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Cardio

MRI and CT in coronary heart disease

Contents

The work in the field of coronary heart disease is concerned with the development of methods for analyzing the coronary arteries and the vitality of the heart muscle based on MRI and CT images. A particular focus is on the fusion of angiographic and functional information to show the relationship between pathological changes of the coronary arteries and the vitality of the heart muscle tissue.

Contact

A. Hennemuth (anja.hennemuth@mevis.fraunhofer.de)

O. Friman (ola.friman@mevis.fraunhofer.de)

Partners

University Hospital Tübingen, Department of Diagnostic and Interventional Radiology

University Hospital Aachen, Department of Diagnostic Radiology

University Hospital Zurich, Institute of Diagnostic Radiology

AG Vis, University of Magdeburg

Publications

Coronary Arteries

  • One-click coronary tree segmentation in CT angiographic images
    Hennemuth A, Boskamp T, Fritz D, Kühnel C, Bock S, Rinck D, Scheuering M, Peitgen H-O.
    Proceedings of Computer Assisted Radiology and Surgery (CARS’05). 2005; S.317–321
  • Automatic segmentation of coronary arteries in CT angiographies with a minimum of user interaction
    Hennemuth, A., Boskamp, T., Kuehnel, C., Rinck, D., Bock, S., & Peitgen, H. O.
    RSNA 2005
  • Robust Vessel segmentation
    Bock S, Kühnel C, Boskamp T, Peitgen H-O
    Proceedings of SPIE Medical Imaging 2008;6915 S.391-399
  • Automatic Transfer Function Specification for Visual Emphasis of Coronary Artery Plaque
    Glaßer, S., Oeltze, S., Hennemuth, A., Kubisch, C., Mahnken, A., Wilhelmsen, S., et al.
    CGF, 29(1), S.191–20, 2009
  • Adapted Transfer Function Design for Coronary Artery Evaluation
    Glaßer, S., Oeltze, S., Hennemuth, A., Wilhelmsen, S., & Preim, B.,H. - P. Meinzer, T. M. Deserno, H. Handels, & T. Tolxdorff (Eds.)
    BVM 2009 (pp. 1–5). Springer-Verlag Berlin/Heidelberg
  • Multiple Hypothesis Template Tracking of Small 3D Vessel Structures
    Friman O, Hindennach M, Kühnel C, Peitgen H-O
    Medical Image Analysis 2010

Myocardial Perfusion

  • Survey of the Visual Exploration and Analysis of Perfusion Data
    Mlejnek, M., Gröller, E., Hennemuth, A., Behrens, S., Preim, B., & Oeltze, S. (2008).
    IEEE TVCG, 15(2),S.205–220
  • Phase-Based Non-Rigid Registration of Myocardial Perfusion MRI Image Sequences
    Tautz L, H. A., Andersson M, Seeger A, Knutsson H, Friman O.
    Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging

Delayed Enhancement

  • Automatic Detection and Quantification of Non-Viable Myocardium in Late Enhancement Images
    Hennemuth, A., Seeger, A., Friman, O., Miller, S., & Peitgen, H. - O.
    Proceedings of the 16th Scientific Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM'08) (1039), 2008
  • A Rician-Gaussian Mixture Model for Segmenting Delayed Enhancement MRI Images
    Friman, O., Hennemuth, A., & Peitgen, H. - O.
    Proceedings of the 16th Scientific Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM'08) (1040), 2008
  • Evaluation of a New Method for the Automatic Segmentation and Quantification of Delayed Gadolinium Enhancement
    Hennemuth, A., Seeger, A., Klumpp, B., Friman, O., Miller, S., Claussen, C. D., et al.
    RSNA 2009

Combined Analysis of Coronary Arteries and Myocardium

  • Detection of hypoperfused areas and delayed enhancement
    Hennemuth, A., Behrens, S., König, M., Kuehnel, C., Peitgen, H. - O., Fenchel, M., et al.
    ESCR 2006 (147)
  • New Software Assistants for Cardiovascular Diagnosis
    Kühnel, C., Hennemuth, A., Boskamp, T., Oeltze, S., Bock, S., Krass, S., et al.
    Proc Softwareassistenten für die Medizin (pp. 491–498). Informatik, 1(GI-Edition). GI-Jahrestagung 2006, Workshop Softwareassistenten für die Medizin: Gesellschaft für Informatik
  • Novel methods for parameter based analysis of myocardial tissue in MR-Images
    Hennemuth, A., Behrens, S., Kühnel, C., Oeltze, S., Konrad, O., & Peitgen, H. - O.,A. Manduca, & X. P. Hu (Eds.)
    SPIE 2007 (pp. 65111n–1-pp. 65111n–9). SPIE Conference on Medical Image Computing
  • Enhanced Cardio Vascular Image Analysis by Combined Representation of Results from Dynamic MRI and Anatomic CTA
    Kühnel, C., Hennemuth, A., Oeltze, S., Boskamp, T., & Peitgen, H. - O.
    Proceedings of SPIE (Vol. 6918, 69180S), 2008
  • CT Late Enhancement Segmentation for the Combined Analysis of Coronary Arteries and Myocardial Viability
    Hennemuth A, Mahnken A, Kühnel C, Oeltze S, Peitgen H-O.
    Proceedings of VCBM 2008;1–9.
  • Glyph-Based Visualization of Myocardial Perfusion Data and Enhancement with Contractility and Viability Information
    Oeltze, S., Hennemuth, A., Glaßer, S., Kuehnel, C., & Preim, B.
    VCBM 2008, 11–20
  • A Comprehensive Approach to the Analysis of Contrast Enhanced Cardiac MR Images
    Hennemuth A, Seeger A, Friman O, Miller S, Klumpp B, Oeltze S, Peitgen H-O.
    IEEE Transactions on Medical Imaging 2008; 27 S. 1592-1610
  • Kombinierte Darstellung von MR-Koronarangiographie, MR-Perfusion und Delayed Enhancement bei Patienten mit koronarer Herzerkrankung: Erste Erfahrungen
    Seeger, A., Hennemuth, A., Döring, J., Kramer, U., Kühnel, C., Fenchel, M., et al.
    89. Deutscher Röntgenkongress (Vol. 180), 2008
  • Improved Coronary Assignment of Myocardial Viability Using MRCA and Dedicated Postprocessing
    Seeger A, Hennemuth A, Kramer U, Klumpp B, Claussen CD, & Miller S.
    RSNA 2009
  • Image fusion of coronary CT angiography and cardiac perfusion MRI: a pilot study
    Stolzmann P, Alkadhi H, Scheffel H, Hennemuth A, Kuehnel C, Baumueller S, et al.
    Eur Radiol, 20(5), 1174–1179, 2010
  • Ein Softwareassistent zur kombinierten Analyse von Koronararterien und Myokardperfusion – Fusionierte Darstellungen von CT und MRT-basierten Ergebnissen
    Hennemuth A, Seeger A, Kuehnel C, Friman O, Miller S, & Peitgen HO.
    RöFo Fortschr Röntgenstr (Vol. 182, pp. 179–180). Georg Thieme Verlag KG. 2010

