Fiber optic sensors enable new MHI applications.
Designing equipment that can operate within the extreme electromagnetic fields present in an MRI suite is extremely challenging. The MRI suite precludes the use of conventional components and structures fabricated from ferrous-based materials, nickel alloys and most stainless steel materials--including electronics, electric motors, and other commonly used electrical and electromechanical devices. Magnetically attracted metals--small or large--can become harmful projectiles and either damage the machine or affect patient/operator safety. Also, improper materials can create undesirable artifacts or distortions, which affect the quality of the imaging results.
Our central focus is the development and application of MRI compatible fiber optic sensors necessary for closing the loop--specifically for measuring position, speed, and limits. In this article, we present three MRI-based motion control applications which demonstrate the operation and use of recently developed, commercially available MRI safe fiber optic-based feedback sensors.
What is a fiber optic sensor?
As shown in Figure 1, a fiber optic sensor alters the properties of the light passing through the device based on a physical quantity imparted on the device. In this sense, the fiber optic sensor is not a true transducer--it does not convert one form of energy into another--but is instead a "sensing element," which changes a characteristic parameter of the light injected into the sensor. Hence, a typical fiber optic sensor system consists of three parts: the fiber coupled "passive" optical sensor, the "active" interrogator or system interface, and the fiber optic light path or link that connects them. Because of its low loss and ability to transmit interference-free over long distances, the fiber optic link provides the means of locating the active interrogator/system interface outside the MRI Scanner (Zone 4) Area.
How does a fiber optic position sensor work?
Typically optical power (light) is sent to the sensor where the light is being altered or changed in amplitude, wavelength, polarization, etc. Other sensors measure the time of flight of the light while the physical property changes the optical path length.
The simplest form of a fiber optic sensor is an optic limit switch, where the presence or absence of an object in the light path must be determined. In this case, evaluating the ON-OFF state of light is sufficient and works reliably. To the fiber optic designer, it is an unfortunate reality that optical amplitude within a fiber optic link is not stable and cannot be relied on for making absolute measurements. Long-term source degradation, fiber bending, and fiber optic connector non-repeatability all affect optical transmission over time, and environmental factors severely affect measurement accuracy. Fiber optic communication links are reliable because they transmit digital information, and all receivers incorporate an automatic gain control (AGC) amplifier.
Thus, position sensors that depend on light amplitude modulation have proven to be unstable, inaccurate, and unreliable. Spectral-based techniques are much more reliable because they are not affected by light intensity. Whether the light level is low For over Compone Corporati the indust test point or high, the spectral light distribution in the fiber remains the same. For instance, Fiber Bragg Gratings are one such technology which alter the spectral behavior but are affected by temperature, making for a poor position sensor. The key optical innovation is that the position information is embedded into the optical spectrum and provides accurate, high resolution position information unaffected by varying losses or degradation in the fiber optic link. Using the optical spectrum as the information carrier rather than amplitude assures reliable accuracy, even when the fiber link installation is degraded.
The interrogator/controller transmits a broadband light pulse to the sensor via the input fiber. Based on the position of the rotary code wheel, the internal optics passively convert this light pulse source into a return signal transmitted over the output fiber, in which the spectral pattern is essentially a unique binary representation of the rotary encoder's angular position. Internally, the interrogator functions like a spectral analysis system in which the optical return signal is imaged onto a CCD and the resultant spectral signature analyzed and converted to an angular position code.
The second innovation is its fabrication from non-metallic materials, which makes it completely RF transparent. This was not a simple substitution of non-metallic materials versus the original MR332 "Metallic" industrial sensor design. Due to the accuracy required, the materials must be extremely stable over temperature, humidity, and time. Internally, the sensor accurately resolves down to 4 pun, so any shift of the material introduces an error in position reading. Although many plastic materials have a suitable low temperature coefficient, as is typical for plastics, they exhibit hygroscopic property, which means they change size based on moisture content. A suitable ceramic-like material is used for alignment of the dimensionally critical optics. This part is fabricated using high precision stereo lithographic fabrication technology.
The resulting position sensor system offers 13-bit (8192 counts or 0.0441 single turn resolution and 12-bit (4096 count) multiturn tracking. The same optical technique is also applied to a fiber optic linear position sensing system.
Case Study #1--MRI safe patient pedaling system for validating fMRI techniques
Functional MRI (INIRI) is the technique of using the MRI to observe brain function based on imaging blood flow and oxygen metabolism in the brain. One fMRI research area is the study of brain impairment caused by injury or strokes and the follow-on evaluation of the effectiveness of various treatments and rehabilitation techniques.
Marquette University designed the DARI patient pedaling device shown in Figure 3A. Using the Micronor MR318 fiber optic incremental encoder output to monitor speed and angular position/leg extension, the experiments were successful in correlating specific motor activity with corresponding observed cortical brain activity. Some of the results are shown in Figure 3B depicting functional images which correlate three unique motor activities (pedaling, foot tapping and finger tapping) to specific cortical activity areas in the brain. This initial study was the first time that human brain activity associated with controlled pedaling had been accurately recorded and correlated with fMRI imaging.
