Detail publikace

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

WALEK, P. JAN, J.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

X-ray Computed Tomography, Tissue Segmentation, Iterative Reconstruction, Dose Reduction.

Autoři

WALEK, P.; JAN, J.

Rok RIV

2012

Vydáno

9. 9. 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"
}