Literature DB >> 10227373

3D MR image analysis of the morphology of the rear foot: application to classification of bones.

E Stindel1, J K Udupa, B E Hirsch, D Odhner, C Couture.   

Abstract

The purpose of this work is to characterize the three-dimensional (3D) morphology of the bones of the rear foot using MR image data. It has two sub-aims: (i) to study the variability of the various computed architectural measures caused by the subjectivity and variations in the various processing operations; (ii) to study the morphology of the bones included in the peritalar complex. Each image data set utilized in this study consists of sixty sagittal slices of the foot acquired on a 1.5 T commercial GE MR system. The description of the rear foot morphology is based mainly on the principal axes, which represent the inertia axes of the bones, and on the bone surfaces. We use the live-wire method [Falcao AX, Udupa JK, Samarasekera S, Shoba S, Hirsch BE, Lotufo RA. User-steered image segmentation paradigms: live wire and live lane. Proceedings of the Society of Photo-optical Instrumentation Engineers 1996;2710:278-288] for segmenting and forming the surfaces of the bones. In the first part of this work, we focus on the analysis of the dependence of the principal axes system on segmentation and on scan orientation. In the second part, we describe the normal morphology of the rear foot considering the four bones namely calcaneus, cuboid, navicular, and talus, and compare this to a population from the upper Pleistocene. We conclude that this non-invasive method offers a unique tool to characterize the bone morphology in live patients towards the goal of understanding the architecture and kinematics of normal and pathological joints in vivo.

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Year:  1999        PMID: 10227373     DOI: 10.1016/s0895-6111(98)00070-6

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  4 in total

1.  CAVASS: a computer-assisted visualization and analysis software system.

Authors:  George Grevera; Jayaram Udupa; Dewey Odhner; Ying Zhuge; Andre Souza; Tad Iwanaga; Shipra Mishra
Journal:  J Digit Imaging       Date:  2007-09-06       Impact factor: 4.056

2.  Statistical, Morphometric, Anatomical Shape Model (Atlas) of Calcaneus.

Authors:  Aleksandra U Melinska; Patryk Romaszkiewicz; Justyna Wagel; Marek Sasiadek; D Robert Iskander
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

3.  Statistical shape models of cuboid, navicular and talus bones.

Authors:  Aleksandra U Melinska; Patryk Romaszkiewicz; Justyna Wagel; Bartlomiej Antosik; Marek Sasiadek; D Robert Iskander
Journal:  J Foot Ankle Res       Date:  2017-01-31       Impact factor: 2.303

4.  Reliability of clinically relevant 3D foot bone angles from quantitative computed tomography.

Authors:  David J Gutekunst; Lu Liu; Tao Ju; Fred W Prior; David R Sinacore
Journal:  J Foot Ankle Res       Date:  2013-09-17       Impact factor: 2.303

  4 in total

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