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  <doc>
    <id>342</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>1998-01-12</completedDate>
    <publishedDate>1998-01-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Impact of Nonlinear Heat Transfer on Temperature Control in Regional Hyperthermia</title>
    <abstract language="eng">We describe an optimization process specially designed for regional hyperthermia of deep seated tumors in order to achieve desired steady--state temperature distributions. A nonlinear three--dimensional heat transfer model based on temperature--dependent blood perfusion is applied to predict the temperature. Using linearly implicit methods in time and adaptive multilevel finite elements in space, we are able to integrate efficiently the instationary nonlinear heat equation with high accuracy. Optimal heating is obtained by minimizing an integral object function which measures the distance between desired and model predicted temperatures. A sequence of minima is calculated from successively improved constant--rate perfusion models employing a damped Newton method in an inner iteration. We compare temperature distributions for two individual patients calculated on coarse and fine spatial grids and present numerical results of optimizations for a Sigma 60 Applicator of the BSD 2000 Hyperthermia System.</abstract>
    <identifier type="serial">SC-97-73</identifier>
    <identifier type="opus3-id">343</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-3426</identifier>
    <enrichment key="SourceTitle">Appeared in: IEEE Trans. on Biomedical Engineering 46, No. 9 (1999) pp. 1129-1138</enrichment>
    <author>Jens Lang</author>
    <author>Bodo Erdmann</author>
    <author>Martin Seebass</author>
    <series>
      <title>ZIB-Report</title>
      <number>SC-97-73</number>
    </series>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="institutes" number="">ZIB Allgemein</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/342/SC-97-73.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/342/SC-97-73.pdf</file>
  </doc>
  <doc>
    <id>328</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>1997-12-03</completedDate>
    <publishedDate>1997-12-03</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Optimization of Temperature Distributions for Regional Hyperthermia Based on a Nonlinear Heat Transfer Model</title>
    <abstract language="eng">We describe an optimization process specially designed for regional hyperthermia of deap seated tumors in order to achieve desired steady--state temperature distributions. A nonlinear three--dimensional heat--transfer model based on temperature--dependent blood perfusion is applied to predict the temperature. Optimal heating is obtained by minimizing an integral object function which measures the distance between desired and model predicted temperatures. Sequential minima are calculated from successively improved constant--rate perfusion models employing a damped Newton method in an inner iteration. Numerical results for a Sigma 60 applicator are presented. This work has been supported by Deutsche Forschungsgemeinschaft (DFG) within the Sonderforschungsbereich 273 \glqq Hyperthermie: Methodik und Klinik \grqq .</abstract>
    <identifier type="serial">SC-97-59</identifier>
    <identifier type="opus3-id">329</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-3283</identifier>
    <enrichment key="SourceTitle">Appeared in: Biotransport: Heat and Mass Transfer in Living Systems, K. Diller ed., 1998, Annals of the New York Academy of Sciences, 858 (1998), 36-46</enrichment>
    <author>Bodo Erdmann</author>
    <author>Jens Lang</author>
    <author>Martin Seebass</author>
    <series>
      <title>ZIB-Report</title>
      <number>SC-97-59</number>
    </series>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="institutes" number="compmed">Computational Medicine</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/328/SC-97-59.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/328/SC-97-59.pdf</file>
  </doc>
  <doc>
    <id>784</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
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    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2004-04-02</completedDate>
    <publishedDate>2004-04-02</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Segmentation of the Liver using a 3D Statistical Shape Model</title>
    <abstract language="eng">This paper presents an automatic approach for segmentation of the liver from computer tomography (CT) images based on a 3D statistical shape model. Segmentation of the liver is an important prerequisite in liver surgery planning. One of the major challenges in building a 3D shape model from a training set of segmented instances of an object is the determination of the correspondence between different surfaces. We propose to use a geometric approach that is based on minimizing the distortion of the correspondence mapping between two different surfaces. For the adaption of the shape model to the image data a profile model based on the grey value appearance of the liver and its surrounding tissues in contrast enhanced CT data was developed. The robustness of this method results from a previous nonlinear diffusion filtering of the image data. Special focus is turned to the quantitative evaluation of the segmentation process. Several different error measures are discussed and implemented in a study involving more than 30 livers.</abstract>
    <identifier type="serial">04-09</identifier>
    <identifier type="opus3-id">785</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-7847</identifier>
    <author>Hans Lamecker</author>
    <author>Thomas Lange</author>
    <author>Martin Seebass</author>
    <series>
      <title>ZIB-Report</title>
      <number>04-09</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Statistical Shape Model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D Correspondence Problem</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Model-Based Segmentation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diffusion Filtering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Geometric Distortion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Surface Distance</value>
