An MR-Compatible Optical Force Sensor for Human Function Modeling

Tada, Minoru; Kanade, Takeo

doi:10.1007/978-3-540-30136-3_17

Cited by 16 publications

(10 citation statements)

References 10 publications

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“…Several researchers have developed various fMRIcompatible devices using pneumatics control [7][8][9] and optical-fiber [4][5][6]. However, fiber-optic-based devices are limited to only sensing and recording response information.…”

Section: Fmri-compatible Devicesmentioning

confidence: 99%

“…Optical fiber-based sensing has been used in various fMRI applications such as force measurement [4], motor response [5], and a musical instrument [6] because of its small size, it is not affected by electromagnetic interference (EMI), and presents no electromagnetic susceptibility (EMS). Due to its popularity, there are some commercial providers that offer fMRI-compatible fiber-optic devices for recording participant' responses during fMRI scans.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Air Properties for fMRI-Compatible Interaction Devices

Putra

2018

MATEC Web Conf.

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The strong magnetic field of functional magnetic resonance imaging (fMRI) and the supine position of participants in fMRI scanners severely limit how participants can interact during fMRI experiments. This paper explores the use of air properties to design interaction-device systems that allow various interaction styles inside a fMRI scanner. Airflow and air pressure are explored to design and develop the interaction system. A series of air-based devices are introduced and discussed to demonstrate the feasibility of an air-based approach. This includes soft tactile and conventional controls (e.g., button, slider, joystick, pedal). To achieve fMRI-compatibility, all parts used inside the scanner are built from non-ferromagnetic, off-the-shelf plastic, and/or 3D printed materials. The fMRI compatibility was evaluated on a 3.0 Tesla fMRI scanner. We conclude with example applications and thoughts on future avenues of research.

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Section: Fmri-compatible Devicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring Air Properties for fMRI-Compatible Interaction Devices

Putra

2018

MATEC Web Conf.

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“…[9] proposed a 6-axis fiber-optic force sensor. Tada and Kanade [10] and Tokuno [11] proposed using lens to improve the sensing performance. Recently, Puangmali et al .…”

Section: Introductionmentioning

confidence: 99%

Triaxial MRI-Compatible Fiber-optic Force Sensor

et al. 2011

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Magnetic resonance imaging (MRI) has been gaining popularity over standard imaging modalities like ultrasound and CT because of its ability to provide excellent soft-tissue contrast. However, due to the working principle of MRI, a number of conventional force sensors are not compatible. One popular solution is to develop a fiber-optic force sensor. However, the measurements along the principal axes of a number of these force sensors are highly cross-coupled. One of the objectives of this paper is to minimize this coupling effect. In addition, this paper describes the design of elastic frame structures that are obtained systematically using topology optimization techniques for maximizing sensor resolution and sensor bandwidth. Through the topology optimization approach, we ensure that the frames are linked from the input to output. The elastic frame structures are then fabricated using polymers materials, such as ABS and Delrin®, as they are ideal materials for use in MRI environment. However, the hysteresis effect seen in the displacement-load graph of plastic materials is known to affect the accuracy. Hence, this paper also proposes modeling and addressing this hysteretic effect using Prandtl-Ishlinskii play operators. Finally, experiments are conducted to evaluate the sensor’s performance, as well as its compatibility in MRI under continuous imaging.

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“…The reaction force is simultaneously measured by using an MR-compatible force sensor [7]. MR image processing: Extract the displacement field within the tissue by applying an image registration technique to the obtained MR images.…”

Section: Mr Compression Testmentioning

confidence: 99%

“…Different from similar approaches presented in the literature [6], we employ an MR-compatible optical force sensor [7] in order to determine the strict boundary conditions for the FE analysis. Furthermore, the extended Kalman filter used in the iterative optimization help us to achieve fast convergence to the final estimate.…”

Section: Introductionmentioning

confidence: 99%

Material Properties Estimation of Layered Soft Tissue Based on MR Observation and Iterative FE Simulation

Tada

Nagai

Maéno

2005

Lecture Notes in Computer Science

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Abstract. In order to calculate deformation of soft tissue under arbitrary loading conditions, we have to take both non-linear material characteristics and subcutaneous structures into considerations. The estimation method of material properties presented in this paper accounts for these issues. It employs a compression test inside MRI in order to visualize deformation of hypodermic layered structure of living tissue, and an FE model of the compressed tissue in which non-linear material model is assigned. The FE analysis is iterated with updated material constant until the difference between the displacement field observed from MR images and calculated by FEM is minimized. The presented method has been applied to a 3-layered silicon rubber phantom. The results show the excellent performance of our method. The accuracy of the estimation is better than 15 %, and the reproducibility of the deformation is better than 0.4 mm even for an FE analysis with different boundary condition.

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An MR-Compatible Optical Force Sensor for Human Function Modeling

Cited by 16 publications

References 10 publications

Exploring Air Properties for fMRI-Compatible Interaction Devices

Exploring Air Properties for fMRI-Compatible Interaction Devices

Triaxial MRI-Compatible Fiber-optic Force Sensor

Material Properties Estimation of Layered Soft Tissue Based on MR Observation and Iterative FE Simulation

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