University of Twente Student Theses


Active MR Tracking in a Static Phantom using a GRASP-sequence

Geurink, B.M. (2023) Active MR Tracking in a Static Phantom using a GRASP-sequence.

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Abstract:Atrial fibrillation is the most prevalent cardiac arrhythmia with an increasing annual incidence. X-ray Fluoroscopy guided cardiac ablation is the current standard clinical intervention for treatment of atrial fibrillation. Recently, efforts have been made to introduce Magnetic Resonance Imaging (MRI)-guided ablations to improve the accuracy and reduce the relatively high recurrence rate associated with x-ray fluoroscopy ablations. MR-guidance could improve the procedure with 3D imaging while offering dynamic and physiological information . This research investigates the potential of active device tracking using a GRASP-sequence. This sequence allows for anatomical imaging and device tracking from the same data set. Thus, directly accounting for bodily movements and, possibly, speeding up the procedure. The device tracking performance was tested in a static environment for seven positions in 3D space. An analysis of the performance was done based on the accuracy and precision of the measurements. In addition, the temporal resolution of device tracking was estimated and the dynamic tracking capabilities of GRASP have been shown. The results show that the accuracy and precision of GRASP device tracking currently do not yet meet the requirements for clinical implementation. However, GRASP does offer potential and lays a foundation for future research on golden angle radial active device tracking. The flexibility of the sequence along with its ability to track dynamically provide opportunities for further exploration of this technique. Currently, the fairly low accuracy and precision of GRASP range up to, respectively, 16 and 8 millimetres. Also, the frame rate achieved with GRASP device tracking (2D: 6 fps / 3D: 1.5 fps) does not improve dynamic imaging compared to conventional methods.
Item Type:Essay (Bachelor)
Faculty:TNW: Science and Technology
Subject:31 mathematics, 33 physics, 44 medicine, 50 technical science in general
Programme:Biomedical Technology BSc (56226)
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