Results 201 to 210 of about 993,506 (266)

Effect of Implant Angulation on Digital Impression Accuracy of Three-Unit Implant-Supported Restorations. [PDF]

Int Dent J
Ameri N, Arshad M, Ghaffari M, Habibzadeh S, Mosaddad SA.   +4 more
europepmc   +1 more source

Objective quality assessment for precision functional MRI data. [PDF]

Neuron
Lynch CJ, Chang M, Elbau I, Gordon EM, Laumann TO, Du J, Ladwig Z, Lueckel M, Perez DC, Summerville I, Chou J, Johnson M, Ho C, Manfredi N, Nilchian P, Solomonov N, Goldwaser E, Ng T, Moia S, Caballero-Gaudes C, Downar J, Vila-Rodriguez F, Gregory E, Daskalakis ZJ, Blumberger DM, Kay K, Buchanan DM, Williams N, Bhati MT, Clauss J, Zebley B, Victoria LW, Power JD, Grosenick L, Gunning FM, Liston C.   +35 more
europepmc   +1 more source

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Defect detection in C-scan maps

Pattern Recognition and Image Analysis, 2007
An image processing procedure is proposed aiming at detecting porosity defects in materials used in the aerospace industry by means of the analysis of C-scan images obtained by ultrasound inspection techniques. An image is described through a number of features, which are then analyzed in order to evaluate the similarity of an unknown examined image ...
Bozzi E, Cavaccini G, Chimenti M, Di Bono M G, Salvetti O   +4 more
openaire   +2 more sources

Fabrication of a novel C-scan photoacoustic imaging camera

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2015
Our objective is to provide researchers with an inexpensive and fast photoacoustic imaging (PAI) device for exvivo studies. We implement this using an acoustic lens based focusing idea together with photoacoustic technology, resulting in a prototype imaging system. A complete photoacoustic imaging system simulation modeling is presented.
Bhargava Chinni, Vikram Dogra, Zichao Han, Navalgund Rao, Pedro Vallejo, Wayne Knox, Julie Bentley, Ronald Wood   +7 more
openaire   +1 more source

Neural network correction of ultrasonic C-scan images

Ultrasonics, 1999
A neural network-based approach to the correction of C-scan images is presented. This allows the effects of a finite ultrasonic beam diameter in an immersion experiment to be considered, by training the network on a series of defects of known characteristics. The result is an image which is a better representation of the actual defect.
D A, Hutchins, A C, Pardoe, D R, Billson, E L, Hines   +3 more
openaire   +2 more sources