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Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy

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An Erratum to this article was published on 25 April 2012

Abstract

A new method for prosthetic component segmentation from fluoroscopic images is presented. The hybrid approach we propose combines diffusion filtering, region growing and level-set techniques without exploiting any a priori knowledge of the analyzed geometry. The method was evaluated on a synthetic dataset including 270 images of knee and hip prosthesis merged to real fluoroscopic data simulating different conditions of blurring and illumination gradient. The performance of the method was assessed by comparing estimated contours to references using different metrics. Results showed that the segmentation procedure is fast, accurate, independent on the operator as well as on the specific geometrical characteristics of the prosthetic component, and able to compensate for amount of blurring and illumination gradient. Importantly, the method allows a strong reduction of required user interaction time when compared to traditional segmentation techniques. Its effectiveness and robustness in different image conditions, together with simplicity and fast implementation, make this prosthetic component segmentation procedure promising and suitable for multiple clinical applications including assessment of in vivo joint kinematics in a variety of cases.

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Acknowledgments

This project was supported by the research grant “A multimodal approach to study the biomechanics of healthy and pathological knee” (PRIN 2008).

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Authors and Affiliations

  1. Department of Electronics, Computer Science, and Systems (DEIS), University of Bologna, Bologna, Italy

    Giacomo Tarroni, Cristiana Corsi & Rita Stagni

  2. Health Sciences and Technologies-Interdepartmental Center for Industrial Research (HST-ICIR), University of Bologna, Bologna, Italy

    Luca Tersi & Rita Stagni

Authors
  1. Giacomo Tarroni
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  2. Luca Tersi
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  3. Cristiana Corsi
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  4. Rita Stagni
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Corresponding author

Correspondence to Cristiana Corsi.

Additional information

C. Corsi and R. Stagni contributed equally to this work.

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Tarroni, G., Tersi, L., Corsi, C. et al. Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy. Med Biol Eng Comput 50, 631–640 (2012). https://doi.org/10.1007/s11517-012-0884-x

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  • DOI: https://doi.org/10.1007/s11517-012-0884-x

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