• J. Y. Choi, J. H. Choi, N. K. Kim, Y. Kim, J. K. Lee, M. K. Kim, J. H. Lee, and M. J. Kim, “Analysis of errors in medical rapid prototyping models,” International journal of oral and maxillofacial surgery, vol. 31, iss. 1, pp. 23-32, 2002.
      author = {Choi, J.Y. and Choi, J.H. and Kim, N.K. and Kim, Y. and Lee, J.K.
      and Kim, M.K. and Lee, J.H. and Kim, M.J.},
      title = {Analysis of errors in medical rapid prototyping models},
      journal = {International journal of oral and maxillofacial surgery},
      year = {2002},
      volume = {31},
      pages = {23 - 32},
      number = {1},
      file = {Choi2002.pdf:Choi2002.pdf:PDF},
      issn = {0901-5027},
      keywords = {TRM, CMS},
      owner = {Thomas},
      publisher = {Elsevier},
      timestamp = {2011.02.15}
  • H. Handels, “An orthopaedic atlas for the 3D operation planning and the virtual construction of endoprostheses in computer assisted orthopaedic surgery,” International Congress Series, vol. 1230, pp. 325-330, 2001.
      author = {Handels, H},
      title = {An orthopaedic atlas for the 3D operation planning and the virtual
      construction of endoprostheses in computer assisted orthopaedic surgery},
      journal = {International Congress Series},
      year = {2001},
      volume = {1230},
      pages = {325 - 330},
      month = {June},
      abstract = {This paper describes the structure of an orthopaedic atlas of the
      hip for the 3D operation planning. Furthermore, methods to transfer
      the atlas information to patient data sets are presented and evaluated.
      The atlas is used for the automatic recognition of anatomical structures
      that are needed during the virtual pre-operative planning of hip
      operations and the individual design of anatomically adaptable endoprostheses.
      The atlas based recognition method was evaluated using three manually
      pre-segmented 3D CT data sets of the hip. The mean, 98.2\% of the
      bony voxels could be labeled correctly by the atlas based method.
      D 2001 Elsevier Science B.V. All rights reserved.},
      file = {Handels2001a.pdf:Handels2001a.pdf:PDF},
      issn = {05315131},
      keywords = {atlas,non-rigid registration,operation planning,pattern recognition},
      owner = {thomaskroes},
      timestamp = {2010.10.22}
  • C. Hansen, S. Zidowitz, A. Schenk, K. -J. Oldhafer, H. Lang, and H. -O. Peitgen, “Risk maps for navigation in liver surgery,” Imaging, vol. 7625, p. 762528–762528–8, 2010.
      author = {Hansen, C. and Zidowitz, S. and Schenk, A. and Oldhafer, K.-J. and
      Lang, H. and Peitgen, H.-O.},
      title = {Risk maps for navigation in liver surgery},
      journal = {Imaging},
      year = {2010},
      volume = {7625},
      pages = {762528--762528--8},
      abstract = {The optimal transfer of preoperative planning data and risk evaluations
      to the operative site is challenging. A common practice is to use
      preoperative 3D planning models as a printout or as a presentation
      on a display. One important aspect is that these models were not
      developed to provide information in complex workspaces like the operating
      room. Our aim is to reduce the visual complexity of 3D planning models
      by mapping surgically relevant information onto a risk map. Therefore,
      we present methods for the identification and classification of critical
      anatomical structures in the proximity of a preoperatively planned
      resection surface. Shadow-like distance indicators are introduced
      to encode the distance from the resection surface to these critical
      structures on the risk map. In addition, contour lines are used to
      accentuate shape and spatial depth. The resulting visualization is
      clear and intuitive, allowing for a fast mental mapping of the current
      resection surface to the risk map. Preliminary evaluations by liver
      surgeons indicate that damage to risk structures may be prevented
      and patient safety may be enhanced using the proposed methods.},
      file = {Hansen2010b.pdf:Hansen2010b.pdf:PDF},
      keywords = {computer-assisted interventions,image-guided surgery,intraoperative
      visualization,surgical navigation, APP, HES, PLA, SUR},
      owner = {thomaskroes},
      timestamp = {2010.10.22}
  • K. Mühler and B. Preim, Automatic Textual Annotation for Surgical Planning, Citeseer.
      title = {Automatic Textual Annotation for Surgical Planning},
      publisher = {Citeseer},
      author = {M{\\"u}hler, K. and Preim, B.},
      file = {Muhler2009.pdf:Muhler2009.pdf:PDF},
      owner = {Th},
      timestamp = {2011.03.04}
  • R. Petzold, H. -F. Zeilhofer, and W. a. Kalender, “Rapid prototyping technology in medicine—basics and applications,” Computerized Medical Imaging and Graphics, vol. 23, iss. 5, pp. 277-284, 1999.
      author = {Petzold, R. and Zeilhofer, H.-F. and Kalender, W.a.},
      title = {Rapid prototyping technology in medicine—basics and applications},
      journal = {Computerized Medical Imaging and Graphics},
      year = {1999},
      volume = {23},
      pages = {277-284},
      number = {5},
      month = {October},
      abstract = {Using medical models built with Rapid Prototyping (RP) technologies
      represents a new approach for surgical planning and simulation. These
      techniques allow one to reproduce anatomical objects as 3D physical
      models, which give the surgeon a realistic impression of complex
      structures before a surgical intervention. The shift from the visual
      to the visual-tactile representation of anatomical objects introduces
      a new kind of interaction called ‘touch to comprehend’. As can be
      seen, from the presented case studies of maxillo-cranio-facial surgery,
      the RP models are very well suited for use in the diagnosis and the
      precise preoperative simulation of skeleton modifying interventions.
