P
P.J. Benkeser
Researcher at Georgia Institute of Technology
Publications - 38
Citations - 398
P.J. Benkeser is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Phased array & Ultrasonic sensor. The author has an hindex of 11, co-authored 36 publications receiving 385 citations.
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Journal ArticleDOI
An Ultrasonic Phased Array Applicator for Hyperthermia
TL;DR: An ultrasonic phased array applicator for hyperthermia provides electronic steering of the sound beam rather than mechanical movement of the transducer assembly as mentioned in this paper, and the effects of various design parameters, including individual array height and length, are discussed.
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A Tapered Phased Array Ultrasound Transducer for Hyperthermia Treatment
TL;DR: Acoustical power output measurements indicate that tapered phased arrays are capable of providing the intensities necessary for producing therapeutic temperatures in tumors.
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Resolution limitations in intravascular ultrasound imaging.
TL;DR: Theoretic and experimental studies of the resolution of the two principal designs of intravascular ultrasonic transducers, the mechanically scanned single element and the multielement circular array, reveal that they have similar resolutions, however, the resolutions in two of the three dimensions are shown to decrease linearly with increasing radial distance.
Journal ArticleDOI
Cardiac segmentation by a velocity-aided active contour model
Jin-Soo Cho,P.J. Benkeser +1 more
TL;DR: A velocity-aided cardiac segmentation method based a modified active contour model, the tensor-based orientation gradient force (OGF) and phase contrast magnetic resonance imaging (MRI) has been developed to improve the accuracy of segmentation of the myocardial boundaries, especially the endocardial boundary.
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Comparison of septal defects in 2D and 3D echocardiography using active contour models.
TL;DR: This work will implement an active contour algorithm to automatically extract the endocardial borders of septal defects in echocardiographic images, and compare the size of the defects in the original 2D images and the 3D data sets.