@inproceedings{SeimKainmuellerKussetal.2008, author = {Seim, Heiko and Kainm{\"u}ller, Dagmar and Kuss, Anja and Lamecker, Hans and Zachow, Stefan and Menzel, Randolf and Rybak, Juergen}, title = {Model-based autosegmentation of the central brain of the honeybee, Apis mellifera, using active statistical shape models}, booktitle = {Proc. 1st INCF Congress of Neuroinformatics: Databasing and Modeling the Brain}, doi = {10.3389/conf.neuro.11.2008.01.064}, year = {2008}, language = {en} } @article{SahnerWeberLameckeretal.2008, author = {Sahner, Jan and Weber, Britta and Lamecker, Hans and Prohaska, Steffen}, title = {Extraction of feature Lines on surface meshes based on discrete Morse theory}, volume = {27}, journal = {Computer Graphics Forum}, number = {3}, address = {Eindhoven, Netherlands}, doi = {10.1111/j.1467-8659.2008.01202.x}, pages = {735 -- 742}, year = {2008}, language = {en} } @inproceedings{ZilskeLameckerZachow2008, author = {Zilske, Michael and Lamecker, Hans and Zachow, Stefan}, title = {Adaptive Remeshing of Non-Manifold Surfaces}, booktitle = {Eurographics 2008 Annex to the Conf. Proc.}, pages = {207 -- 211}, year = {2008}, language = {en} } @inproceedings{SeimLameckerZachow2008, author = {Seim, Heiko and Lamecker, Hans and Zachow, Stefan}, title = {Segmentation of Bony Structures with Ligament Attachment Sites}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2008}, publisher = {Springer}, doi = {10.1007/978-3-540-78640-5_42}, pages = {207 -- 211}, year = {2008}, language = {en} } @article{LameckerKamerWittmersetal.2007, author = {Lamecker, Hans and Kamer, Lukas and Wittmers, Antonia and Zachow, Stefan and Kaup, Thomas and Schramm, Alexander and Noser, Hansrudi and Hammer, Beat}, title = {A method for the three-dimensional statistical shape analysis of the bony orbit}, journal = {Proc. Computer Aided Surgery around the Head}, pages = {94 -- 97}, year = {2007}, language = {en} } @inproceedings{LangeLameckerHuenerbeinetal.2007, author = {Lange, Thomas and Lamecker, Hans and H{\"u}nerbein, Michael and Eulenstein, Sebastian and Beller, Sigfried and Schlag, Peter}, title = {A new class of distance measures for registration of tubular models to image data}, booktitle = {Proc. Bildverarbeitung f{\"u}r die Medizin (BVM)}, editor = {Horsch, A.}, publisher = {Springer}, doi = {10.1007/978-3-540-71091-2_21}, pages = {101 -- 105}, year = {2007}, language = {en} } @article{KainmuellerLameckerSeimetal.2009, author = {Kainm{\"u}ller, Dagmar and Lamecker, Hans and Seim, Heiko and Zachow, Stefan}, title = {Multi-object segmentation of head bones}, journal = {MIDAS Journal}, year = {2009}, language = {en} } @inproceedings{SeimKainmuellerLameckeretal.2009, author = {Seim, Heiko and Kainm{\"u}ller, Dagmar and Lamecker, Hans and Zachow, Stefan}, title = {A System for Unsupervised Extraction of Orthopaedic Parameters from CT Data}, booktitle = {GI Workshop Softwareassistenten - Computerunterst{\"u}tzung f{\"u}r die medizinische Diagnose und Therapieplanung}, address = {L{\"u}beck, Germany}, pages = {1328 -- 1337}, year = {2009}, language = {en} } @inproceedings{LameckerMansiRelanetal.2009, author = {Lamecker, Hans and Mansi, Tomaso and Relan, Jatin and Billet, Florence and Sermesant, Maxime and Ayache, Nicholas and Delingette, Herv{\´e}}, title = {Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations}, booktitle = {Proc. MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (CI2BM)}, pages = {149 -- 158}, year = {2009}, language = {en} } @article{LangeHuenerbeinEulensteinetal.2007, author = {Lange, Thomas and H{\"u}nerbein, Michael and Eulenstein, Sebastian and Beller, Sigfried and Schlag, Peter and Lamecker, Hans}, title = {A Distance Measure for Non-Rigid Registration of Geometrical Models to Intensity Data}, volume = {2, Suppl. 1}, journal = {Int. J. Computer Assisted Radiology and Surgery}, publisher = {Springer}, pages = {204 -- 206}, year = {2007}, language = {en} } @article{KainmuellerLangeLamecker2007, author = {Kainm{\"u}ller, Dagmar and Lange, Thomas and Lamecker, Hans}, title = {Shape constrained automatic segmentation of the liver based on a heuristic intensity model}, journal = {Proc. MICCAI Workshop 3D Segmentation in the Clinic}, pages = {109 -- 116}, year = {2007}, language = {en} } @inproceedings{LangeWenckebachLameckeretal.2005, author = {Lange, Thomas and Wenckebach, Thomas and Lamecker, Hans and Seebaß, Martin and H{\"u}nerbein, Michael and Eulenstein, Sebastian and Schlag, Peter-Michael}, title = {Registration of different phases of contrast-enhanced CT/MRI data for computer-assisted liver surgery planning}, volume = {1 (3)}, booktitle = {Int. J. Medical Robotics and Computer Assisted Surgery}, publisher = {Wiley}, doi = {10.1002/rcs.23}, pages = {6 -- 20}, year = {2005}, language = {en} } @misc{KamerNoserLameckeretal.2006, author = {Kamer, Lukas and Noser, Hansrudi and Lamecker, Hans and Zachow, Stefan and Wittmers, Antonia and Kaup, Thomas and Schramm, Alexander and Hammer, Beat}, title = {Three-dimensional statistical shape analysis - A useful tool for developing a new type of orbital implant?