Selection of density standard and X–ray tube settings for computed digital absorptiometry in horses using the k–means clustering algorithm

Bibliographic Details
Title: Selection of density standard and X–ray tube settings for computed digital absorptiometry in horses using the k–means clustering algorithm
Authors: Bernard Turek, Marek Pawlikowski, Krzysztof Jankowski, Marta Borowska, Katarzyna Skierbiszewska, Tomasz Jasiński, Małgorzata Domino
Source: BMC Veterinary Research, Vol 21, Iss 1, Pp 1-19 (2025)
Publisher Information: BMC, 2025.
Publication Year: 2025
Collection: LCC:Veterinary medicine
Subject Terms: Computed digital absorptiometry, Bone mineral density, Radiological signs, Distal limbs, Horse, Veterinary medicine, SF600-1100
More Details: Abstract Background In veterinary medicine, conventional radiography is the first–choice method for most diagnostic imaging applications in both small animal and equine practice. One direction in its development is the integration of bone density evaluation and artificial intelligence–assisted clinical decision–making, which is expected to enhance and streamline veterinarians’ daily practices. One such decision–support method is k–means clustering, a machine learning and data mining technique that can be used clinically to classify radiographic signs into healthy or affected clusters. The study aims to investigate whether the k–means clustering algorithm can differentiate cortical and trabecular bone in both healthy and affected horse limbs. Therefore, identifying the optimal computed digital absorptiometry parameters was necessary. Methods and results Five metal–made density standards, made of pure aluminum, aluminum alloy (duralumin), cuprum alloy, iron–nickel alloy, and iron–silicon alloy, and ten X–ray tube settings were evaluated for the radiographic imaging of equine distal limbs, including six healthy limbs and six with radiographic signs of osteoarthritis. Density standards were imaged using ten combinations of X–ray tube settings, ranging from 50 to 90 kV and 1.2 to 4.0 mAs. The relative density in Hounsfield units was firstly returned for both bone types and density standards, then compared, and finally used for clustering. In both healthy and osteoarthritis–affected limbs, the relative density of the long pastern bone (the proximal phalanx) differed between bone types, allowing the k–means clustering algorithm to successful differentiate cortical and trabecular bone. Conclusion Density standard made of duralumin, along with the 60 kV, 4.0 mAs X–ray tube settings, yielded the highest clustering metric values and was therefore considered optimal for further research. We believe that the identified optimal computed digital absorptiometry parameters may be recommended for further researches on the relative quantification of conventional radiographs and for distal limb examination in equine veterinary practice.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1746-6148
80315747
Relation: https://doaj.org/toc/1746-6148
DOI: 10.1186/s12917-025-04591-5
Access URL: https://doaj.org/article/803157470e5c466caebf680a2a889932
Accession Number: edsdoj.803157470e5c466caebf680a2a889932
Database: Directory of Open Access Journals
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More Details
ISSN:17466148
80315747
DOI:10.1186/s12917-025-04591-5
Published in:BMC Veterinary Research
Language:English