Semiautomatic extraction of cortical thickness and diaphyseal curvature from CT scans
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10367102" target="_blank" >RIV/00216208:11310/17:10367102 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/17:10367102
Result on the web
<a href="http://dx.doi.org/10.1002/ajpa.23315" target="_blank" >http://dx.doi.org/10.1002/ajpa.23315</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/ajpa.23315" target="_blank" >10.1002/ajpa.23315</a>
Alternative languages
Result language
angličtina
Original language name
Semiautomatic extraction of cortical thickness and diaphyseal curvature from CT scans
Original language description
The understanding of locomotor patterns, activity schemes, and biological variations has been enhanced by the study of the geometrical properties and cortical bone thickness of the long bones measured using CT scan cross-sections. With the development of scanning procedures, the internal architecture of the long bones can be explored along the entire diaphysis. Recently, several methods that map cortical thickness along the whole femoral diaphysis have been developed. Precise homology is vital for statistical examination of the data; however, the repeatability of these methods is unknown and some do not account for the curvature of the bones. We have designed a semiautomatic workflow that improves the morphometric analysis of cortical thickness, including robust data acquisition with minimal user interaction and considering the bone curvature. The proposed algorithm also performs automatic landmark refinement and rigid registration on the extracted morphometric maps of the cortical thickness. Because our algorithm automatically reslices the diaphysis into 100 cross-sections along the medial axis and uses an adaptive thresholding method, it is usable on CT scans that contain soft tissues as well as on bones that have not been oriented specifically prior to scanning. Our approach exhibits considerable robustness to error in user-supplied landmarks, suppresses distortion caused by the curvature of the bones, and calculates the curvature of the medial axis.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10600 - Biological sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
American Journal of Physical Anthropology
ISSN
0002-9483
e-ISSN
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Volume of the periodical
164
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
868-876
UT code for WoS article
000415905800016
EID of the result in the Scopus database
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