nach oben

International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.12.2016 | Original Article

Custom implant design for large cranial defects

verfasst von: Filipe M. M. Marreiros, Y. Heuzé, M. Verius, C. Unterhofer, W. Freysinger, W. Recheis

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 12/2016

Einloggen, um Zugang zu erhalten

Abstract

Purpose

The aim of this work was to introduce a computer-aided design (CAD) tool that enables the design of large skull defect (>100 \(\mathrm{cm}^2\)) implants. Functional and aesthetically correct custom implants are extremely important for patients with large cranial defects. For these cases, preoperative fabrication of implants is recommended to avoid problems of donor site morbidity, sufficiency of donor material and quality. Finally, crafting the correct shape is a non-trivial task increasingly complicated by defect size.

Methods

We present a CAD tool to design such implants for the neurocranium. A combination of geometric morphometrics and radial basis functions, namely thin-plate splines, allows semiautomatic implant generation. The method uses symmetry and the best fitting shape to estimate missing data directly within the radiologic volume data. In addition, this approach delivers correct implant fitting via a boundary fitting approach.

Results

This method generates a smooth implant surface, free of sharp edges that follows the main contours of the boundary, enabling accurate implant placement in the defect site intraoperatively. The present approach is evaluated and compared to existing methods. A mean error of 89.29 % (72.64–100 %) missing landmarks with an error less or equal to 1 mm was obtained.

Conclusion

In conclusion, the results show that our CAD tool can generate patient-specific implants with high accuracy.

Parthasarathy J (2014) 3D modeling, custom implants and its future perspectives in craniofacial surgery. Ann Maxillofac Surg 4(1):9–18CrossRefPubMedPubMedCentral

Liao YL, Lu CF, Wu CT, Lee JD, Lee ST, Sun YN, Wu YT (2013) Using three-dimensional multigrid-based snake and multiresolution image registration for reconstruction of cranial defect. Med Biol Eng Comput 51(19):89–101CrossRefPubMed

Rotaru H, Stan H, Florian IS, Schumacher R, Park YT, Kim SG, Chezan H, Balc N, Baciut M (2012) Cranioplasty with custom-made implants: analyzing the cases of 10 patients. J Oral Maxillofac Surg 70(2):169–176CrossRef

Liao YL, Lu CF, Sun YN, Wu CT, Lee JD, Lee ST, Wu YT (2011) Three-dimensional reconstruction of cranial defect using active contour model and image registration. Med Biol Eng Comput 49(2):203–211CrossRefPubMed

Lüthi M, Albrecht T, Vetter T (2009) Building shape models from lousy data. MICCAI LNCS 5762:1–8

Wu T, Engelhardt M, Fieten L, Popovic A, Radermacher K (2006) Anatomically constrained deformation for design of cranial implant: Methodology and validation. MICCAI LNCS 4190:9–16

Hierl T, Wollny G, Schulze FP, Scholz E, Schmidt JG, Berti G, Hendricks J, Hemprich A (2006) CAD-CAM implants in esthetic and reconstructive craniofacial surgery. J Comput Inf Technol 1:65–70CrossRef

Dean D, Min KJ, Bond A (2003) Computer aided design of pre-fabricated cranial plates. J Craniofac Surg 14:819–832CrossRefPubMed

Min KJ, Dean D (2003) Highly accurate CAD tools for cranial implants. MICCAI LNCS 2878:99–107

10.

Min KJ, (2003) Computer aided design of cranial implants using deformable templates, PhD thesis, Case Western Reserve University, Cleveland Ohio

11.

Eufinger H, Saylor B (2001) Computer-assisted prefabrication of individual craniofacial implants. AORN J 74:648–654CrossRefPubMed

12.

Hsu J, Tseng C (2001) Application of three-dimensional orthogonal neural network to craniomaxillary reconstruction. Comput Med Imaging Graph 25:477–482CrossRefPubMed

13.

Hsu J, Tseng C (2000) Application of three-dimensional orthogonal neural network to craniomaxillary reconstruction. J Med Eng Technol 24:262–266CrossRefPubMed

14.

Carr JC, Fright WR, Beatson RK (1997) Surface interpolation with radial basis functions for medical imaging. IEEE Trans Med Imaging 16:96–107CrossRefPubMed

15.

Wehmöller M, Eufinger H, Kruse D, Massberg W (1995) CAD by processing of computed tomography data and CAM of individually designed prostheses. Int J Oral Maxillofac Surg 24:90–97CrossRefPubMed

16.

Bookstein FL (1991) Morphometric tools for landmark data: geometry and biology. cambridge University Press, Cambridge

17.

Slice DE (2005) Modern morphometrics in physical anthropology. Kluwer Academic-Prenum Publishers, New YorkCrossRef

18.

