Mittag, U., Kriechbaumer, A. and Rittweger, J. (2017). A novel interpolation approach for the generation of 3D-geometric digital bone models from image stacks. J. Musculoskelet. Neuronal Interact., 17 (2). S. 86 - 97. NAFPLION: JMNI. ISSN 1108-7161

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The authors propose a new 3D interpolation algorithm for the generation of digital geometric 3D-models of bones from existing image stacks obtained by peripheral Quantitative Computed Tomography (pQCT) or Magnetic Resonance Imaging (MRI). The technique is based on the interpolation of radial gray value profiles of the pQCT cross sections. The method has been validated by using an ex-vivo human tibia and by comparing interpolated pQCT images with images from scans taken at the same position. A diversity index of <0.4 (1 meaning maximal diversity) even for the structurally complex region of the epiphysis, along with the good agreement of mineral-density-weighted cross-sectional moment of inertia (CSMI), demonstrate the high quality of our interpolation approach. Thus the authors demonstrate that this interpolation scheme can substantially improve the generation of 3D models from sparse scan sets, not only with respect to the outer shape but also with respect to the internal gray-value derived material property distribution.

Item Type: Journal Article
CreatorsEmailORCIDORCID Put Code
URN: urn:nbn:de:hbz:38-228448
Journal or Publication Title: J. Musculoskelet. Neuronal Interact.
Volume: 17
Number: 2
Page Range: S. 86 - 97
Date: 2017
Publisher: JMNI
Place of Publication: NAFPLION
ISSN: 1108-7161
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
RECONSTRUCTIONMultiple languages
Neurosciences; PhysiologyMultiple languages
Refereed: Yes


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