Inductive Sensor Design for Electromagnetic Tracking in Image Guided Interventions

Cavaliere, Marco; McVeigh, Oisín; Jaeger, Herman Alexander; Hinds, Stephen; O’Donoghue, Kilian; Cantillon-Murphy, Pádraig

doi:10.1109/jsen.2020.2984323

Cited by 24 publications

(8 citation statements)

References 13 publications

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“…2D-3D vascular image registration combines the advantages of both preoperative CTA slices and intraoperative DSA sequences to increase visual information and reduce the use of X-rays during surgery [17][18][19][20][21][22][23]. Electromagnetic system (EM) as a new accurate and radiation-free positioning method has also been gradually used in the positioning of the end of interventional devices [24][25][26][27].…”

Section: Open Accessmentioning

confidence: 99%

Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery

Guan

Cai

et al. 2023

BMC Surg

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Background Minimally invasive vascular intervention (MIVI) is a powerful technique for the treatment of cardiovascular diseases, such as abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and aortic dissection (AD). Navigation of traditional MIVI surgery mainly relies only on 2D digital subtraction angiography (DSA) images, which is hard to observe the 3D morphology of blood vessels and position the interventional instruments. The multi-mode information fusion navigation system (MIFNS) proposed in this paper combines preoperative CT images and intraoperative DSA images together to increase the visualization information during operations. Results The main functions of MIFNS were evaluated by real clinical data and a vascular model. The registration accuracy of preoperative CTA images and intraoperative DSA images were less than 1 mm. The positioning accuracy of surgical instruments was quantitatively assessed using a vascular model and was also less than 1 mm. Real clinical data used to assess the navigation results of MIFNS on AAA, TAA and AD. Conclusions A comprehensive and effective navigation system was developed to facilitate the operation of surgeon during MIVI. The registration accuracy and positioning accuracy of the proposed navigation system were both less than 1 mm, which met the accuracy requirements of robot assisted MIVI.

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Section: Open Accessmentioning

confidence: 99%

Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery

Guan

Cai

et al. 2023

BMC Surg

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“…where v d is the difference voltage corresponding to the difference in the output voltage of each pickup coil in the differential MI sensor. In general, the MI sensor can be represented by an electrical circuit model [36]. Thus, the differential MI sensor can also be represented by an equivalent circuit corresponding to the electrical modeling as shown in Fig.…”

Section: A Evaluation Of a MI Sensormentioning

confidence: 99%

Experimental Assessment of a Magnetic Induction-Based Receiver for Magnetic Communication

Kim

Lee

et al. 2022

IEEE Access

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This paper presents the topology of a novel approach to magnetic communication using a differential magnetic induction (MI)-based receiver and a differential MI receiving sensor. In this paper, a differential MI sensor based on two ferromagnetic cores is proposed as a receiving sensor, unlike the air coiltype MI sensor in the conventional search coil sensor concept. This differential MI sensor has the advantages of ultra-high sensitivity characteristics of the pT/√Hz level, which can detect weak magnetic fields in magnetic communication; moreover, the sensor is smaller than a conventional air coil MI sensor. The proposed differential MI sensor contributes to improving sensor performance by increasing its signal-to-noise ratio. The design and fabrication of the proposed MI sensor were based on a printed circuit board (PCB). The pickup coil of the PCB-based MI sensor directly wound the pickup coil onto a ferromagnetic core composed of Ni-Zn ferrite material. To analyze the key factors that affected the performance of the receiver, the magnetic field-to-voltage conversion ratio (MVCR) and equivalent magnetic spectral density measurements of the proposed PCB-based MI sensor were performed. Wireless digital communication using quadrature phase shift keying (QPSK), which is less sensitive to noise and has a high data rate, was used to evaluate the proposed MI-based receiver. The transmitted and received waveforms were compared to confirm that the transmitted digital data were accurately received as a result of the final demodulation of the receiver. Additionally, several performance metrics, such as constellation and error vector magnitude, were measured. The results of the comprehensive analysis confirmed the applicability of the proposed differential MI-based receiver to a magnetic field.

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“…The common method is using the sensing coil to measure the change of the MF by the varying EMF [1]. The large-area coils, which effectively capture the change in MF in space, are utilized to assist in the calculation of position and roll angle [20]. The quantitative evaluations of some commercial electromagnetic tracking systems have been analyzed [21].…”

Section: Introductionmentioning

confidence: 99%

Analytical and Experimental Investigation of Electromagnetic Tracking System for Location and Orientation Estimation

Lin

Kuo

et al. 2023

IEEE Access

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This paper presents the development of an electromagnetic (EM) tracking system that consists of a pyramid field generator (PFG) of five excitation coils and a sensing coil for location and orientation estimation. The system measures the induced electromotive forces (EMF) of the sensing coil with the change of the magnetic field contributed by the PFG. The proposed modeling distributed magnetic flux (DMF) method that divides the multi-turns sensing coil into multiple layers and concentric circles for the distributed elements is utilized to determine EMF induced in the sensing coils for investigating the effects of translational and angular displacement. The finite element analysis numerically verifies the DMF method and validates the Artificial Neural Network (ANN)-based estimation models. The calibration and ANN-based estimation process are applied to inversely estimate the location and orientation of the sensing coil based on the DMF method and the experimental EM tracking system. The proposed design and a prototype of the EM tracking system have experimentally verified the DMF method and showed the validity of the location and orientation estimation.

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Inductive Sensor Design for Electromagnetic Tracking in Image Guided Interventions

Cited by 24 publications

References 13 publications

Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery

Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery

Experimental Assessment of a Magnetic Induction-Based Receiver for Magnetic Communication

Analytical and Experimental Investigation of Electromagnetic Tracking System for Location and Orientation Estimation

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