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Patient-specific estimation of detailed cochlear shape from clinical CT images

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

Abstract

Purpose

A personalized estimation of the cochlear shape can be used to create computational anatomical models to aid cochlear implant (CI) surgery and CI audio processor programming ultimately resulting in improved hearing restoration. The purpose of this work is to develop and test a method for estimation of the detailed patient-specific cochlear shape from CT images.

Methods

From a collection of temporal bone \(\mu \)CT images, we build a cochlear statistical deformation model (SDM), which is a description of how a human cochlea deforms to represent the observed anatomical variability. The model is used for regularization of a non-rigid image registration procedure between a patient CT scan and a \(\mu \)CT image, allowing us to estimate the detailed patient-specific cochlear shape.

Results

We test the accuracy and precision of the predicted cochlear shape using both \(\mu \)CT and CT images. The evaluation is based on classic generic metrics, where we achieve competitive accuracy with the state-of-the-art methods for the task. Additionally, we expand the evaluation with a few anatomically specific scores.

Conclusions

The paper presents the process of building and using the SDM of the cochlea. Compared to current best practice, we demonstrate competitive performance and some useful properties of our method.

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References

  1. Avci E, Nauwelaers T, Lenarz T, Hamacher V, Kral A (2014) Variations in microanatomy of the human cochlea. J Comp Neurol. https://doi.org/10.1002/cne.23594

    PubMed  PubMed Central  Google Scholar 

  2. Baker G, Barnes N (2005) Model-image registration of parametric shape models: fitting a shell to the cochlea. Insight J

  3. Braun K, Boehnke F, Stark T (2012) Three-dimensional representation of the human cochlea using micro-computed tomography data: presenting an anatomical model for further numerical calculations. Acta Oto Laryngol 132(6):603–613. https://doi.org/10.3109/00016489.2011.653670

    Article  Google Scholar 

  4. Ceresa M, Mangado N, Andrews RJ, González Ballester MÁ (2015) Computational models for predicting outcomes of neuroprosthesis implantation: the case of cochlear implants. Mol Neurobiol 52(2):934–941

    Article  CAS  PubMed  Google Scholar 

  5. Cootes TF, Taylor CJ, Cooper DH, Graham J (1995) Active shape models—their training and application. Comput Vis Image Underst 61(1):38–59

    Article  Google Scholar 

  6. Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26(3):pp. 297–302, http://www.jstor.org/stable/1932409

  7. Erixon E, Rask-Andersen H (2013) How to predict cochlear length before cochlear implantation surgery. Acta Oto Laryngol 133(12):1258–1265. https://doi.org/10.3109/00016489.2013.831475

    Article  Google Scholar 

  8. Escudé B, James C, Deguine O, Cochard N, Eter E, Fraysse B (2006) The size of the cochlea and predictions of insertion depth angles for cochlear implant electrodes. Audiol Neurotol 11(Suppl 1):2733. https://doi.org/10.1159/000095611

    Google Scholar 

  9. Heimann T, Meinzer HP (2009) Statistical shape models for 3D medical image segmentation: a review. Med Image Anal 13(4):543–563. https://doi.org/10.1016/j.media.2009.05.004

    Article  PubMed  Google Scholar 

  10. Ketten DR, Skinner MW, Wang G, Vannier MW, Gates GA, Neely JG (1998) In vivo measures of cochlear length and insertion depth of nucleus cochlear implant electrode arrays. Ann Oto Rhinol Laryn Supplement 175:116, http://europepmc.org/abstract/MED/9826942

  11. Kjer HM, Vera S, Fagertun J, Gil D, González-Ballester MÁ, Paulsen R (2015) Image Registration of Cochlear \(\mu \)CT Data Using Heat Distribution Similarity. In: Image Analysis, Springer, pp 234–245, https://doi.org/10.1007/978-3-319-19665-7_20

  12. Klein S, Pluim JPW, Staring M, Viergever MA (2009) Adaptive stochastic gradient descent optimisation for image registration. Int J Comput Vis 81(3):227–239. https://doi.org/10.1007/s11263-008-0168-y

    Article  Google Scholar 

  13. Klein S, Staring M, Murphy K, Viergever MA, Pluim JP (2010) Elastix: a toolbox for intensity-based medical image registration. IEEE Trans Med Imag 29(1):196–205

    Article  Google Scholar 

  14. Lorensen WE, Cline HE (1987) Marching cubes: a high resolution 3D surface construction algorithm. SIGGRAPH Comput Graph 21(4):163–169. https://doi.org/10.1145/37402.37422

    Article  Google Scholar 

  15. Lüthi M, Blanc R, Albrecht T, Gass T, Goksel O, Büchler P, Kistler M, Bousleiman H, Reyes M, Cattin P, Vetter T (2012) Statismo–a framework for PCA based statistical models. Insight J 1:1–18