Stegmann MB, Gomez DD (2002) A brief introduction to statistical shape analysis, technical report, informatics and mathematical modelling. Technical University of Denmark, DTU, Copenhagen

19.

Carr JC, Beatson RK, Cherrie JB, Mitchell TJ, Fright WR, McCallum BC, Evans TR, (2001) Reconstruction and representation of 3D objects with radial basis functions. Computer Graphics (SIGGRAPH 01 Conf. Proc.), :67–76

20.

Heuzé Y, Marreiros FMM, Verius M, Eder R, Huttary R, Recheis W (2008) The use of procrustes average shape in the design of custom implant surface for large skull defects. Int J Comput Assist Radiol Surg 3(1):283–284

21.

Bookstein FL (1989) Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans Pattern Anal Mach Intell 6:567–585CrossRef

22.

Bookstein FL (1997) Landmark methods for forms without landmarks: morphometrics of group differences in outline shape. Med Image Anal 1:225–243CrossRefPubMed

23.

Gunz P, Mitteroecker P, Bookstein FL (2005) Semilandmarks in three dimensions. In: Modern morphometrics in physical anthropology. Kluwer Academic/Plenum Publishers, New York, pp 73–98

24.

Rohlf FJ, Slice D (1990) Extensions of the procrustes method for the optimal superimposition of landmarks. Syst Zool 39:40–59CrossRef

25.

Schroeder W, Martin K, Lorensen B (1997) The visualization toolkit: an object-oriented approach to 3D graphics. Prentice Hall, New Jersey

26.

Rosenfeld A, Pfaltz JL (1966) Sequential operations in digital picture processing. J ACM 13(4):471–494CrossRef

27.

Shapiro LG, Stockman GC (2002) Computer vision. Prentice Hall, New Jersey

28.

Moore-Jansen PH, Ousely SD, Jantz R (1994) Data collection procedures for forensic skeletal material. University of tennessee Forensic Anthropology Series, Tennessee

29.

Aeillo L, Dean C (1990) An introduction to human evolutionary anatomy. Academic Press, London

30.

Drebin RA, Carpenter L, Hanrahan P (1988) Volume rendering. Comput Graphics 22(4):65–74

31.

Levoy M (1988) Display of surfaces from volume data. IEEE Comput Graphics Appl 8(3):29–37CrossRef

32.

Levoy M (1990) Efficient ray tracing of volume data. ACM Trans Graph 9:245–261CrossRef

33.

Sobel I, Feldman G (1968) A \(3 \times 3\) isotropic gradient operator for image processing. https://www.researchgate.net/publication/239398674_An_Isotropic_3_3_Image_Gradient_Operator

34.

Deutsch ES (1972) Thinning algorithms on rectangular, hexagonal, and triangular arrays. Commun ACM 15:827–837CrossRef

35.

Nyquist H (1928) Certain topics in telegraph transmission theory. Trans Am Inst Elect Eng 47:617–644CrossRef

36.

Shannon CE (1949) Communication in the presence of noise. Proc of the IRE 37(1):10–21CrossRef

37.

Jin X, Sun H, Peng Q (2003) Subdivision interpolating implicit surfaces. Comput Graphics 27:763–772CrossRef

38.

Poukens J, Laeven P, Beerens M, Nijenhuis G, Sloten JV, Stoelinga P, Kessler P (2008) A classification of cranial implants based on the degree of difficulty in computer design and manufacture. Int J Med Robot Comput Assist Surg 4:46–50CrossRef

39.

Turk G, O’Brien JF (2002) Modelling with implicit surfaces that interpolate. ACM Trans Graph 21:855–873CrossRef

Titel: Custom implant design for large cranial defects
verfasst von: Filipe M. M. Marreiros
Y. Heuzé
M. Verius
C. Unterhofer
W. Freysinger
W. Recheis
Publikationsdatum: 01.12.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 12/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1454-8

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Custom implant design for large cranial defects

Abstract

Purpose

Methods

Results

Conclusion

Neu im Fachgebiet Radiologie

Akuter Schwindel: Wann lohnt sich eine MRT?

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

S3-Leitlinie zu Pankreaskrebs aktualisiert

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

Update Radiologie

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 12/2016

NOViSE: a virtual natural orifice transluminal endoscopic surgery simulator

Automatic path proposal computation for CT-guided percutaneous liver biopsy

Radiographic reconstruction of lower-extremity bone fragments: a first trial

Comparison of the accuracy between robot-assisted and conventional freehand pedicle screw placement: a systematic review and meta-analysis

A methodological, task-based approach to Procedure-Specific Simulations training

CT-based automated planning of acetabular cup for total hip arthroplasty (THA) based on hybrid use of two statistical atlases

Neu im Fachgebiet Radiologie

Akuter Schwindel: Wann lohnt sich eine MRT?

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

S3-Leitlinie zu Pankreaskrebs aktualisiert

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

Update Radiologie