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Detail publikačního výsledku
WALEK, P.; JAN, J.
Originální název
Segmentation of basic tissues for assessing noise in iteratively reconstructed MDCT data
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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 significant peaks in histograms of Hounsfield units. As thresholding is unable to distinguish trabecular bone and soft tissue additional segmentation based on classification is proposed.
Anglický abstrakt
Klíčová slova
X-ray Computed Tomography, Tissue Segmentation, Iterative Reconstruction, Dose Reduction.
Klíčová slova v angličtině
Autoři
Rok RIV
2013
Vydáno
09.09.2012
ISBN
978-1-61804-119-7
Kniha
Proceedings of the WSEAS International Conference on Visualization, Imaging and Simulation (Vis'12)
Strany od
211
Strany do
216
Strany počet
6
BibTex
@inproceedings{BUT93827, author="Petr {Walek} and Jiří {Jan}", title="Segmentation of basic tissues for assessing noise in iteratively reconstructed MDCT data", booktitle="Proceedings of the WSEAS International Conference on Visualization, Imaging and Simulation (Vis'12)", year="2012", pages="211--216", isbn="978-1-61804-119-7" }