Skip to main content
Erschienen in: International Journal of Computer Assisted Radiology and Surgery 6/2016

01.06.2016 | Original Article

Comprehensive patient-specific information preprocessing for cardiac surgery simulations

verfasst von: N. Schoch, F. Kißler, M. Stoll, S. Engelhardt, R. de Simone, I. Wolf, R. Bendl, V. Heuveline

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 6/2016

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Patient-specific biomechanical simulations of the behavior of soft tissue gain importance in current surgery assistance systems as they can provide surgeons with valuable ancillary information for diagnosis and therapy. In this work, we aim at supporting minimally invasive mitral valve reconstruction (MVR) surgery by providing scenario setups for FEM-based soft tissue simulations, which simulate the behavior of the patient-individual mitral valve subject to natural forces during the cardiac cycle after an MVR. However, due to the complexity of these simulations and of their underlying mathematical models, it is difficult for non-engineers to sufficiently understand and adequately interpret all relevant modeling and simulation aspects. In particular, it is challenging to set up such simulations in automated preprocessing workflows such that they are both patient-specific and still maximally comprehensive with respect to the model.

Methods

In this paper, we address this issue and present a fully automated chain of preprocessing operators for setting up comprehensive, patient-specific biomechanical models on the basis of patient-individual medical data. These models are suitable for FEM-based MVR surgery simulation. The preprocessing methods are integrated into the framework of the Medical Simulation Markup Language and allow for automated information processing in a data-driven pipeline.

Results

We constructed a workflow for holistic, patient-individual information preprocessing for MVR surgery simulations. In particular, we show how simulation preprocessing can be both fully automated and still patient-specific, when using a series of dedicated MVR data analytics operators. The outcome of our operator chain is visualized in order to help the surgeon understand the model setup.