}, publisher = {AO Development Institute, New Products Brochure 2/06}, pages = {20 -- 21}, year = {2006}, language = {en} } @article{HaberlHellZoeckleretal.2004, author = {Haberl, Hannes and Hell, Bertold and Z{\"o}ckler, Maja and Zachow, Stefan and Lamecker, Hans and Sarrafzadeh, Asita and Riecke, B. and Langsch, Wolfgang and Deuflhard, Peter and Bier, J{\"u}rgen and Brock, Mario}, title = {Technical aspects and results of surgery for craniosynostosis}, volume = {65}, journal = {Zentralblatt f{\"u}r Neurochirurgie}, number = {2}, pages = {65 -- 74}, year = {2004}, language = {en} } @inproceedings{LangeWenckebachSeebassetal.2004, author = {Lange, Thomas and Wenckebach, Thomas and Seebaß, Martin and Lamecker, Hans and H{\"u}nerbein, Michael}, title = {Registration of different phases of contrast-enhanced MR data for liver surgery}, booktitle = {3. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer-Roboterassistierte Chirurgie CURAC}, year = {2004}, language = {en} } @inproceedings{LangeEulensteinHuenerbeinetal.2004, author = {Lange, Thomas and Eulenstein, Sebastian and H{\"u}nerbein, Michael and Lamecker, Hans and Schlag, Peter-Michael}, title = {Augmenting intraoperative 3D ultrasound with preoperative models for navigation in liver surgery}, booktitle = {Proceedings MICCAI}, editor = {Barrilot, Christian}, publisher = {Springer}, pages = {543 -- 541}, year = {2004}, 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} } @article{TodtLameckerRammetal.2014, author = {Todt, Ingo and Lamecker, Hans and Ramm, Heiko and Frenzel, Henning and Wollenberg, Barbara and Beleites, Thomas and Zahnert, Thomas and Thomas, Jan Peter and Dazert, Stefan and Ernst, Arneborg}, title = {Entwicklung eines CT-Daten-basierten Vibrant-Bonebridge-Viewers}, volume = {62}, journal = {HNO}, publisher = {Springer}, doi = {10.1007/s00106-014-2851-3}, pages = {439 -- 442}, year = {2014}, abstract = {Die Positionierung des B-FMT der Vibrant Bonebridge kann aufgrund der anatomischen Verh{\"a}ltnisse des Mastoids und der Gr{\"o}ße des Aktuators ohne eine vorherige Beurteilung der individuellen Computertomographie (CT) des Felsenbeins problematisch sein. Die Entwicklung eines einfach zu bedienenden Viewers, welcher eine Positionierung des B-FMT im Felsenbeinmodell erm{\"o}glicht und hier auf individuelle potenzielle anatomische Konflikte hinweist sowie L{\"o}sungsm{\"o}glichkeiten anbietet, kann ein hilfreiches Werkzeug zur pr{\"a}operativen Positionierung sein. Ziel der Arbeit war die Definition von Anforderungen und die Anfertigung eines Prototyps eines Vibrant-Bonebridge-Viewers. Auf der Basis einer ZIBAmira-Software-Version und der Inklusion eines B-FMT-Modells unter Erstellung eines Felsenbeinmodells, welches die intuitive Beurteilung von Konflikten erm{\"o}glicht, erfolgte die Erstellung des Prototyps eines Vibrant-Bonebridge-Viewers.Ergebnisse. Die Segmentierungszeit der individuellen DICOM-Daten („digital imaging and communications in medicine") betr{\"a}gt etwa 5 min. Eine Positionierung im individuellen 3-D-Felsenbeinmodell erm{\"o}glicht die quantitative und qualitative Beurteilung von Konflikten (Sinus sigmoideus, mittlere Sch{\"a}delgrube) und das Aufsuchen einer bevorzugten Position. Das Anheben des B-FMT mittels virtueller Unterlegscheiben kann simuliert werden. Der erstellte Vibrant-Bonebridge-Viewer erm{\"o}glicht verl{\"a}sslich eine Simulation der B-FMT-Positionierung. Die klinische Anwendbarkeit muss evaluiert werden.