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Stretched reconstruction based on 2D freehand ultrasound for peripheral artery imaging

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

Abstract

Purpose

Endovascular revascularization is becoming the established first-line treatment of peripheral artery disease (PAD). Ultrasound (US) imaging is used pre-operatively to make the first diagnosis and is often followed by a CT angiography (CTA). US provides a non-invasive and non-ionizing method for the visualization of arteries and lesion(s). This paper proposes to generate a 3D stretched reconstruction of the femoral artery from a sequence of 2D US B-mode frames.

Methods

The proposed method is solely image-based. A Mask-RCNN is used to segment the femoral artery on the 2D US frames. In-plane registration is achieved by aligning the artery segmentation masks. Subsequently, a convolutional neural network (CNN) predicts the out-of-plane translation. After processing all input frames and re-sampling the volume according to the vessel’s centerline, the whole femoral artery can be visualized on a single slice of the resulting stretched view.

Results

111 tracked US sequences of the left or right femoral arteries have been acquired on 18 healthy volunteers. fivefold cross-validation was used to validate our method and achieve an absolute mean error of 0.28 ± 0.28 mm and a median drift error of 8.98%.

Conclusion

This study demonstrates the feasibility of freehand US stretched reconstruction following a deep learning strategy for imaging the femoral artery. Stretched views are generated and can give rich diagnosis information in the pre-operative planning of PAD procedures. This visualization could replace traditional 3D imaging in the pre-operative planning process, and during the pre-operative diagnosis phase, to identify, locate, and size stenosis/thrombosis lesions.

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Authors and Affiliations

  1. Therenva, 35000, Rennes, France

    Thomas Leblanc & Florent Lalys

  2. Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France

    Thomas Leblanc, Adrien Kaladji, Antoine Lucas & Antoine Simon

  3. Vascular Medicine Unit, CHU Rennes, 35033, Rennes, France

    Quentin Tollenaere

  4. Department of Cardiothoracic and Vascular Surgery, CHU Rennes, 35033, Rennes, France

    Adrien Kaladji & Antoine Lucas

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  1. Thomas Leblanc
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Correspondence to Thomas Leblanc.

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Leblanc, T., Lalys, F., Tollenaere, Q. et al. Stretched reconstruction based on 2D freehand ultrasound for peripheral artery imaging. Int J CARS 17, 1281–1288 (2022). https://doi.org/10.1007/s11548-022-02636-w

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  • DOI: https://doi.org/10.1007/s11548-022-02636-w

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