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Context region discovery for automatic motion compensation in fluoroscopy

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Image-based tracking for motion compensation is an important topic in image-guided interventions, as it enables physicians to operate in a less complex space. In this paper, we propose an automatic motion compensation scheme to boost image guidence power in transcatheter aortic valve implantation (TAVI).

Methods

The proposed tracking algorithm automatically discovers reliable regions that correlate strongly with the target. These discovered regions can assist to estimate target motion under severe occlusion, even if target tracker fails.

Results

We evaluate the proposed method for pigtail tracking during TAVI. We obtain significant improvement (12 %) over the baseline in a clinical dataset. Calcification regions are automatically discovered during tracking, which would aid TAVI processes.

Conclusion

In this work, we open a new paradigm to provide dynamic real-time guidance for TAVI without user interventions, specially in case of severe occlusion where conventional tracking methods are challenged.

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Author information

Authors and Affiliations

  1. Northwestern University, Evanston, IL, USA

    Yin Xia & Ying Wu

  2. University of Central Florida, Orlando, FL, USA

    Sarfaraz Hussein

  3. Siemens Corporate Research, Princeton, NJ, USA

    Vivek Singh & Terrence Chen

  4. Siemens AG, Healthcare Sector, Forchheim, Germany

    Matthias John

Authors
  1. Yin Xia
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  2. Sarfaraz Hussein
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  3. Vivek Singh
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  4. Matthias John
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  5. Ying Wu
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  6. Terrence Chen
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Corresponding author

Correspondence to Yin Xia.

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Conflict of interest

Author Terrence Chen has received research grants from Siemens medical solutions, Inc.

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For this type of study formal consent is not required.

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Disclaimer The outlined concepts are not commercially available. Due to regulatory reasons its future availability cannot be guaranteed.

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Cite this article

Xia, Y., Hussein, S., Singh, V. et al. Context region discovery for automatic motion compensation in fluoroscopy. Int J CARS 11, 977–985 (2016). https://doi.org/10.1007/s11548-016-1362-y

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  • DOI: https://doi.org/10.1007/s11548-016-1362-y

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