      file = {Petzold1999.pdf:Petzold1999.pdf:PDF},
      issn = {08956111},
      keywords = {computer-aided surgery,cranio-maxillo-facial surgery,medical models,rapid
      prototyping technology,stereolithography, REV, RPP},
      owner = {thomaskroes},
      timestamp = {2010.10.22}
  • F. Rengier, a Mehndiratta, H. von Tengg-Kobligk, C. M. Zechmann, R. Unterhinninghofen, H-U. Kauczor, and F. L. Giesel, “3D printing based on imaging data: review of medical applications.,” International journal of computer assisted radiology and surgery, vol. 5, iss. 4, pp. 335-41, 2010.
      author = {Rengier, F and Mehndiratta, a and von Tengg-Kobligk, H and Zechmann,
      C M and Unterhinninghofen, R and Kauczor, H-U and Giesel, F L},
      title = {3D printing based on imaging data: review of medical applications.},
      journal = {International journal of computer assisted radiology and surgery},
      year = {2010},
      volume = {5},
      pages = {335-41},
      number = {4},
      month = {July},
      abstract = {PURPOSE: Generation of graspable three-dimensional objects applied
      for surgical planning, prosthetics and related applications using
      3D printing or rapid prototyping is summarized and evaluated. MATERIALS
      AND METHODS: Graspable 3D objects overcome the limitations of 3D
      visualizations which can only be displayed on flat screens. 3D objects
      can be produced based on CT or MRI volumetric medical images. Using
      dedicated post-processing algorithms, a spatial model can be extracted
      from image data sets and exported to machine-readable data. That
      spatial model data is utilized by special printers for generating
      the final rapid prototype model. RESULTS: Patient-clinician interaction,
      surgical training, medical research and education may require graspable
      3D objects. The limitations of rapid prototyping include cost and
      complexity, as well as the need for specialized equipment and consumables
      such as photoresist resins. CONCLUSIONS: Medical application of rapid
      prototyping is feasible for specialized surgical planning and prosthetics
      applications and has significant potential for development of new
      medical applications.},
      file = {Rengier2010.pdf:Rengier2010.pdf:PDF},
      issn = {1861-6429},
      keywords = {and implants,computer-assisted image,medical education,patient care,prostheses,rapid
      prototyping, REV, RPP},
      owner = {thomaskroes},
      pmid = {20467825},
      timestamp = {2010.10.22}
  • F. Ritter, B. Berendt, B. Fischer, R. Richter, and B. Preim, “Virtual 3D Jigsaw Puzzles : Studying the Effect of Exploring Spatial Relations with Implicit Guidance,” , 2000.
      author = {Ritter, Felix and Berendt, Bettina and Fischer, Berit and Richter,
      Robert and Preim, Bernhard},
      title = {Virtual 3D Jigsaw Puzzles : Studying the Effect of Exploring Spatial
      Relations with Implicit Guidance},
      year = {2000},
      abstract = {This paper investigates the engaging concept of virtual 3D jigsaw
      puzzles to foster the understanding of spa- tial relations within
      technical or biological systems by means of virtual models. Employing
      an application in anatomy education, it answers the question: How
      does guided spatial exploration, arising while composing a 3D jigsaw,
      affect the acquisition of spatial-functional understanding in virtual
      learning environments (VLE)? In this study, 16 physiotherapy students
      were interviewed before and immediately after using either a virtual
      3D jigsaw puzzle enabled VLE or a simplified version without the
      interaction specific to the 3D jigsaw con- cept. Results indicate
      that students using the jigsaw-enabled VLE achieved a significant
      better understanding of the spatial and functional correlations illustrated
      by the model. These findings suggest that the concept of a 3D jigsaw
      puzzle, with its implicit guidance, facilitates and advances learner’s
      understanding of spatial corre- lations and related functionality.},
      file = {Ritter2000.pdf:Ritter2000.pdf:PDF},
      owner = {thomaskroes},
      timestamp = {2010.10.25}
  • K. Schichob, M. Figl, R. Seemann, R. Ewers, J. T. Lambrecht, A. Wagner, F. Watzinger, A. Baumann, F. Kainberger, J. Fruehwald, and others, “Accuracy of treatment planning based on stereolithography in computer assisted surgery,” Medical Physics, vol. 33, iss. 9, 2006.
      author = {Schichob, K. and Figl, M. and Seemann, R. and Ewers, R. and Lambrecht,
      J.T. and Wagner, A. and Watzinger, F. and Baumann, A. and Kainberger,
      F. and Fruehwald, J. and others},
      title = {Accuracy of treatment planning based on stereolithography in computer
      assisted surgery},
      journal = {Medical Physics},
      year = {2006},
      volume = {33},
      number = {9},
      file = {Schichob2006.pdf:Schichob2006.pdf:PDF},
      keywords = {RPP, CMS},
      owner = {Thomas},
      timestamp = {2011.02.23}


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