    </subject>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="ccs" number="I.4.6">Segmentation</collection>
    <collection role="ccs" number="I.5.1">Models</collection>
    <collection role="msc" number="68U01">General</collection>
    <collection role="institutes" number="">ZIB Allgemein</collection>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="projects" number="MATHEON-F2">MATHEON-F2</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/784/ZR-04-09.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/784/ZR-04-09.pdf</file>
  </doc>
  <doc>
    <id>595</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
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    <type>reportzib</type>
    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2000-08-25</completedDate>
    <publishedDate>2000-08-25</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Hyperthermia Treatment Planning with HyperPlan - User's Manual</title>
    <abstract language="eng">HyperPlan is a software system for performing 3D-simulations and treatment planning in regional hyperthermia. It allows the user to understand the complex effects of electromagnetic wave propagation and heat transport inside a patient's body. Optimized power amplitudes and phase settings can be calculated for the BSD radiowave applicators Sigma 60 and Sigma 2000 (eye-applicator). HyperPlan is built on top of the modular, object-oriented visualization system Amira. This system already contains powerful algorithms for image processing, geometric modelling and 3D graphics display. HyperPlan provides a number of hyperthermia-specific modules, allowing the user to create 3D tetrahedral patient models suitable for treatment planning. In addition, all numerical simulation modules required for hyperthermia simulation are part of HyperPlan. This guide provides a step-by-step introduction to hyperthermia planning using HyperPlan. It also describes the usage of the underlying visualization system Amira.</abstract>
    <identifier type="serial">00-27</identifier>
    <identifier type="opus3-id">596</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-5957</identifier>
    <author>Detlev Stalling</author>
    <author>Martin Seebass</author>
    <author>Malte Zöckler</author>
    <author>Hans-Christian Hege</author>
    <series>
      <title>ZIB-Report</title>
      <number>00-27</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>image segmentation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>grid generation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>visualization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>therapy planning</value>
    </subject>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="ccs" number="J.3">LIFE AND MEDICAL SCIENCES</collection>
    <collection role="ccs" number="I.3.8">Applications</collection>
    <collection role="ccs" number="I.4.6">Segmentation</collection>
    <collection role="ccs" number="I.4.9">Applications</collection>
    <collection role="ccs" number="I.6.3">Applications</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/595/ZR-00-27.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/595/ZR-00-27.pdf</file>
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  <doc>
    <id>596</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
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    <type>reportzib</type>
    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2000-08-30</completedDate>
    <publishedDate>2000-08-30</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Electromagnetic phased arrays for regional hyperthermia -- optimal frequency and antenna arrangement</title>
    <abstract language="eng">In this paper we investigate the effects of the three-dimensional arrangement of antennas and frequency on temperature distributions that can be achieved in regional hyperthermia using an electromagnetic phased array. We compare the results of power-based and temperature-based optimization. Thus we are able to explain the discrepancies between previous studies favouring more antenna rings on the one hand and more antennas per ring on the other hand. We analyze the sensitivity of the results with respect to changes in amplitudes and phases as well as patient position. This analysis can be used for different purposes. First, it provides additional criteria for selecting the optimal frequency. Second, it can be used for specifying the required phase and amplitude accuracy for a real phased array system. Furthermore, it may serve as a basis for technological developments in order to reduce both types of sensitivities described above.</abstract>
    <identifier type="serial">00-28</identifier>
    <identifier type="opus3-id">597</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-5961</identifier>
    <enrichment key="SourceTitle">Appeared in: International Journal of Hyperthermia 17 (4), 2001, pp. 321-336</enrichment>
    <author>Martin Seebass</author>
    <author>Rudolf Beck</author>
    <author>Johanna Gellermann</author>
    <author>Jacek Nadobny</author>
    <author>Peter Wust</author>
    <series>
      <title>ZIB-Report</title>
      <number>00-28</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pelvic heating</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>phased array optimization</value>
    </subject>
    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="msc" number="65N30">Finite elements, Rayleigh-Ritz and Galerkin methods, finite methods</collection>
    <collection role="msc" number="92C50">Medical applications (general)</collection>
    <collection role="institutes" number="">ZIB Allgemein</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/596/ZR-00-28.ps</file>
    <file>https://opus4.kobv.de/opus4-zib/files/596/ZR-00-28.pdf</file>
  </doc>
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