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    <parentTitle language="eng">Proceedings of the 17th Congress on Hyperthermic Oncology</parentTitle>
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    <parentTitle language="eng">Int. Journal Hyperthermia</parentTitle>
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    <parentTitle language="eng">Proc. Hyperthermia in Clincal Oncology</parentTitle>
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    <parentTitle language="eng">Int J Radiat Oncol Biol Phys</parentTitle>
    <author>Johanna Gellermann</author>
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    <author>Detlev Stalling</author>
    <author>Martin Seebass</author>
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    <author>Hans Lamecker</author>
    <editor>J. Fitzpatrick</editor>
    <author>Martin Seebaß</author>
    <editor>Milan Sonka</editor>
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    <parentTitle language="eng">Proc. 16th Ann. Meeting Europ. Soc. Hyperthermic Oncology (ESHO-97), Berlin, Germany, April 1997</parentTitle>
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    <title language="eng">Surface Mesh Generation for Numerical Simulations of Hyperthermia Treatments</title>
    <parentTitle language="eng">Proc. 16th Ann. Meeting Europ. Soc. Hyperthermic Oncology (ESHO-97), Berlin, Germany, April 1997</parentTitle>
    <author>Martin Seebass</author>
    <author>Detlev Stalling</author>
    <author>M. Zöckler</author>
    <author>Hans-Christian Hege</author>
    <author>Peter Wust</author>
    <author>Roland Felix</author>
    <author>Peter Deuflhard</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="deuflhard">Deuflhard, Peter</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
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  <doc>
    <id>2411</id>
    <completedYear>1996</completedYear>
    <publishedYear>1996</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>552</pageFirst>
    <pageLast>554</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>2</volume>
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    <title language="eng">HyperPlan - an integrated system for treatment planning in regional hyperthermia</title>
    <parentTitle language="eng">Proc. of the 7th Int. Congress on Hyperthermic Oncology, Rome, Italy, April 1996</parentTitle>
    <author>Detlev Stalling</author>
    <editor>Cafiero Franconi</editor>
    <author>Martin Seebass</author>
    <author>Hans-Christian Hege</author>
    <author>Peter Wust</author>
    <author>Peter Deuflhard</author>
    <author>Roland Felix</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="deuflhard">Deuflhard, Peter</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
  </doc>
  <doc>
    <id>2474</id>
    <completedYear>1997</completedYear>
    <publishedYear>1997</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>75</pageFirst>
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    <completedDate>--</completedDate>
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    <title language="eng">Patient Models and Algorithms for Hyperthermia Planning</title>
    <parentTitle language="eng">Proc. 16th Ann. Meeting Europ. Soc. Hyperthermic Oncology (ESHO-97), Berlin, Germany, April 1997</parentTitle>
    <author>Peter Wust</author>
    <author>Johanna Nadobny</author>
    <author>Johanna Gellermann</author>
    <author>Martin Seebass</author>
    <author>Detlev Stalling</author>
    <author>Hans-Christian Hege</author>
    <author>Peter Deuflhard</author>
    <author>Volker Budach</author>
    <author>Roland Felix</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="deuflhard">Deuflhard, Peter</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
  </doc>
  <doc>
    <id>2475</id>
    <completedYear>1999</completedYear>
    <publishedYear>1999</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>519</pageFirst>
    <pageLast>540</pageLast>
    <pageNumber/>
    <edition/>
    <issue>6</issue>
    <volume>15</volume>
    <type>article</type>
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    <title language="eng">Influence of patient models and numerical methods on predicted power deposition patterns</title>
    <parentTitle language="eng">Int. J. Hyperthermia</parentTitle>
    <author>Peter Wust</author>
    <author>Johanna Nadobny</author>
    <author>Martin Seebass</author>
    <author>Detlev Stalling</author>
    <author>Johanna Gellermann</author>
    <author>Hans-Christian Hege</author>
    <author>Peter Deuflhard</author>
    <author>Roland Felix</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="deuflhard">Deuflhard, Peter</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
  </doc>
  <doc>
    <id>274</id>
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    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>1997-01-31</completedDate>
    <publishedDate>1997-01-31</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Generalized Marching Cubes Algorithm Based on Non-Binary Classifications</title>
