Generating standardized image data for testing and calibrating quantification of volumes, surfaces, lengths, and object counts in fibrous and porous materials using X-ray microtomography

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F18%3A10371936" target="_blank" >RIV/00216208:11110/18:10371936 - isvavai.cz</a>

Alternative codes found

RIV/46747885:24410/18:00004959 RIV/67985891:_____/18:00497407 RIV/68407700:21220/18:00329410 RIV/00216208:11140/18:10371936 and 2 more

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/jemt.23011" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/jemt.23011</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/jemt.23011" target="_blank" >10.1002/jemt.23011</a>

Result language

angličtina

Original language name

Generating standardized image data for testing and calibrating quantification of volumes, surfaces, lengths, and object counts in fibrous and porous materials using X-ray microtomography

Original language description

Quantification of the structure and composition of biomaterials using micro-CT requires image segmentation due to the low contrast and overlapping radioopacity of biological materials. The amount of bias introduced by segmentation procedures is generally unknown. We aim to develop software that generates three-dimensional models of fibrous and porous structures with known volumes, surfaces, lengths, and object counts in fibrous materials and to provide a software tool that calibrates quantitative micro-CT assessments. Virtual image stacks were generated using the newly developed software TeIGen, enabling the simulation of micro-CT scans of unconnected tubes, connected tubes, and porosities. A realistic noise generator was incorporated. Forty image stacks were evaluated using micro-CT, and the error between the true known and estimated data was quantified. Starting with geometric primitives, the error of the numerical estimation of surfaces and volumes was eliminated, thereby enabling the quantification of volumes and surfaces of colliding objects. Analysis of the sensitivity of the thresholding upon parameters of generated testing image sets revealed the effects of decreasing resolution and increasing noise on the accuracy of the micro-CT quantification. The size of the error increased with decreasing resolution when the voxel size exceeded 1/10 of the typical object size, which simulated the effect of the smallest details that could still be reliably quantified. Open-source software for calibrating quantitative micro-CT assessments by producing and saving virtually generated image data sets with known morphometric data was made freely available to researchers involved in morphometry of three-dimensional fibrillar and porous structures in micro-CT scans.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30106 - Anatomy and morphology (plant science to be 1.6)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Microscopy Research and Technique

ISSN

1059-910X

e-ISSN

—

Volume of the periodical

81

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

18

Pages from-to

551-568

UT code for WoS article

000434151700004

EID of the result in the Scopus database

2-s2.0-85042388467