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3D GRAY-LEVEL HISTOMORPHOMETRY OF TRABECULAR BONE - A METHODOLOGICAL REVIEW
Author(s) -
Zbisław Tabor,
Zbigniew Latała
Publication year - 2014
Publication title -
image analysis and stereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.237
H-Index - 27
eISSN - 1854-5165
pISSN - 1580-3139
DOI - 10.5566/ias.v33.p1-12
Subject(s) - bone histomorphometry , segmentation , gray (unit) , orientation (vector space) , computer science , grayscale , artificial intelligence , computer vision , image (mathematics) , geometry , mathematics , trabecular bone , medicine , pathology , radiology , osteoporosis

The goal of standard histomorphometry is to provide methods of qualitative description of tissue structure based on image data. Typical measurements include geometric areas, perimeters, length, angle of orientation, form factors, center of gravity coordinates etc. There are well-established procedures for deriving the aforementioned quantities from binary images. However, segmentation of in vivo images of trabecular bone poses a problem which has not been solved yet. Recent years have brought significant developments within an emerging field of “gray-level histomorphometry”. The general goal of gray-level histomorphometry is to provide procedures for measuring geometric areas, perimeters, length, angle of orientation, form factors, center of gravity coordinates etc. without the need for image segmentation. Although the field is not very mature yet, the collected results suggest that this approach opens new perspectives which should not be overlooked by the scientific community. In the present review we summarize the state-of-the-art within the 3D gray-level histomorphometry.

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