Literature DB >> 15773725

Motion compensated coronary interventional navigation by means of diaphragm tracking and elastic motion models.

Holger Timinger1, Sascha Krueger, Klaus Dietmayer, Joern Borgert.   

Abstract

Current catheter tracking in the x-ray catheter laboratory during coronary interventions is performed using 2D fluoroscopy. Although this features real-time navigation on high-resolution images, drawbacks such as overlap and foreshortening exist and hamper the diagnosis and treatment process. An alternative to fluoroscopy-based tracking is device tracking by means of a magnetic tracking system (MTS). Having measured the 3D location of the interventional device, its position can be reconstructed on 3D images or virtual roadmaps of the organ or vessel structure under examination. In this paper, a method is presented which compensates the interventional device location measured by the MTS for organ motion and thus registers it dynamically to a 3D virtual roadmap. The motion compensation is accomplished by using an elastic motion model which is driven by the ECG signal and a respiratory sensor signal derived from ultrasonic diaphragm tracking. The model is updated during the intervention itself, thus allowing for a local refinement in regions which bear a complex geometric structure, such as stenoses and bifurcations. The evaluation is done by means of a phantom-based study using a dynamic heart-phantom. The mean displacement caused by the overall motion of the heart is improved from 10.4+/-4.8 mm in the uncompensated case to 2.1+/-1.2 mm in the motion compensated case.

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Mesh:

Year:  2005        PMID: 15773725     DOI: 10.1088/0031-9155/50/3/007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Respiratory motion compensation with tracked internal and external sensors during CT-guided procedures.

Authors:  Jörn Borgert; S Krüger; H Timinger; J Krücker; N Glossop; A Durrani; A Viswanathan; B J Wood
Journal:  Comput Aided Surg       Date:  2006-05

2.  Dynamic frame selection for in vivo ultrasound temperature estimation during radiofrequency ablation.

Authors:  Matthew J Daniels; Tomy Varghese
Journal:  Phys Med Biol       Date:  2010-07-30       Impact factor: 3.609

3.  Rui Liao's work on patient-specific 3-D model guidance for interventional and hybrid-operating-room applications.

Authors:  Rui Liao
Journal:  World J Radiol       Date:  2011-06-28

4.  A Minimally Interactive Method for Labeling Respiratory Phases in Free-Breathing Thoracic Dynamic MRI for Constructing 4D Images.

Authors:  Changjian Sun; Jayaram K Udupa; Yubing Tong; Caiyun Wu; Shuxu Guo; Joseph M McDonough; Drew A Torigian; Patrick J Cahill
Journal:  IEEE Trans Biomed Eng       Date:  2022-03-18       Impact factor: 4.538

5.  Real-time respiratory motion compensated roadmaps for hepatic arterial interventions.

Authors:  Martin G Wagner; Sarvesh Periyasamy; Colin Longhurst; Matthew J McLachlan; Joseph F Whitehead; Michael A Speidel; Paul F Laeseke
Journal:  Med Phys       Date:  2021-09-04       Impact factor: 4.506

6.  Characterization of respiratory and cardiac motion from electro-anatomical mapping data for improved fusion of MRI to left ventricular electrograms.

Authors:  Sébastien Roujol; Elad Anter; Mark E Josephson; Reza Nezafat
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

  6 in total

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