Machine Learning Algorithm: Texture Analysis in CNO and Application in Distinguishing CNO and Bone Marrow Growth-Related Changes on Whole-Body MRI

Machine Learning Algorithm: Texture Analysis in CNO and Application in Distinguishing CNO and Bone Marrow Growth-Related Changes on Whole-Body MRI

Objective: The purpose of this study is to analyze the texture characteristics of chronic non-bacterial osteomyelitis (CNO) bone lesions, identified as areas of altered signal intensity on short tau inversion recovery (STIR) sequences, and to distinguish them from bone marrow growth-related changes...

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Bibliographic Details
Main Authors: Marta Forestieri, Antonio Napolitano, Paolo Tomà, Stefano Bascetta, Marco Cirillo, Emanuela Tagliente, Donatella Fracassi, Paola D’Angelo, Ines Casazza
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
whole-body magnetic resonance imaging
chronic non-bacterial osteomyelitis
bone marrow
machine learning
texture analysis
children
Online Access:https://www.mdpi.com/2075-4418/14/1/61

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https://www.mdpi.com/2075-4418/14/1/61

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