A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track

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Computer Vision and Image Processing (CVIP 2023)

Abstract

Ultrasound imaging is the most popular medical imaging modality for point-of-care bedside imaging. However, 2D ultrasound imaging provides only limited views of the organ of interest, making diagnosis challenging. To overcome this, 3D ultrasound imaging was developed, which uses 2D ultrasound images and their orientation/position to reconstruct 3D volumes. The accurate position estimation of the ultrasound probe at low cost has always stood as a challenging task in 3D reconstruction. In this study, we propose a novel approach of using a mechanical track for ultrasound scanning, which restricts the probe motion to a linear plane, simplifying the acquisition and hence the reconstruction process. We also present an end-to-end pipeline for 3D ultrasound volume reconstruction and demonstrate its efficacy with an in-vitro tube phantom study and an ex-vivo bone experiment. The comparison between a sensorless freehand and the proposed mechanical track based acquisition is available online ( ).

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References

  1. Mohamed, F., Siang, C.V.: A survey on 3D ultrasound reconstruction techniques. Artif. Intell. Appl. Med. Biol. 73–92 (2019)

    Google Scholar 

  2. Wen, T., et al.: GPU-based volume reconstruction for freehand 3D ultrasound imaging. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE (2017)

    Google Scholar 

  3. Woo, J., Roh, Y.: Ultrasonic 2D matrix array transducer for volumetric imaging in real time. In: 2012 IEEE International Ultrasonics Symposium. IEEE (2012)

    Google Scholar 

  4. Huang, Q., Zeng, Z.: A review on real-time 3D ultrasound imaging technology. BioMed Res. Int. (2017)

    Google Scholar 

  5. Kaminski, J.T., Rafatzand, K., Zhang, H.K.: Feasibility of robot-assisted ultrasound imaging with force feedback for assessment of thyroid diseases. In: Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 11315. SPIE (2020)

    Google Scholar 

  6. Daoud, M.I., et al.: Freehand 3D ultrasound imaging system using electromagnetic tracking. In: 2015 International Conference on Open Source Software Computing (OSSCOM). IEEE (2015)

    Google Scholar 

  7. Prevost, R., et al.: 3D freehand ultrasound without external tracking using deep learning. Med. Image Anal. 48, 187–202 (2018)

    Google Scholar 

  8. Liu, S., et al.: Deep learning in medical ultrasound analysis: a review. Engineering 5(2), 261–275 (2019)

    Google Scholar 

  9. Zuiderveld, K.J.: Contrast Limited Adaptive Histogram Equalization. Graphics gems (1994)

    Google Scholar 

  10. Suzuki, S.: Topological structural analysis of digitized binary images by border following. Comput. Vis. Graph. Image Process. 30(1), 32–46 (1985)

    Article  Google Scholar 

  11. Kimme, C., Ballard, D., Sklansky, J.: Finding circles by an array of accumulators. Commun. ACM 18(2), 120–122 (1975)

    Article  Google Scholar 

  12. Center for Computational Imaging IIT Palakkad. Freehand 3D Ultrasound Using Low Cost Mechanical Track. https://www.youtube.com/playlist?list=PLiuuVhVNWBZS-Gr02aLdWSzz1iGOFr5zC. Accessed 12 Feb 2023

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Correspondence to Mahesh Raveendranatha Panicker .

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Jerald, A., Madhavanunni, A.N., Malamal, G., Gopalakrishnan, P.H., Panicker, M.R. (2024). A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track. In: Kaur, H., Jakhetiya, V., Goyal, P., Khanna, P., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing. CVIP 2023. Communications in Computer and Information Science, vol 2009. Springer, Cham. https://doi.org/10.1007/978-3-031-58181-6_18

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  • DOI: https://doi.org/10.1007/978-3-031-58181-6_18

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  • Online ISBN: 978-3-031-58181-6

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