Comparison of methods to assess quadriceps muscle volume using magnetic resonance imaging
Purpose To compare the precision of four methods to estimate the volume of quadriceps muscles using axial MRI. Materials and Methods Entire legs of 10 healthy young subjects were scanned using a 1.5 Tesla magnetic resonance imaging scanner and 4‐mm‐thick sections without any gaps. Quadriceps muscles...
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| Published in | Journal of magnetic resonance imaging Vol. 30; no. 5; pp. 1116 - 1123 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.11.2009
Wiley-Blackwell |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-1807 1522-2586 1522-2586 |
| DOI | 10.1002/jmri.21867 |
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| Summary: | Purpose
To compare the precision of four methods to estimate the volume of quadriceps muscles using axial MRI.
Materials and Methods
Entire legs of 10 healthy young subjects were scanned using a 1.5 Tesla magnetic resonance imaging scanner and 4‐mm‐thick sections without any gaps. Quadriceps muscles were outlined on all of the slices to obtain the MRI reference standard measure of quadriceps muscle volume. This MRI reference standard was compared with the volume estimated using (i) the truncated cone formula, (ii) the Cavalieri method, (iii) a cubic spline interpolation of missing cross sectional areas, and, (iv) the deformation of a parametric specific object. For each method, 3 to 21 slices were used.
Results
The average volume error was significantly (P < 0.001) different in comparing the four methods (4.4%, 2.3%, 1.1%, and 1.2%, respectively). In addition, the number of slices required to reach a given volume error was significantly (P < 0.001) different across all methods (respectively, 12, 9, 5, and 7 slices required to reach a volume error of 1.1%).
Conclusion
While methods based on interpolation and deformation of a parametric specific object have not been used in literature, these two methods are the most precise approaches to reach a given level of precision. J. Magn. Reson. Imaging 2009;30:1116–1123. © 2009 Wiley‐Liss, Inc. |
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| Bibliography: | Chaire de Recherche du Canada en imagerie 3D et ingénierie biomédicale MENTOR program (École de Technologie Supérieure Institut de Recherche en Santé du Canada ark:/67375/WNG-WX3TFBHP-2 Centre National de la Recherche Scientifique istex:E929A44A988C517A03EC88FE02C54EB693831888 ArticleID:JMRI21867 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 1053-1807 1522-2586 1522-2586 |
| DOI: | 10.1002/jmri.21867 |