Research Project: Non-Periodic Motion Estimation and Compensation Algorithms

Overview

The primary goal of our research activities in this project is the development of methods for estimating and correcting cardiac motion in order to increase the image quality of cardiac vasculature reconstruction. In interventional environments patients often do have arrhythmic heart signals or cannot hold breath during the complete data acquisition. This important group of patients cannot be reconstructed with current approaches that do strongly depend on a high degree of cardiac motion periodicity for working properly. In this project we try to develop novel algorithmic approaches to cardiac vasculature reconstruction and therefore address the following questions:

Development of algorithms for motion estimation and reconstruction without periodicity assumption or ECG information.
Analysis and development of models for the description of cardiac and breathing motion.
Development of algorithms for estimatating the optimal heart phase for phase-correlated reconstruction algorithms.
Development of methods for the segmentation and functional assessment from 3-D plus time image data.

Keywords: Motion compensation, dynamic 3-D reconstruction, cardiac imaging, C-arm CT

Related Publications

Rohkohl, Christopher; Lauritsch, Günter; Prümmer, Marcus; Hornegger, Joachim
Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption In: Guang-Zhong, Yang; David, Hawkes; Daniel, Rueckert; Alison, Noble; Chris, Taylor (Eds.)
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 London, UK 20-24 September 2009) Vol. Lecture Notes in Computer Science, 5761 Heidelberg : Springer 2009, pp. 132-139 - ISBN 978-3-642-04267-6 (BiBTeX, Who cited this?)

Rohkohl, Christopher; Lauritsch, Günter; Prümmer, Marcus; Boese, Jan; Hornegger, Joachim
Towards 4-D Cardiac Reconstruction without ECG and Motion Periodicity using C-arm CT In: Tsui, Benjamin M. W. (Eds.)
Proceedings of 10th Fully 3D Meeting and 2nd HPIR Workshop (10th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine Beijing, China 5-10 September 2009) 2009, pp. 323-326 (BiBTeX, Who cited this?)

Rohkohl, Christopher; Lauritsch, Günter; Nöttling, Alois; Prümmer, Marcus; Hornegger, Joachim
C-Arm CT: Reconstruction of Dynamic High Contrast Objects Applied to the Coronary Sinus In: IEEE (Eds.)
Nuclear Science Symposium and Medical Imaging Conference Record (Nuclear Science Symposium and Medical Imaging Conference Dresden, Germany 19 - 25 October 2008) 2008, pp. no pagination (BiBTeX, Who cited this?)

Contact

Address

Dr.-Ing. Christopher Rohkohl

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Research Project: Non-Periodic Motion Estimation and Compensation Algorithms



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Department of Computer Science 5 Our Team Rohkohl, Christopher Projects Clinical Work Non-Periodic Motion Estimation & Compensation CAVAREV RabbitCT Image-Based Gating Publications Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstrasse 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Rohkohl, Christopher » Projects » Non-Periodic Motion Estimation & Compensation Dr.-Ing. Christopher Rohkohl Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg The vision of my work is to develop methods that open up the possibility to visualize highly dynamic (moving) vital parts of the human body as the heart. This provides one key towards the development of novel diagnostic tools and medical treatment procedures. Research Project: Non-Periodic Motion Estimation and Compensation Algorithms Overview The primary goal of our research activities in this project is the development of methods for estimating and correcting cardiac motion in order to increase the image quality of cardiac vasculature reconstruction. In interventional environments patients often do have arrhythmic heart signals or cannot hold breath during the complete data acquisition. This important group of patients cannot be reconstructed with current approaches that do strongly depend on a high degree of cardiac motion periodicity for working properly. In this project we try to develop novel algorithmic approaches to cardiac vasculature reconstruction and therefore address the following questions: Development of algorithms for motion estimation and reconstruction without periodicity assumption or ECG information. Analysis and development of models for the description of cardiac and breathing motion. Development of algorithms for estimatating the optimal heart phase for phase-correlated reconstruction algorithms. Development of methods for the segmentation and functional assessment from 3-D plus time image data. Keywords: Motion compensation, dynamic 3-D reconstruction, cardiac imaging, C-arm CT Related Publications Rohkohl, Christopher; Lauritsch, Günter; Prümmer, Marcus; Hornegger, Joachim Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption In: Guang-Zhong, Yang; David, Hawkes; Daniel, Rueckert; Alison, Noble; Chris, Taylor (Eds.) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 London, UK 20-24 September 2009) Vol. Lecture Notes in Computer Science, 5761 Heidelberg : Springer 2009, pp. 132-139 - ISBN 978-3-642-04267-6 (BiBTeX, Who cited this?) Rohkohl, Christopher; Lauritsch, Günter; Prümmer, Marcus; Boese, Jan; Hornegger, Joachim Towards 4-D Cardiac Reconstruction without ECG and Motion Periodicity using C-arm CT In: Tsui, Benjamin M. W. (Eds.) Proceedings of 10th Fully 3D Meeting and 2nd HPIR Workshop (10th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine Beijing, China 5-10 September 2009) 2009, pp. 323-326 (BiBTeX, Who cited this?) Rohkohl, Christopher; Lauritsch, Günter; Nöttling, Alois; Prümmer, Marcus; Hornegger, Joachim C-Arm CT: Reconstruction of Dynamic High Contrast Objects Applied to the Coronary Sinus In: IEEE (Eds.) Nuclear Science Symposium and Medical Imaging Conference Record (Nuclear Science Symposium and Medical Imaging Conference Dresden, Germany 19 - 25 October 2008) 2008, pp. no pagination (BiBTeX, Who cited this?)