Tracking the Position and Rotational Orientation of a Catheter Using a Transmit Array System

Çelik, Haydar; Mahcicek, Davut I.; Senel, O. K.; Wright, Graham A.; Atalar, Ergin

doi:10.1109/tmi.2013.2247047

Cited by 3 publications

(5 citation statements)

References 31 publications

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“…Fig 11-III and 11-IV are modifications to the opposed solenoid design (Hillenbrand et al [15], [16]) to add transmit field distortion and 3-point curvature tracking (using the two opposed solenoids and an independent larger peak-producing tracking coil) to its internal imaging and tip-tracking capability. Celik et al [21]–[23] and Overall et al [24] used reverse polarization for curvature detection and safety monitoring respectively. Simulation can be used to visualize the forward and reverse polarized B 1 fields in the presence of endovascular coils.…”

Section: Discussionmentioning

confidence: 99%

Modeling Endovascular MRI Coil Coupling With Transmit RF Excitation

Venkateswaran

Ünal

Samsonov

et al. 2017

IEEE Trans. Biomed. Eng.

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Objective To model inductive coupling of endovascular coils with transmit RF excitation for selecting coils for MRI-guided interventions. Methods Independent and computationally efficient FEM models are developed for the endovascular coil, cable, transmit excitation and imaging domain. Electromagnetic and circuit solvers are coupled to simulate net B1+ fields and induced currents and voltages. Our models are validated using the Bloch Siegert B1+ mapping sequence for a series-tuned multimode coil, capable of tracking, wireless visualization and high resolution endovascular imaging. Results Validation shows good agreement at 24, 28 and 34 μT background RF excitation within experimental limitations. Quantitative coil performance metrics agree with simulation. A parametric study demonstrates trade off in coil performance metrics when varying number of coil turns. Tracking, imaging and wireless marker multimode coil features and their integration is demonstrated in a pig study. Conclusion Developed models for the multimode coil were successfully validated. Modeling for geometric optimization and coil selection serves as a precursor to time-consuming and expensive experiments. Specific applications demonstrated include parametric optimization, coil selection for a cardiac intervention and an animal imaging experiment. Significance Our modular, adaptable and computationally efficient modeling approach enables rapid comparison, selection and optimization of inductively-coupled coils for MRI-guided interventions.

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Section: Discussionmentioning

confidence: 99%

Modeling Endovascular MRI Coil Coupling With Transmit RF Excitation

Venkateswaran

Ünal

Samsonov

et al. 2017

IEEE Trans. Biomed. Eng.

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“…Development in MR markers has enabled precise targeting and control during surgical operation, such as biopsy procedure [2], neurosurgery [3], renal denervation [4], and brachytherapy [5] etc. Furthermore, the markers also introduced solutions in automatic threedimensional location [5][6][7][8][9] and motion artifact reduction [6,10].…”

Section: Introductionmentioning

confidence: 99%

“…To this end, inductively coupled radio frequency (ICRF) markers have gained increasing interest for MR-based tracking [2,6,8,[25][26][27][28][29][30][31], as they do not require electrically conducting wire connection to the MRI scanner, thus reducing the implementation complexity, as well as the risk of RF-induced heating due to wiring [17][18][19]. Furthermore, by using 1D-projection MRI pulse sequence, wireless markers can offer real-time tracking with high signal-noiseratio at around 30 Hz [6,30].…”

Section: Introductionmentioning

confidence: 99%

“…design have led to smaller footprints with high quality factor [32], e.g., using 3-D circuits printed with aerosol jet deposition [33]. Celik et al [8] also presented MR-tracking of both position and orientation just using a single marker. Remote-control schemes [2] were also proposed by employing optical or electrical triggers, altering the RF resonance properties [34] of ultra-thin and flexible marker for anatomic marking.…”

Section: Introductionmentioning

confidence: 99%

“…The design approaches of resonant circuits can be categorized into solenoid coil [6,9,29,[35][36][37], planar coil [8,30,32,38], double helix inductor [33], and split-ring structures [2]. However, the majority of their designs [2, 6, 8, 28-30, 32, 34] encountered the same problem of orientation dependency, such that the signal-noise-ratio drops to its minimum when the inductor surface normal aligns to the MRI static magnetic field.…”

Section: Introductionmentioning

confidence: 99%

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Omnidirectional Monolithic Marker for Intra-Operative MR-Based Positional Sensing in Closed MRI

Cheung,

Wu,

Fang

et al. 2024

IEEE Trans. Med. Imaging

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We present a design of an inductively coupled radio frequency (ICRF) marker for magnetic resonance (MR)based positional tracking, enabling the robust increase of tracking signal at all scanning orientations in quadratureexcited closed MR imaging (MRI). The marker employs three curved resonant circuits fully covering a cylindrical surface that encloses the signal source. Each resonant circuit is a planar spiral inductor with parallel plate capacitors fabricated monolithically on flexible printed circuit board (FPC) and bent to achieve the curved structure. Size of the constructed marker is Ø3 mm  5 mm with quality factor > 22, and its tracking performance was validated with 1.5 T MRI scanner. As result, the marker remains as a high positive contrast spot under 360° rotations in 3 axes. The marker can be accurately localized with a maximum error of 0.56 mm under a displacement of 56 mm from the isocenter, along with an inherent standard deviation of 0.1 mm. Accrediting to the high image contrast, the presented marker enables automatic and real-time tracking in 3D without dependency on its orientation with respect to the MRI scanner receive coil. In combination with its small formfactor, the presented marker would facilitate robust and wireless MR-based tracking for intervention and clinical diagnosis. This method targets applications that can involve rotational changes in all axes (X-Y-Z).

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