Publication detail

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

WALEK, P. JAN, J.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

WALEK, P.; JAN, J.

RIV year

2012

Released

9. 9. 2012

ISBN

978-1-61804-119-7

Book

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

Pages from

211

Pages to

216

Pages count

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"
}