Single-chip CMUT-on-CMOS front-end system for real-time volumetric IVUS and ICE imaging

Gurun, Gokce; Tekeş, Coşkun; Zahorian, Jaime; Xu, Toby; Satır, Sarp; Karaman, Mustafa; Hasler, Jennifer; Degertekin, F. Levent

doi:10.1109/tuffc.2014.6722610

Cited by 152 publications

(100 citation statements)

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“…The tool infrastructure offers flexibility depending on the user. A system designer would choose from multiple voltage and current references depending on the application [3,4,12,13]. Then, the system along with the selected references would be compiled on the FPAA.…”

Section: Analog Processing and Temperature Dependencementioning

confidence: 99%

Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform

Shah

Töreyin

Hasler

et al. 2017

JLPEA

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This paper investigates the variability of various circuits and systems over temperature and presents several methods to improve their performance over temperature. The work demonstrates use of large scale reconfigurable System-On-Chip (SOC) for reducing the variability of circuits and systems compiled on a Floating Gate (FG) based Field Programmable Analog Array (FPAA). Temperature dependencies of circuits are modeled using an open-source simulator built in the Scilab/XCOS environment and the results are compared with measurement data obtained from the FPAA. This comparison gives further insight into the temperature dependence of various circuits and signal processing systems and allows us to compensate as well as predict their behavior. Also, the work presents several different current and voltage references that could help in reducing the variability caused due to changes in temperature. These references are standard blocks in the Scilab/Xcos environment that could be easily compiled on the FPAA. An FG based current reference is then used for biasing a 12 × 1 Vector Matrix Multiplication (VMM) circuit and a second order G m − C bandpass filter to demonstrate the compilation and usage of these voltage/current reference in a reconfigurable fabric. The large scale FG FPAA presented here is fabricated in a 350 nm CMOS process.Keywords: circuits and system; temperature dependence; reference generator; FPAA Analog Processing and Temperature DependenceThe number of systems combining elements from within and among the emerging technologies of sensors, communications, and robotics grows every day. The computational abilities of these systems affect the overall system performance through various aspects (e.g., functionality, battery-life, foot-print, etc.). Traditionally most computational tasks have been performed in the digital domain, which can achieve high resolution computation at the cost of high power consumption [1]. For systems with a limited power budget, however, low-power, real-time computation techniques have been sought after. Accordingly, analog-signal-processing has been used extensively as an energy-efficient alternative to digital options [2][3][4].Recent mixed-mode large-scale Field-Programmable Analog Array (FPAA) enables advanced functionality for a wide spectrum of sensor applications [5]. These FPAAs combine the energy-efficiency, reconfigurability, and programmability of floating-gate-based analog signal processing with the precision and compatibility of digital, thereby a variety of analog circuitry implemented on FPAAs serve as building blocks of more complex signal processing functions [5].Many of the systems that can benefit from the computational power of an FPAA need to operate over a range of environments and temperatures. For instance, modern ubiquitous medical health assessment systems use physiologic signals collected from ambulatory subjects during daily outdoor

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Section: Analog Processing and Temperature Dependencementioning

confidence: 99%

Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform

Shah

Töreyin

Hasler

et al. 2017

JLPEA

Self Cite

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“…Equations (1) to (5) describe the plate's motion [22,23] The list of parameters used in equation (1) to (5) (and values that were used for simulations) are shown in Table 1. These…”

Section: Equivalent Circuit Modelmentioning

confidence: 99%

A Simplified Equivalent Circuit Model of MEMS Electrostatic Actuator

Chawda¹

2017

IJCA

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Modeling a MEMS (Micro Electro-Mechanical Systems) electrostatic actuator in electrical domain is important for system simulation of the actuator along with its associated electronics. For instance, an integrated MEMS resonator used in a serial I/O PLL design modeled in electrical domain enables to optimize the system with the rest of the electronics. In this work, we have developed a simplified equivalent circuit model for MEMS electrostatic actuator and simulated it using Natspice, a U.C. Berkeley SPICE3f5-based in-house circuit simulator. The equations governing the actuator are implemented using coupled RL and RLC circuit, defined in SPICE and Verilog-A. Natspice simulation results are presented and compared with Matlab results which show very high correlation. A system consisting of an array of MEMS devices can be quickly simulated using this simplified model.

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“…69 Sync Vision™ (Volcano Corporation) will use a built-in device motion indicator and combine anatomical and functional assessment using IVUS and instantaneous Wave-Free Ratio (iFR) co-registration. New transducer technology will offer advancements like increased image resolution, multi-frequency devices, real-time volumetric ultrasound imaging capability, 70 and software improvements to facilitate image interpretation and increase ease of use. IVUS on guide-wires and forward-looking IVUS for use in CTOs are attractive options that may soon complement our current interventional armamentarium.…”

Section: Future Directionsmentioning

confidence: 99%

Impact of Intravascular Ultrasound in Clinical Practice

Vásquez

Mistry

Singh

2014

Interventional Cardiology Review

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Intravascular ultrasound (IVUS) has expanded our understanding of atherosclerotic plaque morphology, and provides an opportunity to guide cardiovascular interventions and evaluate results. Use of this technique requires understanding of ultrasound physics, catheter differences, skills in vessel, plaque and stent quantification and knowledge of artifacts and various physiologic and pathologic findings. Optimal cardiovascular interventions should result in absence of inflow or outflow obstruction, precise geographic landing, while attaining the largest feasible luminal gain without plaque protrusion, vessel dissection or perforation and, if deployed, with complete stent expansion and apposition to the vessel wall. IVUS is safe, cost efficient and effectively optimises cardiovascular interventions. In addition, IVUS improves outcomes when used to guide coronary interventions using bare metal stents (BMS) and drug eluting stents (DES). The role of IVUS in endovascular therapy is rapidly expanding. This review will focus on the impact of IVUS in clinical practice.

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Single-chip CMUT-on-CMOS front-end system for real-time volumetric IVUS and ICE imaging

Cited by 152 publications

References 45 publications

Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform

Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform

A Simplified Equivalent Circuit Model of MEMS Electrostatic Actuator

Impact of Intravascular Ultrasound in Clinical Practice

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