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Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings

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

Abstract

Purpose

Polyps found during CT colonography can be removed by colonoscopic polypectomy. A colonoscope navigation system that navigates a physician to polyp positions while performing the colonoscopic polypectomy is required. Colonoscope tracking methods are essential for implementing colonoscope navigation systems. Previous colonoscope tracking methods have failed when the colon deforms during colonoscope insertions. This paper proposes a colonoscope tracking method that is robust against colon deformations.

Method

The proposed method generates a colon centerline from a CT volume and a curved line representing the colonoscope shape (colonoscope line) by using electromagnetic sensors. We find correspondences between points on a deformed colon centerline and colonoscope line by a landmark-based coarse correspondence finding and a length-based fine correspondence finding processes. Even if the coarse correspondence finding process fails to find some correspondences, which occurs with colon deformations, the fine correspondence finding process is able to find correct correspondences by using previously recorded line lengths.

Result

Experimental results using a colon phantom showed that the proposed method finds the colonoscope tip position with tracking errors smaller than 50 mm in most trials. A physician who specializes in gastroenterology commented that tracking errors smaller than 50 mm are acceptable. This is because polyps are observable from the colonoscope camera when positions of the colonoscope tip and polyps are closer than 50 mm.

Conclusions

We developed a colonoscope tracking method that is robust against deformations of the colon. Because the process was designed to consider colon deformations, the proposed method can track the colonoscope tip position even if the colon deforms.

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References

  1. Yoshida H (2005) Three-dimensional computer-aided diagnosis in CT colonography. Multidimensional Image Processing, Analysis, and Display: RSNA Categorical Course in Diagnostic Radiology Physics :237–251

  2. Summers RM, Swift JA, Dwyer AJ, Choi R, Pickhardt PJ (2009) Normalized distance along the colon centerline: a method for correlating polyp location on ct colonography and optical colonoscopy. Am J Roentgenol 193(5):1296–1304

    Article  Google Scholar 

  3. Peters T, Cleary K (2008) Image-guided interventions: technology and applications. Springer, Germany

    Book  Google Scholar 

  4. Deligianni F, Chung A, Yang GZ (2005) Predictive camera tracking for bronchoscope simulation with condensation. Proc MICCAI 3749:910–916

    Google Scholar 

  5. Rai L, Helferty JP, Higgins WE (2008) Combined video tracking and image-video registration for continuous bronchoscopic guidance. Int J Comput Assist Radiol Surg 3:3–4

  6. Deguchi D, Mori K, Feuerstein M, Kitasaka T, Maurer CR Jr, Suenaga Y, Takabatake H, Mori M, Natori H (2009) Selective image similarity measure for bronchoscope tracking based on image registration. Med Image Anal 3(14):621–633

    Article  Google Scholar 

  7. Gildea TR, Mazzone PJ, Karnak D, Meziane M, Mehta A (2006) Electromagnetic navigation diagnostic bronchoscopy: a prospective study. Am J Respir Crit Care Med 174(9):982–989

    Article  PubMed  PubMed Central  Google Scholar 

  8. Schwarz Y, Greif J, Becker H, Ernst A, Metha A (2006) Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images: the first human study. Chest 129(4):988–994

  9. Mori K, Deguchi D, Akiyama K, Kitasaka T, Mauler CR Jr, Suenaga Y, Takabatake H, Mori M, Natori H (2005) Hybrid bronchoscope tracking using a magnetic tracking sensor and image registration. Med Image Comput Comput Assist Interv (MICCAI) 3750:543–550

  10. Luo X, Wan Y, He X, Mori K (2015) Observation-driven adaptive differential evolution and its application to accurate and smooth bronchoscope three-dimensional motion tracking. Med Image Anal 24:282–296

  11. Liu J, Subramanian KR, Yoo TS (2013) An optical flow approach to tracking colonoscopy video. Comput Med Imaging Graph 37(3):207–223

    Article  PubMed  Google Scholar 

  12. Ching LY, Moller K (2010) Non-radiological colonoscope tracking image guided colonoscopy using commercially available electromagnetic tracking system. In: IEEE conference on robotics automation and mechatronics (RAM), pp 62–67

  13. Fukuzawa M, Uematsu J, Kono S, Suzuki S, Sato T, Yagi N, Tsuji Y, Yagi K, Kusano C, Gotoda T, Kawai T, Moriyasu F (2015) Clinical impact of endoscopy position detection unit (UPD-3) for a non-sedated colonoscopy. World J Gastroenterol 21(16):4903–4910

    Article  PubMed  PubMed Central  Google Scholar 

  14. Oda M, Acar B, Furukawa K, Kitasaka T, Suenaga Y, Navab N, Mori K (2013) Colonoscope tracking method based on line registration using CT images and electromagnetic sensors. Int J Comput Assist Radiol Surg 8(1):S349–S351

    Google Scholar 

  15. Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K (2014) Colonoscope navigation system using colonoscope tracking method based on line registration. In: Proceedings of SPIE, pp 9036:903626-1–7

  16. Kondo H, Oda M, Furukawa K, Miyahara R, Hirooka Y, Goto H, Kitasaka T, Mori K (2014) Development of marker-free estimation method of colonoscope tip position using electromagnetic sensors and CT volumes. Int J Comput Assist Radiol Surg 9(1):S11–S12

    Article  Google Scholar 

  17. Saito T, Toriwaki J (1995) A sequential thinning algorithm for three dimensional digital pictures using the Euclidean distance transformation. In: Proceedings of 9th scandinavian conference on image analysis (SCIA), pp 507–516

  18. Oda M, Hayashi Y, Kitasaka T, Mori K, Suenaga Y (2006) A method for generating virtual unfolded view of colon using spring model. In: Proceedings of SPIE, pp 6143:61431C-1–12

  19. Chen ECS, Fowler SA, Hookey LC, Ellis RE (2010) Representing flexible endoscope shapes with Hermite splines. In: Proceedings of SPIE, pp 7625:76251D-1–7

  20. Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14:239–256

    Article  Google Scholar 

Download references

Acknowledgments

Parts of this research were supported by the MEXT, the JSPS KAKENHI Grant Numbers 24700494, 21103006, 25242047, 26108006, 26560255, the JSPS Bilateral International Collaboration Grants, and the Kayamori Foundation of Informational Science Advancement.

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Correspondence to Masahiro Oda.

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Oda, M., Kondo, H., Kitasaka, T. et al. Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings. Int J CARS 12, 39–50 (2017). https://doi.org/10.1007/s11548-016-1456-6

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  • DOI: https://doi.org/10.1007/s11548-016-1456-6

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