MRI of congenital heart disease

Contents

For the diagnosis and treatment planning in congenital heart defects, morphological and functional imaging data in different orientations and temporal resolutions are acquired. To facilitate the analysis of such data, methods for quantitative analysis of arbitrarily oriented data and co-registration are developed to visualize spatial and temporal relations of different sequences in a suitable way.

Contact

M. Hüllebrand (markus.huellebrand@mevis.fraunhofer.de)

A. Hennemuth (anja.hennemuth@mevis.fraunhofer.de)

Partners

DHZB - German Heart Center Berlin

University Hospital Freiburg, Department of Radiology, Medical Physics

MRI-based analysis of carotid plaque

Contents

Plaque composition plays an important role in the assessment of rupture risk. The aim in this project is to find an optimal and non-invasive imaging of atheromas. To this end, different high-resolution MRI sequences of resected carotid plaques are evaluated and co-registered with micro-CT and histological slice images. A manual histopathological classification is used as ground-truth to find the relevant MRI sequences and to train supervised classifiers.

Contact

A. Hennemuth (anja.hennemuth@mevis.fraunhofer.de)

S. Wirtz (stefan.wirtz@mevis.fraunhofer.de)

Partners

University Hospital Freiburg, Department of Radiology, Medical Physics

University Hospital Freiburg, Neurology

University Hospital Tübingen, Preclinical Imaging

University Cologne, Institute of Pathology

Publications

  • Optimized visual classification of complicated plaques based on multidimensional image fusion
    Hennemuth, A, Harloff, A, Spehl, T, Pavlov, N, Friman, O, Paul, D, et al.
    GI Workshop Softwareassistenten – Computerunterstützung für die medizinische Diagnostik und Therapieplanung (pp. 1359–1369). Gesellschaft fuer Informatik (GI), 2009

Hemodynamic analysis based on PC-MRI

Contents

The analysis of blood flow patterns plays an important role in the diagnosis and treatment of a variety of congenital and acquired cardiovascular diseases. To enable non-invasive assessment of vascular anatomy and dynamics, dedicated segmentation and visualization tools are developed, and methods for calculating hemodynamic parameters such as pressure and wall shear forces are researched.

Contact

O. Friman (ola.friman@mevis.fraunhofer.de)

A. Hennemuth (anja.hennemuth@mevis.fraunhofer.de)

S. Meier (sebastian.meier@mevis.fraunhofer.de)

Partners

DHZB - German Heart Center Berlin

University Hospital Freiburg, Department of Radiology, Medical Physics

University Hospital Muenster, Institute of Clinical Radiology

University Hospital Heidelberg, Pediatric Radiology

Publications

  • Four-dimensional Phase Contrast MR Flow Imaging: Advanced Visualization and Exploration Methods
    Hennemuth A, Bock J, Friman O, Wieben O, Markl M, Konrad O, et al.
    RSNA 2009 Educational Exhibit
  • Probabilistic Flow Connectivity Mapping
    Friman O, Hennemuth A, Harloff A, Bock J, Markl M, & Peitgen HO.
    Proceedings of the 18th Scientific Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM’10), 2010
  • Probabilistic Flow Connectivity Mapping
    Friman O, Hennemuth A, Harloff A, Bock J, Markl M, & Peitgen HO.
    MICCAI 2010
  • Noninvasive 4D Blood Flow and Pressure Quantification in Central Blood Vessels via PCMRI
    Meier S, Hennemuth A, Friman A, Bock J, Markl M, Preusser T.
    Computing In Cardiology 2010
  • Fast Interactive Exploration of 4D MRI Flow Data
    Hennemuth A., Friman O, Schumann C, Bock J, Drexl J, Markl M, et al.
    SPIE Medical Imaging 2011
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