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Comparison of extracted skeleton patterns of human femur and humerus using the line skeleton operation process and skeleton operation process

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TLDR
There were obvious differences between the simple skeleton images and the line skeleton images, and with more study these differences may be useful in detecting changes in trabecular patterns resulting from disease, stress or altered function.
Abstract
This study presents and compares trabecular skeletal patterns of human femoral and humeral bone extracted by applying mathematical morphology and morphological filters. Two morphological filters and skeleton processing operations were used to extract the skeleton images. Images obtained with a combination of the single disc-shaped structuring element (5 pixel diameter) and the skeleton operation were compared to images obtained with the line structuring element and the line skeleton operation. Seven dentomaxillofacial radiologists evaluated the resulting images. Line skeleton images (both subset and sumset images) had fewer trabecular elements extracted and higher discontinuity as the operation number increased, and there were obvious differences between the simple skeleton images and the line skeleton images. With more study these differences may be useful in detecting changes in trabecular patterns resulting from disease, stress or altered function.

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Citations
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Journal ArticleDOI

Quantitative analysis using the star volume method applied to skeleton patterns extracted with a morphological filter.

TL;DR: It can be concluded that the application of morphological filters and star volume analysis may be a useful tool in quantitatively determining the characteristics and continuity of trabecular skeletal structures.
Journal ArticleDOI

Assessment of bone feature parameters from lumbar trabecular skeletal patterns using mathematical morphology image processing.

TL;DR: Results indicate that the system consisting of a combination of a magnification radiographic technique, CR, μ-CT, and mathematical morphology image processing may be a useful tool for quantitative skeletal structure analysis and the structural assessment of lumbar vertebrae, for the assessment of skeletal structural changes.
Journal ArticleDOI

Morphometric analysis of digital radiographic bone images for trabecular bone structure

TL;DR: The results suggest that the system for bone morphometric analysis of digital radiographic images is useful for the evaluation of structural change in bone trabeculation.
Journal ArticleDOI

Application of node-strut analysis to skeletal patterns on digital radiographic images

TL;DR: The results prove that the differences of connectivity of binary skeletal patterns extracted by morphological filtration may be assessed through the use of node-strut analysis of the numbers of Nd and Tm and the length of the strut.
References
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Book

Image Analysis and Mathematical Morphology

Jean Serra
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Journal ArticleDOI

Analysis of the radiographic trabecular pattern

TL;DR: It is shown that the trabecular pattern of perimenopausal women is dynamic and the tral radius of this pattern, seen on radiographs of the distal radius, turns out to be stable.
Journal ArticleDOI

Initial investigation of mathematical morphology for the digital extraction of the skeletal characteristics of trabecular bone

TL;DR: Modification of the morphological filter enhanced the extraction of skeletal characteristics of trabecular bone and may be a useful adjunct in computer-aided structural analysis of bone.
Journal ArticleDOI

Skeletal pattern extraction of bone trabeculae using mathematical morphology

TL;DR: It is suggested that development of a suitable morphological filter to extract the skeletal patterns of bone trabeculae may be an effective supplement for computer aided diagnosis of medical images (CADM) in the support of adequate diagnosis of bone diseases.
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