@inproceedings{LameckerZoecklerHaberletal.2005, author = {Lamecker, Hans and Z{\"o}ckler, Maja and Haberl, Hannes and Zachow, Stefan and Hege, Hans-Christian}, title = {Statistical shape modeling for craniosynostosis planning}, booktitle = {2nd International Conference Advanced Digital Technology in Head and Neck Reconstruction 2005, Abstract Volume}, address = {Banff, Alberta}, pages = {64}, year = {2005}, language = {en} } @inproceedings{LameckerWenckebachHege2006, author = {Lamecker, Hans and Wenckebach, Thomas and Hege, Hans-Christian}, title = {Atlas-based 3D-shape reconstruction from x-ray images}, volume = {Volume I}, booktitle = {Proc. Int. Conf. of Pattern Recognition (ICPR2006)}, publisher = {IEEE Computer Society}, doi = {10.1109/ICPR.2006.279}, pages = {371 -- 374}, year = {2006}, language = {en} } @inproceedings{LameckerWenckebachHegeetal.2006, author = {Lamecker, Hans and Wenckebach, Thomas and Hege, Hans-Christian and N. Duda, Georg and Heller, Markus}, title = {Atlas-basierte 3D-Rekonstruktion des Beckens aus 2D-Projektionsbildern}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2006: Algorithmen - Systeme - Anwendungen}, publisher = {Springer Berlin Heidelberg}, doi = {10.1007/3-540-32137-3_6}, pages = {26 -- 30}, year = {2006}, language = {en} } @article{LameckerZachowHaberletal.2005, author = {Lamecker, Hans and Zachow, Stefan and Haberl, Hannes and Stiller, Michael}, title = {Medical applications for statistical shape models}, volume = {17 (258)}, journal = {Computer Aided Surgery around the Head, Fortschritt-Berichte VDI - Biotechnik/Medizintechnik}, pages = {61}, year = {2005}, language = {en} } @inproceedings{ZachowLameckerElsholtzetal.2005, author = {Zachow, Stefan and Lamecker, Hans and Elsholtz, Barbara and Stiller, Michael}, title = {Reconstruction of mandibular dysplasia using a statistical 3D shape model}, booktitle = {Proc. Computer Assisted Radiology and Surgery (CARS)}, address = {Berlin, Germany}, doi = {10.1016/j.ics.2005.03.339}, pages = {1238 -- 1243}, year = {2005}, language = {en} } @misc{WilsonBuecherGreweetal.2015, author = {Wilson, David and B{\"u}cher, Pia and Grewe, Carl Martin and Anglin, Carolyn and Zachow, Stefan and Michael, Dunbar}, title = {Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Point Cloud Data}, journal = {15th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS)}, year = {2015}, language = {en} } @phdthesis{Zoeckler2006, author = {Z{\"o}ckler, Maja}, title = {Modellgebundene Cranioplastie - Operationstechnik zur Umformung fr{\"u}hkindlicher Sch{\"a}deldeformit{\"a}ten unter Verwendung dreidimensionaler Standardformmodelle aus MRT-basierten Rekonstruktionen nicht deformierter Kinder}, year = {2006}, language = {de} } @phdthesis{Kubiack2013, author = {Kubiack, Kim}, title = {Erstellung eines statistischen Formmodells des Mittelgesichts zur Planung individueller Templates f{\"u}r die navigationsgest{\"u}tzte Rekonstruktion des Mittelgesichtssch{\"a}dels}, year = {2013}, language = {de} } @article{HochfeldLameckerThomaleetal.2014, author = {Hochfeld, Mascha and Lamecker, Hans and Thomale, Ulrich W. and Schulz, Matthias and Zachow, Stefan and Haberl, Hannes}, title = {Frame-based cranial reconstruction}, volume = {13}, journal = {Journal of Neurosurgery: Pediatrics}, number = {3}, doi = {10.3171/2013.11.PEDS1369}, pages = {319 -- 323}, year = {2014}, abstract = {The authors report on the first experiences with the prototype of a surgical tool for cranial remodeling. The device enables the surgeon to transfer statistical information, represented in a model, into the disfigured bone. The model is derived from a currently evolving databank of normal head shapes. Ultimately, the databank will provide a set of standard models covering the statistical range of normal head shapes, thus providing the required template for any standard remodeling procedure as well as customized models for intended overcorrection. To date, this technique has been used in the surgical treatment of 14 infants (age range 6-12 months) with craniosynostosis. In all 14 cases, the designated esthetic result, embodied by the selected model, has been achieved, without morbidity or mortality. Frame-based reconstruction provides the required tools to precisely realize the surgical reproduction of the model shape. It enables the establishment of a self-referring system, feeding back postoperative growth patterns, recorded by 3D follow-up, into the model design.}, language = {en} } @article{WilsonAnglinAmbellanetal.2017, author = {Wilson, David and Anglin, Carolyn and Ambellan, Felix and Grewe, Carl Martin and Tack, Alexander and Lamecker, Hans and Dunbar, Michael and Zachow, Stefan}, title = {Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty}, volume = {12}, journal = {International Journal of Computer Assisted Radiology and Surgery}, number = {12}, publisher = {Springer}, doi = {10.1007/s11548-017-1630-5}, pages = {2097 -- 2105}, year = {2017}, abstract = {Purpose: Despite the success of total knee arthroplasty there continues to be a significant proportion of patients who are dissatisfied. One explanation may be a shape mismatch between pre and post-operative distal femurs. The purpose of this study was to investigate a method to match a statistical shape model (SSM) to intra-operatively acquired point cloud data from a surgical navigation system, and to validate it against the pre-operative magnetic resonance imaging (MRI) data from the same patients. Methods: A total of 10 patients who underwent navigated total knee arthroplasty also had an MRI scan less than 2 months pre-operatively. The standard surgical protocol was followed which included partial digitization of the distal femur. Two different methods were employed to fit the SSM to the digitized point cloud data, based on (1) Iterative Closest Points (ICP) and (2) Gaussian Mixture Models (GMM). The available MRI data were manually segmented and the reconstructed three-dimensional surfaces used as ground truth against which the statistical shape model fit was compared. Results: For both approaches, the difference between the statistical shape model-generated femur and the surface generated from MRI segmentation averaged less than 1.7 mm, with maximum errors occurring in less clinically important areas. Conclusion: The results demonstrated good correspondence with the distal femoral morphology even in cases of sparse data sets. Application of this technique will allow for measurement of mismatch between pre and post-operative femurs retrospectively on any case done using the surgical navigation system and could be integrated into the surgical navigation unit to provide real-time feedback.}, language = {en} }