheral quantitative computed tomography (pQCT); Skeletal bone; Statistical morphometry
Web of Science 學科類別Engineering; Engineering, Biomedical; ENGINEERING, BIOMEDICAL

上次更新時間 2020-30-10 於 00:58