Case Study #2--MRI safe device for studying mechanics of traumatic brain injury (TBI)
The Henry M. Jackson Foundation For the Advancement of Military Medicine (HJF) of the National Institute of Health (NIH) is investigating the mechanics of traumatic brain injury. The MRI safe device imparts a mild angular acceleration to the skull of a human volunteer inside an MRI scanner. An MRI compatible fiber optic absolute position sensor is used to measure angular position as well as capture instantaneous velocity and acceleration during an experiment. This data is then correlated in real time with the MRI imaging. The simulated trauma event takes place within approximately 400 ms. The sensor system controller offers a hardware function that outputs a real-time trigger for synchronizing the MRI imaging to the head position within 0.04[degrees]. The fiber sensors' high resolution of 8192 and fast update rate of 850 1.is allows a recording of some 500 data points for one event. With this amount of fine grained data available, the research team is able to extract both velocity and acceleration information from the recorded data.
Case Study #3--MRI safe treadmill for advanced cardiac stress testing
Heart disease is the leading cause of death in the United States. EXCMR Inc. has developed an MRI safe treadmill for advanced cardiac stress testing and heart imaging. MRI cardiac imaging provides superior imaging evaluation and patient safety over traditional nuclear or ultrasound techniques. By placing the treadmill in the MRI suite, EXCMR is able to do cardiac imaging immediately after exercise (within 30 seconds) before stress induced cardiac abnormalities can dissipate. These images cannot be acquired quickly enough if the treadmill is located remotely from the imaging system.
The MRI Safe Treadmill is operated immediately adjacent to the MRI Scanner (Zone 4) where certain approved metallic materials may be used. However active electronic equipment is not permissible. The motor is hydraulic powered, and all feedback sensors must be electronically passive. The patient Emergency Stop, Treadmill Incline and Speed are purpose-designed MRI safe sensors connected to the Integrated Controller located in the monitoring room (Zone 3) via a heavy duty, 50-foot, six-fiber optical cable.
In conclusion, fiber optic sensor technology is a key enabler for the development of functional MRI safe motion control systems. Fiber optic sensors are inherently passive and immune to magnetic fields. Optical fiber provides an ideal all-dielectric transmission medium between the MRI Scanner (Zone 4) and the MRI Control/ Equipment Rooms (Zone 3). Fabricated from the proper materials, MRI safe fiber optic sensors provide the electromagnetic transparency for safe use in and around the extreme electromagnetic field strength of the MRI Scanner. They are robust, easy to install and do not create artifacts or otherwise affect imaging results even when used inside the MRI tunnel.
The authors wish to acknowledge the following people for their special contributions to this article: Dr. Sheila Schindler-Ivens, Assistant Professor, Dept of Physical Therapy, Marquette University, Milwaukee-WI. Dr. Andrew Knutsen, Postdoctoral Fellow, The Henry M Jackson Foundation For The Advancement of Militaly Medicine, National Institute of Health, Bethesda-MD. Mr. Vijay Balasubramanian, Product Development Engineer, EXCMR Inc., Columbus-OH.
RELATED ARTICLE: Powerful options for remote sensors
By Sol Jacobs, Tadiran
Batteries Remote wireless sensors intended for extreme environments and hard-to-access locations demand proper power management systems. If the device is self-powered and intended for long-term use, two solutions are available: a primary lithium thionyl chloride (LiSOC12) battery or an energy harvesting device using a rechargeable lithium-ion battery for energy storage. When recharging or replacing a battery is not an option, the preferred choice is bobbin-type lithium thionyl chloride (LiSOC12) chemistry due to high energy density, wide temperature range, and low annual self-discharge rate. Bobbin-type LiSOCl2 batteries have a proven track record of success, including sensors still operational after 28+ years on their original batteries. Several varieties of this battery are available to match application-specific requirements. The emergence of low power communications protocols like ZigBee, Green Power. Bluetooth LE, and 6LowPan has increased demand for energy harvesting devices coupled with rechargeable lithium-ion batteries for storage. Consumer-grade rechargeable lithium-ion batteries are generally unsuited to harsh environments, demanding a new generation of rechargeable lithium-ion battery that utilizes a technology based on a patented hybrid layer capacitor (HLC) to deliver pulses of up to 15 A, with 20-year service life, 5,000 recharge cycles, and the ability to withstand -40[degrees]C to 85[degrees]C. Design engineers have two viable options for powering remote wireless sensors: bobbin-type LiSOCl2 batteries and energy harvesting devices teamed with more robust lithium-ion rechargeable batteries.
By Dennis Horwitz and Robert Rickenbach, Micronor Inc.
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|Author:||Horwitz, Dennis; Rickenbach, Robert|
|Publication:||ECN-Electronic Component News|
|Date:||May 1, 2014|
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