Olivier Hû
ABSTRACT
Interpolation, or the zoom function, in medical imaging processing is imperative in the visualization of subtle lesion. However, the reliability and validity of developed algorithms from an observer performance perspective are poorly documented. Subjective algorithm performance differs depending on the techniques used and the properties of the original image, yet these functions are widely and frequently used in clinical practice. This study evaluated the subjective performance of six practitioners when assessing five different pathologies captured by MRI. The clinical cases were then interpolated using 50 non-adaptive zoom techniques. Preliminary results demonstrate that no algorithm emerged as the optimal interpolation method within this study and that the selection of interpolation algorithm in medical imaging appears to depend largely on the pathology under investigation.
- Bekkat N. Critères objectifs de qualité subjective d'images monochrome. Conception du modèle et validation expérimentale. Rapport de thèse. Université de Nantes. IRESTE. 1999Google Scholar
- Chetouani A. Vers un système d'évaluation de la qualité d'image multi-critères. Rapport de thèse. Université Paris13. 2010Google Scholar
- Gotchev A. Egiazarian K., Vesma J., Saramaki T. Edge-preserving image resizing using modifief B-splines. In International Conference on Acoustics, Speech, and Signal Processing, 2001. (ICASSP '01) Google ScholarDigital Library
- Hawkins W.G., FFT interpolation for arbitrary factors: a comparison to cubic spline interpolation and linear interpolation in Nuclear Science Symposium and Medical Imaging Conference, 1994.Google Scholar
- Jinyu Chu Ju Lie; Jianpnig Qiao; Xiaoling Wang; Yujun Li. Gradient-based adaptive interpolation in super-resolution image restoration. In 9th International Conference on Signal Processing, 2008. pp1027--1030Google ScholarCross Ref
- Lehmann T. M., Gönner C., Spitzer K. Survey: Interpolation Methods in Medical Image Processing. In Transactions on medical imaging, vol. 18(11), 1999Google Scholar
- Reeth Van E., Bertolino P., Nicolas M., Agrandissement d'image basé sur une carte directionnelle multirésolution. 23e colloque GRETSI, Bordeaux, 2011Google Scholar
- Thévenaz Ph., Blu T., Unser M.. Interpolation revisited. in Transaction on Medical Imaging, vol.19(7) 2000.Google Scholar
- Unser M., Aldroubi A., Eden M.. Fast B-splines transforms for continuous image representation and interpolation., in IEEE Transactions Pattern Analysis and Machine Intelligence. Vol.13, pp277--285, 1991. Google ScholarDigital Library
- Wang Q., Ward RK. A new orientation-adaptive interpolation method. In IEEE Transactions on Image Processing 2007 Apr; Vol. 16 (4), pp889--900. Google ScholarDigital Library
Index Terms
- Evaluation subjective des algorithmes d'interpolation de zoom en imagerie médicale
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