Segmentation of basic tissues for assessing noise in iteratively reconstructed MDCT data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99723" target="_blank" >RIV/00216305:26220/12:PU99723 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Segmentation of basic tissues for assessing noise in iteratively reconstructed MDCT data

Original language description

This paper describes fully automatic, fast and reliable algorithm for segmentation of basic tissues in iteratively reconstructed multidetector X-ray CT thoracic, abdominal and brain images. Iterative reconstruction becomes a part of routine in medical imaging and assessing of noise properties of iteratively reconstructed data in diverse tissues is required. Proposed segmentation is based on simple thresholding with fully automatic deter-mination of thresholds which are derived from the most significantpeaks in histograms of Hounsfield units. As thresholding is unable to distinguish trabecular bone and soft tissue additional segmentation based on classification is proposed.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2012

Confidentiality

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

Article name in the collection

Proceedings of the WSEAS International Conference on Visualization, Imaging and Simulation (Vis'12)

ISBN

978-1-61804-119-7

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

211-216

Publisher name

Neuveden

Place of publication

Neuveden

Event location

Sliema

Event date

Sep 7, 2012

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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