What is it about?
X-Ray Computed Microtomography (µCT or micro-CT) allows a non-destructive analysis of samples, which helps their reuse. The X-Ray µCT equipment offers the user several configuration options that change the quality of the images obtained, thus affecting the expected result. In this study, a methodology for analyzing X-Ray µCT images generated by the SkyScan1174 Compact Micro-CT equipment was developed. The basis of this analysis methodology is texture descriptors. Three sets of images were used, then degradations and noise were applied to the original images, generating new images. Subsequently, the following texture descriptors assisted in scrutinizing the sets: maximum probability, the moment of difference, the inverse difference moment, entropy, and uniformity. Experiments show the outcomes of some tests.
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Why is it important?
To carry on complete 3D imaging exams without destroying the object being analyzed and with a simplified representation with reduced features. Micro-CT can handle both in medical/biological and industrial imaging. Generally, the scanner setups can be (i) the X-ray source and detector are stationary throughout scanning with the sample/animal rotating, or (ii) the specimen stays stationary with the X-ray tube and detector rotating around it. These scanners are safe and suitable for small animals (in vivo scanning), medical/biological samples, microfossils, food items, and other targets that need preservation and care with a great level of detail.
Perspectives
The popularization of 3D imaging can improve diagnosis considerably but still require work due to its heavy computational load. Nature-inspired algorithms and other types of artificial intelligence can improve considerably these exams.
Dr Vania V. Estrela
Universidade Federal Fluminense
Read the Original
This page is a summary of: Nondestructive Diagnosis and Analysis of Computed Microtomography Images via Texture Descriptors, November 2020, Springer Science + Business Media,
DOI: 10.1007/978-3-030-57552-6_16.
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