    Google Scholar 

  16. Mangado N, Ceresa M, Duchateau N, Kjer HM, Vera S, Velardo HD, Mistrik P, Paulsen RR, Fagertun J, Noailly J, Piella G, González Ballester MÁ (2015) Automatic model generation framework for computational simulation of cochlear implantation. Ann Biomed Eng 44(8):2453–2463. https://doi.org/10.1007/s10439-015-1541-y

  17. Noble JH, Labadie RF, Majdani O, Dawant BM (2011) Automatic segmentation of intracochlear anatomy in conventional CT. IEEE Trans Biomed Eng 58(9):2625–2632. https://doi.org/10.1109/TBME.2011.2160262

    Article  PubMed  PubMed Central  Google Scholar 

  18. Noble JH, Labadie RF, Gifford R, Dawant B (2013) Image-guidance Enables New Methods for Customizing Cochlear Implant Stimulation Strategies. IEEE Trans Neural Syst Rehabil Eng 21(5):820–829. https://doi.org/10.1109/TNSRE.2013.2253333

    Article  PubMed  PubMed Central  Google Scholar 

  19. Paulsen R, Baerentzen J, Larsen R (2010) Markov random field surface reconstruction. IEEE Trans Vis Comput Gr 16(4):636–646. https://doi.org/10.1109/TVCG.2009.208

    Article  Google Scholar 

  20. Rau TS, Hussong A, Leinung M, Lenarz T, Majdani O (2010) Automated insertion of preformed cochlear implant electrodes: evaluation of curling behaviour and insertion forces on an artificial cochlear model. Int J Compu Assisted Radiol Surg 5(2):173–181

    Article  Google Scholar 

  21. Reda FA, Noble JH, Labadie RF, Dawant BM (2012) Automatic pre- to intra-operative CT registration for image-guided cochlear implant surgery. IEEE Trans Biomed Eng 59(11):3070–3077. https://doi.org/10.1109/TBME.2012.2214775

    Article  PubMed  PubMed Central  Google Scholar 

  22. Rueckert D, Frangi AF, Schnabel JA (2003) Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration. IEEE Trans Med Imag 22(8):1014–1025. https://doi.org/10.1109/TMI.2003.815865

    Article  Google Scholar 

  23. Thiel W (1992) The preservation of the whole corpse with natural color. Ann Anat Anat Anzeiger Off Organ Anat Ges 174(3):185–195

    Article  CAS  Google Scholar 

  24. Todd CA, Naghdy F, Svehla MJ (2007) Force application during cochlear implant insertion: an analysis for improvement of surgeon technique. IEEE Trans Biomed Eng 54(7):1247–1255. https://doi.org/10.1109/TBME.2007.891937

    Article  PubMed  Google Scholar 

  25. Vera S, Perez F, Balust C, Trueba R, Rubió J, Calvo R, Mazaira X, Danasingh A, Barazzetti L, Reyes M, Ceresa M, Fagertun J, Kjer HM, Paulsen R, González Ballester MÁ (2014) Patient specific simulation for planning of cochlear implantation surgery. In: Workshop on clinical image-based procedures, Springer, Berlin, pp 101–108

  26. Verbist BM, Skinner MW, Cohen LT, Leake PA, James C, Boëx C, Holden TA, Finley CC, Roland PS, Roland JT, Haller M, Patrick JF, Jolly CN, Faltys MA, Briaire JJ, Frijns JH (2010) Consensus panel on a cochlear coordinate system applicable in histologic, physiologic, and radiologic studies of the human cochlea. Otol Neurotol 31(5):722–730

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wang G, Vannier MW, Skinner MW, Cavalcanti MGP, Harding GW (1998) Spiral CT image deblurring for cochlear implantation. IEEE Trans Med Imag 17(2):251–262. https://doi.org/10.1109/42.700737

    Article  CAS  Google Scholar 

  28. Wilson BS, Dorman MF (2008) Cochlear implants: a remarkable past and a brilliant future. Hearing Res 242(1–2):3–21. https://doi.org/10.1016/j.heares.2008.06.005

    Article  Google Scholar 

  29. Wimmer W, Venail F, Williamson T, Akkari M, Gerber N, Weber S, Caversaccio M, Uziel A, Bell B (2014) Semiautomatic cochleostomy target and insertion trajectory planning for minimally invasive cochlear implantation. Biomed Res Int. https://doi.org/10.1155/2014/596498

    PubMed  PubMed Central  Google Scholar 

  30. Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116–1128

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The research leading to HEAR-EU results has received funding from the European Union Seventh Frame Programme (FP7/2007-2013) under Grant Agreement No. 304857.

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Correspondence to H. Martin Kjer.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors. This articles does not contain patient data.

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Cite this article

Kjer, H.M., Fagertun, J., Wimmer, W. et al. Patient-specific estimation of detailed cochlear shape from clinical CT images. Int J CARS 13, 389–396 (2018). https://doi.org/10.1007/s11548-017-1701-7

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  • DOI: https://doi.org/10.1007/s11548-017-1701-7

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