A multimode real time scanner

Carpenter, D. A.; Dadd, Michael; Kossoff, G.

doi:10.1016/0301-5629(80)90024-1

Cited by 44 publications

(23 citation statements)

References 3 publications

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“…Note that the detection SNRs defined in Eqs. (10) and (II) can become positive and negative, depending on the intensity levels of the lesion area and the background area. Thus, it is the numerical value of the detection SNR that is of importance when trying to estimate whether a lesion region is detectable or not; the sign of the SNR simply describes whether the lesion region has positive or negative contrast relative to the background.…”

Section: Detectability Of Low Contrast Regionsmentioning

confidence: 99%

Multi-Angle Compound Imaging

1998

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This paper reports on a scanning technique, denoted multi-angle compound imaging (MACI), using spatial compounding. The MACI method also contains elements of frequency compounding, as the transit frequency is lowered for the highest beam angles in order to reduce grating lobes. Compared to conventional B-mode imaging MACI offers better defined tissue boundaries and lower variance of the speckle pattern, resulting in an image with reduced random variations. Design and implementation of a compound imaging system is described, images of rubber tubes and porcine aorta are shown and effects on visualization are discussed. The speckle reduction is analyzed numerically and the results are found to be in excellent agreement with existing theory. An investigation of detectability of low-contrast lesions shows significant improvements compared to conventional imaging. Finally, possibilities for improving diagnosis of atherosclerotic diseases using MACI are discussed.

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Section: Detectability Of Low Contrast Regionsmentioning

confidence: 99%

Multi-Angle Compound Imaging

1998

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“…In the resulting images, the structural targets show consistently strong echoes while speckles show reduction in the brightness Consequently, the structural targets in spatially compounded images are enhanced and variations in the soft tissues due to speckle noise are averaged out [16]. This has been demonstrated both in vitro [14,17] and in vivo [11,[18][19][20][21][22]. These results indicate that spatial compounding can enhance the delineation of the boundaries and internal structure of lesions.…”

Section: Introductionmentioning

confidence: 72%

Spatial Compounding of Ultrasonic Diagnostic Images for Rotating Linear Probe with Geometric Parameter Error Compensation

Choi¹,

Bae²

2014

Journal of Electrical Engineering and Technology

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-In ultrasonic medical imaging, spatial compounding of images is a technique where ultrasonic beam is steered to examine patient tissues in multiple angles. In the conventional ultrasonic diagnostic imaging, the steering of the ultrasonic beam is achieved electronically using the phased array transducer elements. In this paper, a spatial compounding approach is presented where the ultrasonic probe element is rotated mechanically and the beam steering is achieved mechanically. In the spatial compounding, target position is computed using the value of the rotation axis and the transducer array angular position. However, in the process of the rotation mechanism construction and the control system there arises the inevitable uncertainties in these values. These geometric parameter errors result in the target position error, and the consequence is a blurry compounded image. In order to reduce these target position errors, we present a spatial compounding scheme where error correcting transformation matrices are computed and applied to the raw images before spatial compounding to reduce the blurriness in the compounded image. The proposed scheme is illustrated using phantom and live scan images of human knee, and it is shown that the blurriness is effectively reduced.

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“…Ultrasonic scanning is used routinely to diagnose and quantify lesions in the carotid arteries (Londrey et al 1991;Sillesen et al 1988), but detection of the above situation is still premature. Spatial compound imaging (Berson et al 1981;Carpenter et al 1980;Entrekin et al 1999;Hernandez et al 1996;Jespersen et al 1998;Shattuck and Ramm 1982;Trahey et al 1986) might be able to improve the accuracy of plaque evaluation, but this remains to be investigated.…”

Section: Introductionmentioning

confidence: 96%