The role of advanced 3D reconstruction as a tool for anatomic model visualization and surgical planning

Congress:

ECR 2020

Poster Number:

C-02795

Type:

Educational Exhibit

Keywords:

Performed at one institution, Not applicable, Tissue characterisation, Image registration, Education and training, Technical aspects, Computer Applications-Virtual imaging, Computer Applications-3D, PET-CT, MR, CT, Vascular, Oncology, Computer applications, Imaging Informatics

Authors:

H. Guenka, T. Sacramento, L. G. Brites, I. Gottlieb, P. B. Villar do Valle, E. Labrunie, P. Possetti, F. Mattos Silva dos Santos, G. Zorzanelli Scaramussa; Rio de Janeiro/BR

DOI:

10.26044/ecr2020/C-02795

DOI-Link:

https://dx.doi.org/10.26044/ecr2020/C-02795

Fig. 1: Advanced 3D reconstruction images and movies.

Fig. 2: Learning objectives.

Fig. 3: Background.

Fig. 4: Findings.

Fig. 5: Process.

Fig. 6: Virtual reality headset: advanced visualization and the hybrid surgical room.

Learning objectives

• To introduce a new advanced technique of reconstructing 3D images from CT and MRI data. • To provide an overview on the process of converting volume data into 3D images and then into advanced visualization models through the application of texture and light shades using an alternative rendering technique. • To illustrate the potential clinical and surgical advantages of using advanced 3D reconstruction.

Background

The development of proper reconstruction and image segmentation algorithms aims at increasing precision when identifying anatomic structures and localizing of pathologies through advanced 3D reconstruction. This new reconstruction algorithm provides photorealistic volume rendering, therefore conferring depth and shade perceptions to the images.

Findings and procedure details

Stereolithography, or 3D printing, first developed in 80s by an engineering physics1using digital model to develop a 3D object2by fusing or depositing materials. These matrials are plastic, metal, ceramics, powders, liquids, or even living cells, always in layers. Automotive industry have used it for decades, as well as medicine in the last years have uses to produce anatomical models and customised prothesis. This technology helps the radiologist to have a better communication3 and description of the pathologies to the clinicians and surgeons, in cardiovascular diseases,...

Conclusion

Advanced 3D reconstruction technique provides an easier understanding and localization of pathologies with a simple 2D image that looks like a real object, in this particular case, like a real organ. The 3D printed models aids surgical planning and reduce surgical time minimising peri and post operative complications, improving patient recovery. It allows a perfect reproduction of patient’s anatomy and pathology. But the prototyping time, which includes both printing and postprocessing, may take at least 30 h, depending on the required technology and the dimension...

Personal information and conflict of interest

Thatiana Cristina Gomes Sacramento*; Rio de Janeiro/BR - nothing to disclose (presenter and co-author). Larissa Gullo Brites*; Rio de Janeiro/BR - nothing to disclose (co-author). Priscila Possetti*; Rio de Janeiro/BR - nothing to disclose (co-author). Flavia Mattos Silva Dos Santos*; Rio de Janeiro/BR - nothing to disclose (co-author). Paulo Biaso Villar Do Valle*; Rio de Janeiro/BR - nothing to disclose (co-author). Guilherme Zorzanelli Scaramussa*; Rio de Janeiro/BR - nothing to disclose (co-author). Ester Moraes Labrunie*; Rio de Janeiro/BR - nothing to disclose (co-author). Ilan Gottlieb**;...

References

Ventola CL. Medical applications for 3D printing: current and projected uses. P&T. 2014. Mitsouras D, Liacouras P, Imanzadeh A, Giannopoulos AA, Cai T, Kumamamaro KK, et al. Medical 3D printing for the radiologist. RadioGraphics. 2015; 35:1965-1988. Friedman T, Michalski M, Goodman TR, Brown JE. 3D printing from diagnostic images: a radiologist’s primer with an emphasis on musculoskeletal imaging – putting the 3D printing into the hands of every physician. Skeletal Radiol. 2016; 45: 307. Matsumoto JS, Morris JM, Foley TA, Williamson EE, Leng S, McGee...