Mr. Yanfei Chen Profile

Yanfei Chen

at Univ of Pittsburgh

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Publications (2)

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Proceedings Article | 1 April 2015 Paper

Smart guidewires for smooth navigation in neurovascular intervention

Yanfei Chen, Matthew Barry, Mahdis Shayan, Brian Jankowitz, Xinjie Duan, Anne Robertson, Minking Chyu, Youngjae Chun

Proceedings Volume 9433, 94330Y (2015) https://doi.org/10.1117/12.2084261

KEYWORDS: Blood, In vitro testing, Body temperature, Scanning electron microscopy, Blood vessels, Manufacturing, Design for manufacturability, Shape memory alloys, Temperature metrology, Data modeling

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A smart guidewire using nitinol materials was designed, manufactured and evaluated the device functionality, such as bending performance, trackability, thermal effects, and thrombogenic response. Two types of nitinol material were partially used to enhance the guidewire trackability. A proposed smart guidewire system uses either one- or two-way shape-memory alloy nitinol (1W-SMA, 2W-SMA) wires (0.015, 381µm nitinol wire). Bending stiffness was measured using in vitro test system, which contains the NI USB-9162 data logger and LabView Signal Express 2010. Temperature distribution and displacement were evaluated via recording a 60Hz movie using a SC325 camera. Hemocompatibility was evaluated by scanning electron microscopy after one heating cycle of nitinol under the Na-citrate porcine whole blood circulation. A smart guidewire showed 30 degrees bending after applying or disconnecting electrical current. While the temperature of the nitinol wires increased more than 70 °C, the surrounding temperature with the commercially available catheter coverings showed below human body temperature showing 30 ̴ 33 °C. There was no significant platelet attachment or blood coagulation when the guidewire operates. Novel smart guidewires have been developed using shape memory alloy nitinol, which may represent a novel alternative to typical commercially available guidewires for interventional procedures.

Proceedings Article | 23 March 2015 Paper

A novel low profile wireless flow sensor to monitor hemodynamic changes in cerebral aneurysm

Yanfei Chen, Brian Jankowitz, Sung Kwon Cho, Youngjae Chun

Proceedings Volume 9438, 943829 (2015) https://doi.org/10.1117/12.2084250

KEYWORDS: Sensors, Capacitance, Prototyping, Polyurethane, Hemodynamics, Cerebral aneurysms, Electrodes, Thin films, Blood, Capacitors

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A proof of concept of low-profile flow sensor has been designed, fabricated, and subsequently tested to demonstrate its feasibility for monitoring hemodynamic changes in cerebral aneurysm. The prototype sensor contains three layers, i.e., a thin polyurethane layer was sandwiched between two sputter-deposited thin film nitinol layers (6μm thick). A novel superhydrophilic surface treatment was used to create hemocompatible surface of thin nitinol electrode layers. A finite element model was conducted using ANSYS Workbench 15.0 Static Structural to optimize the dimensions of flow sensor. A computational fluid dynamics calculations were performed using ANSYS Workbench Fluent to assess the flow velocity patterns within the aneurysm sac. We built a test platform with a z-axis translation stage and an S-beam load cell to compare the capacitance changes of the sensors with different parameters during deformation. Both LCR meter and oscilloscope were used to measure the capacitance and the resonant frequency shifts, respectively. The experimental compression tests demonstrated the linear relationship between the capacitance and applied compression force and decreasing the length, width and increasing the thickness improved the sensor sensitivity. The experimentally measured resonant frequency dropped from 12.7MHz to 12.48MHz, indicating a 0.22MHz shift with 200g ( 2N) compression force while the theoretical resonant frequency shifted 0.35MHz with 50g ( 0.5N). Our recent results demonstrated a feasibility of the low-profile flow sensor for monitoring haemodynamics in cerebral aneurysm region, as well as the efficacy of the use of the surface treated thin film nitinol for the low-profile sensor materials.

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