}, language = {de} } @article{TodtLameckerRammetal.2014, author = {Todt, Ingo and Lamecker, Hans and Ramm, Heiko and Ernst, Arneborg}, title = {A computed tomographic data-based vibrant bonebridge visualization tool}, volume = {15}, journal = {Cochlear Implants International}, number = {S1}, doi = {10.1179/1467010014Z.000000000155}, pages = {72 -- 74}, year = {2014}, abstract = {Information about the temporal bone size and variations of anatomical structures are crucial for a safe positioning of the Vibrant Bonebridge B-FMT. A radiological based preoperative planning of the surgical procedure decreases the surgical time and minimizes the risk of complications. We developed a software tool, which allows a catch up of foreign DICOM data based CT temporal bone scans. The individual CT scan is transmitted into a 3D reconstructed pattern of the temporal bone. In this 3D reconstruction the individually favored position of the B- FMT should be found. The software allows a determination of a safe B-FMT position by identifying the individual relation of middle fossa, jugular bulb and external auditory canal. Skull thickness and screw length are contained parameters for the surgical planning. An easy to handle software tool allows a radiologically data based safe and fast surgical positioning of the B-FMT.}, language = {en} } @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} } @inproceedings{MukhopadhyayMorilloZachowetal.2016, author = {Mukhopadhyay, Anirban and Morillo, Oscar and Zachow, Stefan and Lamecker, Hans}, title = {Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative}, volume = {9993}, booktitle = {Lecture Notes in Computer Science, Patch-Based Techniques in Medical Imaging. Patch-MI 2016}, doi = {10.1007/978-3-319-47118-1_4}, pages = {25 -- 33}, year = {2016}, abstract = {Deformable model-based approaches to 3D image segmentation have been shown to be highly successful. Such methodology requires an appearance model that drives the deformation of a geometric model to the image data. Appearance models are usually either created heuristically or through supervised learning. Heuristic methods have been shown to work effectively in many applications but are hard to transfer from one application (imaging modality/anatomical structure) to another. On the contrary, supervised learning approaches can learn patterns from a collection of annotated training data. In this work, we show that the supervised joint dictionary learning technique is capable of overcoming the traditional drawbacks of the heuristic approaches. Our evaluation based on two different applications (liver/CT and knee/MR) reveals that our approach generates appearance models, which can be used effectively and efficiently in a deformable model-based segmentation framework.}, 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} } @misc{EhlkeFrenzelRammetal.2014, author = {Ehlke, Moritz and Frenzel, Thomas and Ramm, Heiko and Lamecker, Hans and Akbari Shandiz, Mohsen and Anglin, Carolyn and Zachow, Stefan}, title = {Robust Measurement of Natural Acetabular Orientation from AP Radiographs using Articulated 3D Shape and Intensity Models}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-49824}, year = {2014}, language = {en} } @incollection{LameckerZachow2016, author = {Lamecker, Hans and Zachow, Stefan}, title = {Statistical Shape Modeling of Musculoskeletal Structures and Its Applications}, volume = {23}, booktitle = {Computational Radiology for Orthopaedic Interventions}, publisher = {Springer}, isbn = {978-3-319-23481-6}, doi = {10.1007/978-3-319-23482-3}, pages = {1 -- 23}, year = {2016}, abstract = {Statistical shape models (SSM) describe the shape variability contained in a given population. They are able to describe large populations of complex shapes with few degrees of freedom. This makes them a useful tool for a variety of tasks that arise in computer-aided madicine. In this chapter we are going to explain the basic methodology of SSMs and present a variety of examples, where SSMs have been successfully applied.}, language = {en} } @article{GuentherLameckerWeiser2013, author = {G{\"u}nther, Andreas and Lamecker, Hans and Weiser, Martin}, title = {Flexible Shape Matching with Finite Element Based LDDMM}, volume = {105}, journal = {International Journal of Computer Vision}, number = {2}, doi = {10.1007/s11263-012-0599-3}, pages = {128 -- 143}, year = {2013}, abstract = {We consider Large Deformation Diffeomorphic Metric Mapping of general \$m\$-currents. After stating an optimization algorithm in the function space of admissable morph generating velocity fields, two innovative aspects in this framework are presented and numerically investigated: First, we spatially discretize the velocity field with conforming adaptive finite elements and discuss advantages of this new approach. Second, we directly compute the temporal evolution of discrete \$m\$-current attributes.}, language = {en} }