    <abstract language="eng">We present a new technique for generating surface meshes from a uniform set of discrete samples. Our method extends the well-known marching cubes algorithm used for computing polygonal isosurfaces. While in marching cubes each vertex of a cubic grid cell is binary classified as lying above or below an isosurface, in our approach an arbitrary number of vertex classes can be specified. Consequently the resulting surfaces consist of patches separating volumes of two different classes each. Similar to the marching cubes algorithm all grid cells are traversed and classified according to the number of different vertex classes involved and their arrangement. The solution for each configuration is computed based on a model that assigns probabilities to the vertices and interpolates them. We introduce an automatic method to find a triangulation which approximates the boundary surfaces - implicitly given by our model - in a topological correct way. Look-up tables guarantee a high performance of the algorithm. In medical applications our method can be used to extract surfaces from a 3D segmentation of tomographic images into multiple tissue types. The resulting surfaces are well suited for subsequent volumetric mesh generation, which is needed for simulation as well as visualization tasks. The proposed algorithm provides a robust and unique solution, avoiding ambiguities occuring in other methods. The method is of great significance in modeling and animation too, where it can be used for polygonalization of non-manifold implicit surfaces.</abstract>
    <identifier type="serial">SC-97-05</identifier>
    <identifier type="opus3-id">275</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-2741</identifier>
    <author>Hans-Christian Hege</author>
    <author>Martin Seebass</author>
    <author>Detlev Stalling</author>
    <author>Malte Zöckler</author>
    <series>
      <title>ZIB-Report</title>
      <number>SC-97-05</number>
    </series>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="institutes" number="">ZIB Allgemein</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/274/SC-97-05.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/274/SC-97-05.pdf</file>
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  <doc>
    <id>295</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>1997-06-19</completedDate>
    <publishedDate>1997-06-19</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Hyperthermia Treatment Planning in Clinical Cancer Therapy: Modelling, Simulation and Visualization</title>
    <abstract language="eng">\noindent The speaker and his co-workers in Scientific Computing and Visualization have established a close cooperation with medical doctors at the Rudolf--Virchow--Klinikum of the Humboldt University in Berlin on the topic of regional hyperthermia. In order to permit a patient--specific treatment planning, a special software system ({\sf\small HyperPlan}) has been developed. \noindent A mathematical model of the clinical system ({\it radio frequency applicator with 8 antennas, water bolus, individual patient body}) involves Maxwell's equations in inhomogeneous media and a so--called bio--heat transfer PDE describing the temperature distribution in the human body. The electromagnetic field and the thermal phenomena need to be computed at a speed suitable for the clinical environment. An individual geometric patient model is generated as a quite complicated tetrahedral ``coarse'' grid (several thousands of nodes). Both Maxwell's equations and the bio--heat transfer equation are solved on that 3D--grid by means of {\em adaptive} multilevel finite element methods, which automatically refine the grid where necessary in view of the required accuracy. Finally optimal antenna parameters for the applicator are determined . \noindent All steps of the planning process are supported by powerful visualization methods. Medical images, contours, grids, simulated electromagnetic fields and temperature distributions can be displayed in combination. A number of new algorithms and techniques had to be developed and implemented. Special emphasis has been put on advanced 3D interaction methods and user interface issues.</abstract>
    <identifier type="serial">SC-97-26</identifier>
    <identifier type="opus3-id">296</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-2958</identifier>
    <enrichment key="SourceTitle">Appeared in: Proc. of the 15th IMACS World Congress 1997 on Scientific Compuation: Modelling and Applied Mathematics. A. Sydow (ed.) Wissenschaft und Technik Verlag, 1997, Vol. 3, pp. 9-17</enrichment>
    <author>Peter Deuflhard</author>
    <author>Martin Seebass</author>
    <author>Detlev Stalling</author>
    <author>Rudolf Beck</author>
    <author>Hans-Christian Hege</author>
    <series>
      <title>ZIB-Report</title>
      <number>SC-97-26</number>
    </series>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="institutes" number="">ZIB Allgemein</collection>
    <collection role="persons" number="deuflhard">Deuflhard, Peter</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/295/SC-97-26.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/295/SC-97-26.pdf</file>
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