Conclusion

With this work, we expect to improve the usability of simulation-based MVR surgery assistance, through allowing for fully automated, patient-specific simulation setups. Combined visualization of the biomechanical model setup and of the corresponding surgery simulation results fosters the understandability and transparency of our assistance environment.
Literatur
1.
Zurück zum Zitat Carpentier A, Chauvaud S, Fabiani JN et al (1980) Reconstructive surgery of mitral valve incompetence: ten-year appraisal. J Thorac Cardiovasc Surg 79(3):338–348PubMed Carpentier A, Chauvaud S, Fabiani JN et al (1980) Reconstructive surgery of mitral valve incompetence: ten-year appraisal. J Thorac Cardiovasc Surg 79(3):338–348PubMed
2.
Zurück zum Zitat Choi A, Rim Y, Mun JS, Kim H (2014) A novel finite element-based patient-specific mitral valve repair: virtual ring annuloplasty. Biomed Mater Eng 24(1):341–347PubMedPubMedCentral Choi A, Rim Y, Mun JS, Kim H (2014) A novel finite element-based patient-specific mitral valve repair: virtual ring annuloplasty. Biomed Mater Eng 24(1):341–347PubMedPubMedCentral
3.
Zurück zum Zitat Engelhardt S, Lichtenberg N et al (2015) Towards automaticassessment of the mitral valve coaptation zone from 4D ultrasound. In: Proceedings of FIMH, Lecture notes in compute science, pp 137–145 Engelhardt S, Lichtenberg N et al (2015) Towards automaticassessment of the mitral valve coaptation zone from 4D ultrasound. In: Proceedings of FIMH, Lecture notes in compute science, pp 137–145
4.
Zurück zum Zitat Gonzalez TF (1985) Clustering to minimize the maximum intercluster distance. J Theor Comput Sci 38:293–306CrossRef Gonzalez TF (1985) Clustering to minimize the maximum intercluster distance. J Theor Comput Sci 38:293–306CrossRef
5.
Zurück zum Zitat Anzt H, Augustin W et al (2012) HiFlow3—a hardware-aware parallel finite element package. Tools High Perform Comput 2011:139–151 Anzt H, Augustin W et al (2012) HiFlow3—a hardware-aware parallel finite element package. Tools High Perform Comput 2011:139–151
6.
Zurück zum Zitat Jokinen J, Hippelainen MJ, Pitkaenen OA, Hartikainen JE (2007) Mitral valve replacement versus repair: Propensity-adjusted survival and quality-of-life analysis. Ann Thorac Surg 84(2):451–458CrossRefPubMed Jokinen J, Hippelainen MJ, Pitkaenen OA, Hartikainen JE (2007) Mitral valve replacement versus repair: Propensity-adjusted survival and quality-of-life analysis. Ann Thorac Surg 84(2):451–458CrossRefPubMed
8.
Zurück zum Zitat Mansi T, Voigt I, Georgescu B et al (2012) An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: application to MitralClip intervention planning. Med Image Anal 16(7):1330–1346CrossRefPubMed Mansi T, Voigt I, Georgescu B et al (2012) An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: application to MitralClip intervention planning. Med Image Anal 16(7):1330–1346CrossRefPubMed
9.
Zurück zum Zitat Norajitra T, Meinzer HP, Maier-Hein K (2015) 3D statistical shape models incorporating 3D random forest regression voting for robustCT liver segmentation. In: Proceedings of SPIE 9414 Medical Imaging, 9414-06 Norajitra T, Meinzer HP, Maier-Hein K (2015) 3D statistical shape models incorporating 3D random forest regression voting for robustCT liver segmentation. In: Proceedings of SPIE 9414 Medical Imaging, 9414-06
10.
Zurück zum Zitat Pouch AM, Xu C et al (2012) Semi-automated mitral valve morphometry and computational stress analysis using 3D ultrasound. J Biomech 45(5):903–907CrossRefPubMedPubMedCentral Pouch AM, Xu C et al (2012) Semi-automated mitral valve morphometry and computational stress analysis using 3D ultrasound. J Biomech 45(5):903–907CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Schoch N, Engelhardt S, Zimmermann N et al (2015) Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system. In: Proceedings of SPIE 9415 Medical Imaging, 9415-02 Schoch N, Engelhardt S, Zimmermann N et al (2015) Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system. In: Proceedings of SPIE 9415 Medical Imaging, 9415-02
12.
Zurück zum Zitat Schoch N, Engelhardt S, Simone RD, Wolf I, Heuveline V (2015) High performance computing for cognition-guided cardiac surgery: soft tissue simulation for mitral valve reconstruction in knowledge-based surgery assistance. In: Proceedings of 6th HPSC (submitted) Schoch N, Engelhardt S, Simone RD, Wolf I, Heuveline V (2015) High performance computing for cognition-guided cardiac surgery: soft tissue simulation for mitral valve reconstruction in knowledge-based surgery assistance. In: Proceedings of 6th HPSC (submitted)
13.
Zurück zum Zitat Schoch N, Philipp P, Weller T et al (2016) Cognitive tools pipeline for assistance of mitral valve surgery. In: Proceedings of SPIE 9786 Medical Imaging, 9786-02 Schoch N, Philipp P, Weller T et al (2016) Cognitive tools pipeline for assistance of mitral valve surgery. In: Proceedings of SPIE 9786 Medical Imaging, 9786-02
14.
Zurück zum Zitat Suwelack S, Stoll M, Schalck S, Schoch N et al (2014) The medical simulation markup language—simplifying the biomechanical modeling workflow. J Stud Health Technol Inform 196:394–400 Suwelack S, Stoll M, Schalck S, Schoch N et al (2014) The medical simulation markup language—simplifying the biomechanical modeling workflow. J Stud Health Technol Inform 196:394–400
15.
Zurück zum Zitat Votta E, Le TB, Stevanella M et al (2013) Toward patient-specific simulations of cardiac valves: state-of-the-art and future directions. J Biomech 46(2):217–228CrossRefPubMedPubMedCentral Votta E, Le TB, Stevanella M et al (2013) Toward patient-specific simulations of cardiac valves: state-of-the-art and future directions. J Biomech 46(2):217–228CrossRefPubMedPubMedCentral
Metadaten
Titel
Comprehensive patient-specific information preprocessing for cardiac surgery simulations
verfasst von
N. Schoch
F. Kißler
M. Stoll
S. Engelhardt
R. de Simone
I. Wolf
R. Bendl
V. Heuveline
Publikationsdatum
01.06.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 6/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-016-1397-0

Weitere Artikel der Ausgabe 6/2016

International Journal of Computer Assisted Radiology and Surgery 6/2016 Zur Ausgabe

Guest Editorial

Preface

Update Radiologie

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