A new algorithm to improve assessment of cortical bone geometry in pQCT
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- 作者：Tomas Cervinkaa ; b ; tomas.cervinka@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Harri Sievä ; nenc ; harri.sievanen@uta.fi" class="auth_mail" title="E-mail the corresponding author ; Deena Lalad ; dlala@uwo.ca" class="auth_mail" title="E-mail the corresponding author ; Angela M. Cheunge ; angela.m.cheung@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Lora Giangregoriof ; lora.giangregorio@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author ; Jari Hyttinena ; b ; jari.hyttinen@tut.fi" class="auth_mail" title="E-mail the corresponding author
- 关键词：Bone strength ; Cortical bone ; pQCT ; HR-pQCT ; Segmentation
- 刊名：Bone
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：81
- 期：Complete
- 页码：721-730
- 全文大小：1613 K
文摘
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We carried out a robust cortical bone analysis of pQCT and HR-pQCT images of the same imaging volumes
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We assessed cortical bone traits that are mostly affected by image artefacts and compromised by conventional threshold-based analysis
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With the use of an advanced image processing algorithm, detection of cortical geometry is comparable between pQCT and HR-pQCT