Literature DB >> 26579861

Computational Planning in Facial Surgery.

Stefan Zachow1.   

Abstract

This article reflects the research of the last two decades in computational planning for cranio-maxillofacial surgery. Model-guided and computer-assisted surgery planning has tremendously developed due to ever increasing computational capabilities. Simulators for education, planning, and training of surgery are often compared with flight simulators, where maneuvers are also trained to reduce a possible risk of failure. Meanwhile, digital patient models can be derived from medical image data with astonishing accuracy and thus can serve for model surgery to derive a surgical template model that represents the envisaged result. Computerized surgical planning approaches, however, are often still explorative, meaning that a surgeon tries to find a therapeutic concept based on his or her expertise using computational tools that are mimicking real procedures. Future perspectives of an improved computerized planning may be that surgical objectives will be generated algorithmically by employing mathematical modeling, simulation, and optimization techniques. Planning systems thus act as intelligent decision support systems. However, surgeons can still use the existing tools to vary the proposed approach, but they mainly focus on how to transfer objectives into reality. Such a development may result in a paradigm shift for future surgery planning. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Mesh:

Year:  2015        PMID: 26579861     DOI: 10.1055/s-0035-1564717

Source DB:  PubMed          Journal:  Facial Plast Surg        ISSN: 0736-6825            Impact factor:   1.446


  4 in total

1.  Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics.

Authors:  Marc Anton Fuessinger; Steffen Schwarz; Carl-Peter Cornelius; Marc Christian Metzger; Edward Ellis; Florian Probst; Wiebke Semper-Hogg; Mathieu Gass; Stefan Schlager
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-10-28       Impact factor: 2.924

2.  Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.

Authors:  Anupama Goparaju; Krithika Iyer; Alexandre Bône; Nan Hu; Heath B Henninger; Andrew E Anderson; Stanley Durrleman; Matthijs Jacxsens; Alan Morris; Ibolya Csecs; Nassir Marrouche; Shireen Y Elhabian
Journal:  Med Image Anal       Date:  2021-10-26       Impact factor: 8.545

3.  A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery.

Authors:  Paul G M Knoops; Athanasios Papaioannou; Alessandro Borghi; Richard W F Breakey; Alexander T Wilson; Owase Jeelani; Stefanos Zafeiriou; Derek Steinbacher; Bonnie L Padwa; David J Dunaway; Silvia Schievano
Journal:  Sci Rep       Date:  2019-09-19       Impact factor: 4.379

4.  Thickness accuracy of virtually designed patient-specific implants for large neurocranial defects.

Authors:  Claudia Wittner; Markus Borowski; Lukas Pirl; Johann Kastner; Andreas Schrempf; Ute Schäfer; Klemens Trieb; Sascha Senck
Journal:  J Anat       Date:  2021-06-04       Impact factor: 2.610

  4 in total

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