Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

@article{Kirisli2013StandardizedEF,
  title={Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography},
  author={Hortense A. Kirisli and Michiel Schaap and Coert Metz and A. S. Dharampal and W. B. Meijboom and S. L. Papadopoulou and A. Dedic and K. Nieman and Michiel A. de Graaf and M. F. L. Meijs and M. J. Cramer and Alexander Broersen and Suheyla Cetin and Abouzar Eslami and Leonardo Florez-Valencia and Kuo-Lung Lor and Bogdan J. Matuszewski and Imen Melki and Brian Mohr and Ilkay {\"O}ks{\"u}z and Rahil Khurram Shahzad and Chunliang Wang and Pieter H. Kitslaar and G{\"o}zde B. {\"U}nal and Amin Katouzian and Maciej Orkisz and Chung-Ming Chen and Fr{\'e}d{\'e}ric Precioso and Laurent Najman and S. Masood and Devrim {\"U}nay and Lucas J. van Vliet and Rodrigo Moreno and Roman Goldenberg and Erald Vuçini and Gabriel P. Krestin and Wiro J. Niessen and Theo van Walsum},
  journal={Medical image analysis},
  year={2013},
  volume={17 8},
  pages={
          859-76
        }
}
Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CTA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms devised to detect and quantify the coronary artery stenoses, and to segment the coronary artery lumen in CTA data. The… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 58 REFERENCES

Computer-aided simple triage (CAST) for coronary CT angiography (CCTA)

  • International Journal of Computer Assisted Radiology and Surgery
  • 2012
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Quantification of coronary arterial stenoses in CTA using fuzzy distance transform

  • Comp. Med. Imag. and Graph.
  • 2012
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Experimental validation of geometric and densitometric coronary measurements on the new generation cardiovascular angiography analysis system (caasii)

J. Haase, J. Escaned, +4 authors S.P.W
  • Catheterization and Cardiovascular Diagnosis
  • 1993
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

SCCT guidelines for the interpretation and reporting of coronary computed tomographic angiography.

  • Journal of cardiovascular computed tomography
  • 2009
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

A hybrid method for coronary artery stenosis detection and quantification. In: Proc. of MICCAI Workshop ”3D Cardiovascular Imaging: a MICCAI segmentation Challenge

Öksüz, D. Ünay, K. Kadipaşaoğlu
  • 2012
VIEW 1 EXCERPT