Detail publikačního výsledku

Fast and Automatic Skull Segmentation of Multidetector CT Head Images

WALEK, P.; JAN, J.

Originální název

Fast and Automatic Skull Segmentation of Multidetector CT Head Images

Anglický název

Fast and Automatic Skull Segmentation of Multidetector CT Head Images

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper describes automatic and fast skull segmentation of head X-ray computed tomog-raphy (X-ray CT) images. Acquired data suffers from salient stair-step artifact which is corrected by registration using combination of phase correlation and gradient descent optimization methods. Skull segmentation is performed in the two steps, the first is segmentation of cortical bones by means of simple thresholding, and the second is classification of trabecular bones utilize information about shape of local histograms.

Anglický abstrakt

This paper describes automatic and fast skull segmentation of head X-ray computed tomog-raphy (X-ray CT) images. Acquired data suffers from salient stair-step artifact which is corrected by registration using combination of phase correlation and gradient descent optimization methods. Skull segmentation is performed in the two steps, the first is segmentation of cortical bones by means of simple thresholding, and the second is classification of trabecular bones utilize information about shape of local histograms.

Klíčová slova

X-Ray Computed Tomography, Stair-Step Artifact Correction, Skull Segmentation

Klíčová slova v angličtině

X-Ray Computed Tomography, Stair-Step Artifact Correction, Skull Segmentation

Autoři

WALEK, P.; JAN, J.

Rok RIV

2013

Vydáno

26.04.2012

ISBN

978-80-214-4462-1

Kniha

Student EEICT Proceedings of the 18th Conference - Volume 3

Strany od

79

Strany do

83

Strany počet

5

BibTex

@inproceedings{BUT91815,
  author="Petr {Walek} and Jiří {Jan}",
  title="Fast and Automatic Skull Segmentation of Multidetector CT Head Images",
  booktitle="Student EEICT Proceedings of the 18th Conference - Volume 3",
  year="2012",
  pages="79--83",
  isbn="978-80-214-4462-1"
}