Literature DB >> 19884068

Cardiac C-arm CT: a unified framework for motion estimation and dynamic CT.

Marcus Prümmer1, Joachim Hornegger, Guenter Lauritsch, Lars Wigström, Erin Girard-Hughes, Rebecca Fahrig.   

Abstract

Generating 3-D images of the heart during interventional procedures is a significant challenge. In addition to real time fluoroscopy, angiographic C-arm systems can also now be used to generate 3-D/4-D CT images on the same system. One protocol for cardiac CT uses ECG triggered multisweep scans. A 3-D volume of the heart at a particular cardiac phase is then reconstructed by applying Feldkamp (FDK) reconstruction to the projection images with retrospective ECG gating. In this work we introduce a unified framework for heart motion estimation and dynamic cone-beam reconstruction using motion corrections. The benefits of motion correction are 1) increased temporal and spatial resolution by removing cardiac motion which may still exist in the ECG gated data sets and 2) increased signal-to-noise ratio (SNR) by using more projection data than is used in standard ECG gated methods. Three signal-enhanced reconstruction methods are introduced that make use of all of the acquired projection data to generate a 3-D reconstruction of the desired cardiac phase. The first averages all motion corrected back-projections; the second and third perform a weighted averaging according to 1) intensity variations and 2) temporal distance relative to a time resolved and motion corrected reference FDK reconstruction. In a comparison study seven methods are compared: nongated FDK, ECG-gated FDK, ECG-gated, and motion corrected FDK, the three signal-enhanced approaches, and temporally aligned and averaged ECG-gated FDK reconstructions. The quality measures used for comparison are spatial resolution and SNR. Evaluation is performed using phantom data and animal models. We show that data driven and subject-specific motion estimation combined with motion correction can decrease motion-related blurring substantially. Furthermore, SNR can be increased by up to 70% while maintaining spatial resolution at the same level as is provided by the ECG-gated FDK. The presented framework provides excellent image quality for cardiac C-arm CT.

Mesh:

Year:  2009        PMID: 19884068     DOI: 10.1109/TMI.2009.2025499

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. Part I. Numerical model-based optimization.

Authors:  Jang-Hwan Choi; Rebecca Fahrig; Andreas Keil; Thor F Besier; Saikat Pal; Emily J McWalter; Gary S Beaupré; Andreas Maier
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

2.  Multi-phase rotational angiography of the left ventricle to assist ablations: feasibility and accuracy of novel imaging.

Authors:  Jean-Yves Wielandts; Stijn De Buck; Koen Michielsen; Ruan Louw; Christophe Garweg; Johan Nuyts; Joris Ector; Frederik Maes; Hein Heidbuchel
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-05-23       Impact factor: 6.875

3.  Evaluation of interpolation methods for surface-based motion compensated tomographic reconstruction for cardiac angiographic C-arm data.

Authors:  Kerstin Müller; Chris Schwemmer; Joachim Hornegger; Yefeng Zheng; Yang Wang; Günter Lauritsch; Christopher Rohkohl; Andreas K Maier; Carl Schultz; Rebecca Fahrig
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

4.  Image artefact propagation in motion estimation and reconstruction in interventional cardiac C-arm CT.

Authors:  K Müller; A K Maier; C Schwemmer; G Lauritsch; S De Buck; J-Y Wielandts; J Hornegger; R Fahrig
Journal:  Phys Med Biol       Date:  2014-05-20       Impact factor: 3.609

5.  Time-resolved interventional cardiac C-arm cone-beam CT: an application of the PICCS algorithm.

Authors:  Guang-Hong Chen; Pascal Theriault-Lauzier; Jie Tang; Brian Nett; Shuai Leng; Joseph Zambelli; Zhihua Qi; Nicholas Bevins; Amish Raval; Scott Reeder; Howard Rowley
Journal:  IEEE Trans Med Imaging       Date:  2011-10-20       Impact factor: 10.048

6.  A fully four-dimensional, iterative motion estimation and compensation method for cardiac CT.

Authors:  Qiulin Tang; Jochen Cammin; Somesh Srivastava; Katsuyuki Taguchi
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

7.  Interventional heart wall motion analysis with cardiac C-arm CT systems.

Authors:  Kerstin Müller; Andreas K Maier; Yefeng Zheng; Yang Wang; Günter Lauritsch; Chris Schwemmer; Christopher Rohkohl; Joachim Hornegger; Rebecca Fahrig
Journal:  Phys Med Biol       Date:  2014-04-15       Impact factor: 3.609

8.  Dynamic Tomographic Reconstruction of Deforming Volumes.

Authors:  Clément Jailin; Stéphane Roux
Journal:  Materials (Basel)       Date:  2018-08-09       Impact factor: 3.623

9.  Motion blur invariant for estimating motion parameters of medical ultrasound images.

Authors:  Barmak Honarvar Shakibaei Asli; Yifan Zhao; John Ahmet Erkoyuncu
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.996

10.  Respiratory Motion Compensation Using Diaphragm Tracking for Cone-Beam C-Arm CT: A Simulation and a Phantom Study.

Authors:  Marco Bögel; Hannes G Hofmann; Joachim Hornegger; Rebecca Fahrig; Stefan Britzen; Andreas Maier
Journal:  Int J Biomed Imaging       Date:  2013-06-06
  10 in total

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