Reduction of grating lobes in SAFT images

Martín, Carlos Javier Blanco; Martínez-Graullera, Óscar; Ullate, L.G.; Octavio, A.; Godoy, Gregorio

doi:10.1109/ultsym.2008.0172

Cited by 15 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Esencialmente, el hardware está formado por una serie de componentes como son el multiplexor, pulsers, conversores analógico-digital, FP-GA y memorias, necesarios para realizar tanto la excitación de los pulsers y el control del multiplexor, así como la adquisión de la señales y el pre-procesamiento de los datos. En este trabajo se usa el método 2R-SAFT (Martin et al, 2008) como estrategia para la adquisición de los datos, el cuál requiereúnicamente un canal en emisión y dos en recepción. Esta técnica utiliza el concepto del coarray para realizar la conformación de haz, cómo se explica en detalle en la sección 3.…”

Section: Descripción Del Sistemaunclassified

“…El método 2R-SAFT (Martin et al, 2008) tiene una serie de ventajas frente a las técnicas SAFT convencionales. El uso de dos transductores en recepción permite eliminar los lóbulos de rejilla causantes de los artefactos característicos de los métodos SAFT con un bajo coste hardware, generando un coarray completo de 2N − 1 señales y permitiendo obtener imágenes con buen rendimiento, alta resolución lateral y sin lóbulos de rejilla (Martin et al, 2008).…”

Section: Concepto Del Coarray Adquisiciónunclassified

See 1 more Smart Citation

Paralelización de los procesos de conformación de haz para imagen ultrasónica con técnicas GPGPU

Romero-Laorden¹,

Martínez-Graullera²,

Martín-Arguedas³

et al. 2012

Revista Iberoamericana de Automática e Informática Industrial R

View full text Add to dashboard Cite

ResumenEl proceso de generación de imágenes ultrasónicas mediante técnicas de apertura sintética (SAFT) engloba dos grandes etapas:(1) la etapa de excitación y adquisición, donde se almacenan las señales recibidas por cada elemento o grupo de elementos, y (2) la etapa de conformación de haz o beamforming, en la que todas las señales se combinan juntas para obtener los pixeles de la imagen. El uso de hardware gráfico programable (GPUs) puede reducir significativamente el tiempo de cómputo de estaúltima etapa, debido a que se emplean algoritmos que incluyen diversas funciones como focalización dinámica, filtros paso banda, filtros espaciales o detección de envolvente. Este trabajo estudia la paralelización de los procesos de conformación de haz para imagen ultrasónica y presenta su implementación con técnicas GPGPU (General Purpose Computation on Graphics Processing Units). Se estudian asimismo los tiempos de ejecución a partir del número de señales involucradas y las dimensiones de la imagen deseada. Los resultados obtenidos muestran que mediante el uso de la GPU es posible acelerar, en más de un orden de magnitud con respecto a implementaciones equivalentes en CPU, los algoritmos de conformación de haz y de post-procesamiento haciendo posible el desarrollo de sistemas de imagen SAFT en tiempo real. Copyright c 2012 CEA. Publicado por Elsevier España, S.L. Todos los derechos reservados.Palabras Clave: algoritmos paralelos, procesamiento digital de señales, imagen ultrasónica, conformación de haz.

show abstract

Section: Descripción Del Sistemaunclassified

Section: Concepto Del Coarray Adquisiciónunclassified

Paralelización de los procesos de conformación de haz para imagen ultrasónica con técnicas GPGPU

Romero-Laorden¹,

Martínez-Graullera²,

Martín-Arguedas³

et al. 2012

Revista Iberoamericana de Automática e Informática Industrial R

View full text Add to dashboard Cite

show abstract

“…The pulser excitation, multiplexer control, acquisition of the signals and preprocessing are some of the actions that take place in this part. The acquisition strategy is based on the coarray tool, concretely in the 2R-SAFT method [9], which requires only one emission channel and two parallel receiving channels. This technique is explained in detail in the section III.…”

Section: System Overviewmentioning

confidence: 99%

“…According to this, the coarray may be expressed like a sum of several sub-coarrays, each one obtained as the convolution of two sub-apertures that represent the weights of the active elements used to emit and receive the signals each time. The 2R-SAFT method [9] has some advantages that are particularly useful to the aims of the present work. With this configuration, 2N − 1 signals are received, which are associated, one by one, to every virtual element of the coarray, producing thus a dense coarray of 2N-1 elements as it is observed in figure 3.…”

Section: Coarray Saft: Acquisitionmentioning

confidence: 99%

“…With this configuration, 2N − 1 signals are received, which are associated, one by one, to every virtual element of the coarray, producing thus a dense coarray of 2N-1 elements as it is observed in figure 3. As a consecuence, 2R-SAFT reduces the hardware cost (only one channel in emission and two channels in reception are needed) and generates a complete coarray, allowing to obtain images with good performance, high lateral resolution and grating lobes free [9]. Shifting an algorithm from CPU to be executed in GPU is not an easy task.…”

Section: Coarray Saft: Acquisitionmentioning

confidence: 99%

See 1 more Smart Citation

Using GPUs for beamforming acceleration on SAFT imaging

Romero

Martínez-Graullera

Martín

et al. 2009

2009 IEEE International Ultrasonics Symposium

Self Cite

View full text Add to dashboard Cite

SAFT techniques are based on the sequential activation, in emission and reception, of the array elements and the post-processing of all the received signals to compose the image. Thus, the image generation can be divided into two stages:(1) the excitation and acquisition stage, where the signals received by each element or group of elements are stored; and (2) the beamforming stage, where the signals are combined together to obtain the image pixels. The use of Graphics Processing Units (GPUs), which are programmable devices with a high level of parallelism, can accelerate the computations of the beamforming process, that usually includes different functions such as dynamic focusing, band-pass filtering, spatial filtering or envelope detection. This work shows that using GPU technology can accelerate, in more than one order of magnitude with respect to CPU implementations, the beamforming and post-processing algorithms in SAFT imaging.

show abstract

Improving elevation resolution in phased-array inspections for NDT

Brizuela

Camacho

Cosarinsky

et al. 2019

NDT & E International

View full text Add to dashboard Cite

The Phased Array Ultrasonic Technique (PAUT) offers great advantages over the conventional ultrasound technique (UT), particularly because of beam focusing, beam steering and electronic scanning capabilities. However, the 2D images obtained have usually low resolution in the direction perpendicular to the array elements, which limits the inspection quality of large components by mechanical scanning. This paper describes a novel approach to improve image quality in these situations, by combining three ultrasonic techniques: Phased Array with dynamic depth focusing in reception, Synthetic Aperture Focusing Technique (SAFT) and Phase Coherence Imaging (PCI). To be applied with conventional NDT arrays (1D and non-focused in elevation) a special mask to produce a wide beam in the movement direction was designed and analyzed by simulation and experimentally. Then, the imaging algorithm is presented and validated by the inspection of test samples. The obtained images quality is comparable to that obtained with an equivalent matrix array, but using conventional NDT arrays and equipments, and implemented in real time.

show abstract

Reduction of grating lobes in SAFT images

Cited by 15 publications

References 17 publications

Paralelización de los procesos de conformación de haz para imagen ultrasónica con técnicas GPGPU

Paralelización de los procesos de conformación de haz para imagen ultrasónica con técnicas GPGPU

Using GPUs for beamforming acceleration on SAFT imaging

Improving elevation resolution in phased-array inspections for NDT

Contact Info

Product

Resources

About