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Vascular Model Editing for 3D Printing Based on Implicit Functions

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Image and Graphics Technologies and Applications (IGTA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1043))

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Abstract

3D printing can quickly identify prototype to form the geometric model of the blood vessel, and then we use the printed model to do surgery simulation, so as to help the doctor to evaluate the success rate of the operation. However, current modeling technologies of 3D printing are based on explicit modeling method. These explicitly represented models need an extremely complicated geometric transformation before printing, which leads to damage of models. In this paper, we adopt implicit modeling technique to reconstruct the vascular model, and then propose a vascular model editing method for 3D printing, which includes extending the blood vessel inlets and outlets, designing the open section, and constructing the wall. Experimental results show that the extension of the vascular port makes model completely retain the information of the blood vessel inlets and outlets, which facilitate subsequent operation.

This work was supported in part by the National Natural Science Foundation of China under Grant No. 61502402, 61772023, and 61802322, and the Fundamental Research Funds for the Central Universities under Grant No. 20720180073.

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References

  1. Gerig, G., Koller, T., Székely, G., Brechbühler, C., Kübler, O.: Symbolic description of 3D structures applied to cerebral vessel tree obtained from mr angiography volume data. In: Information Processing in Medical Imaging, pp. 94–111 (1993)

    Google Scholar 

  2. Kappanayil, M., Koneti, N.R., Kannan, R.R., Kottayil, B.P., Kumar, K.: Three-dimensional-printed cardiac prototypes aid surgical decision-making and preoperative planning in selected cases of complex congenital heart diseases: Early experience and proof of concept in a resource-limited environment. Ann. Pediatr. Cardiol. 10, 117–125 (2017)

    Article  Google Scholar 

  3. Bose, S., Vahabzadeh, S., Bandyopadhyay, A.: Bone tissue engineering using 3D printing. J. Mater. Today 16, 496–504 (2013)

    Article  Google Scholar 

  4. Gross, B.C., Erkal, J.L., Lockwood, S.Y., Chen, C., Spence, D.M.: Evaluation of 3D printing and its potential impacton biotechnology and the chemical sciences. J. Anal. Chem. 86, 3240–3253 (2014)

    Article  Google Scholar 

  5. Jin, X., Tai, C.L., Zhang, H.: Implicit modeling from polygon soup using convolution. J. Vis. Comput. 25, 279–288 (2009)

    Article  Google Scholar 

  6. Hong, Q., Li, Y., Li, Q., Wang, B., Yao, J., Wu, Q., She, Y.: An implicit skeleton-based method for the geometry reconstruction of vasculatures. J. Vis. Comput. 32(10), 1251–1262 (2016)

    Article  Google Scholar 

  7. Martelli, N., Serrano, C., Brink, H., Pineau, J., Prognon, P., Borget, I., Batti, S.: Advantages and disadvantages of 3-dimensional printing in surgery: a systematic review. J. Surg. 159(6), 1485–1500 (2016)

    Google Scholar 

  8. Marro, A., Bandukwala, T., Mak, W.: Three-dimensional printing and medical imaging: a review of the methods and applications. J. Curr. Probl. Diagn. Radiol. 45, 2–9 (2016)

    Article  Google Scholar 

  9. Hernández-Hoyos, M., Anwander, A., Orkisz, M., Roux, J., Douk, P., Magnin, E.: A deformable vessel model with single point initialization for segmentation, quantification and visualization of blood vessels in 3D MRA. In: Medical Image Computing and Computer-Assisted Intervention, pp. 735–745 (2000)

    Chapter  Google Scholar 

  10. O’Hara, R., Chand, A., Vidiyala, S., Arechavala, S.: Advanced 3D mesh manipulation in stereolithographic files and post-print processing for the manufacturing of patient-specific vascular flow phantoms. In: International Society for Optics Engineering, SPIE (2016)

    Google Scholar 

  11. Ionita, C.N., et al.: Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing. In: International Society for Optics and Photonics, SPIE (2014)

    Google Scholar 

  12. Song, Y., Yang, Z., Liu, Y., Deng, J.: Function representation based slicer for 3D printing. J. Comput. Aided Geom. Des. 62, 276–293 (2018)

    Article  MathSciNet  Google Scholar 

  13. Li, Q., Hong, Q., Qi, Q., Ma, X., Han, X., Tian, J.: Towards additive manufacturing oriented geometric modeling using implicit functions. J. Vis. Comput. Ind. Biomed. Art 1(1), 9 (2018)

    Article  Google Scholar 

  14. Hong, Q., et al.: Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. J. Comput. Aided Geom. Des. 62, 206–216 (2018)

    Article  MathSciNet  Google Scholar 

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Correspondence to Qingqi Hong .

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Wang, B., Ge, Q., Hong, Q., Li, Y., Liu, K., Jiang, Z. (2019). Vascular Model Editing for 3D Printing Based on Implicit Functions. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_15

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  • DOI: https://doi.org/10.1007/978-981-13-9917-6_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9916-9

  • Online ISBN: 978-981-13-9917-6

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