Region-of-Interest-Based Closed-Loop Beamforming for Spinal Ultrasound Imaging

Author(s):  
Bo Zhuang ◽  
Robert Rohling ◽  
Purang Abolmaesumi
2020 ◽  
pp. 227-236
Author(s):  
Rafal Baraz

The use of ultrasound to aid location of the spinal and epidural space is not a new concept but has gained increasing popularity, particularly in woman who are obese, have abnormal spinal anatomy, or where regional placement has or is proving difficult. The benefits and challenges of spinal ultrasound imaging are discussed, with the methods to scan and obtain the right views or planes with the supporting images for spinal and epidural techniques. The use of ultrasound to perform a transversus abdominis plane (TAP) block is also illustrated. The chapter concludes with a section on the additional applications of ultrasound for vascular access and gastric volume estimation.


Author(s):  
Steven de Reuver ◽  
Rob C. Brink ◽  
Timothy T. Y. Lee ◽  
Yong-Ping Zheng ◽  
Frederik J. A. Beek ◽  
...  

Abstract Purpose Adolescent idiopathic scoliosis (AIS) patients are exposed to 9–10 times more radiation and a fivefold increased lifetime cancer risk. Radiation-free imaging alternatives are needed. Ultrasound imaging of spinal curvature was shown to be accurate, however, systematically underestimating the Cobb angle. The purpose of this study is to create and cross-validate an equation that calculates the expected Cobb angle using ultrasound spinal measurements of AIS patients. Methods Seventy AIS patients with upright radiography and spinal ultrasound were split randomly in a 4:1 ratio to the equation creation (n = 54) or validation (n = 16) group. Ultrasound angles based on the spinous processes shadows were measured automatically by the ultrasound system (Scolioscan, Telefield, Hong Kong). For thoracic and lumbar curves separately, the equation: expected Cobb angle = regression coefficient × ultrasound angle, was created and subsequently cross-validated in the validation group. Results Linear regression analysis between ultrasound angles and radiographic Cobb angles (thoracic: R2 = 0.968, lumbar: R2 = 0.923, p < 0.001) in the creation group resulted in the equations: thoracic Cobb angle = 1.43 × ultrasound angle and lumbar Cobb angle = 1.23 × ultrasound angle. With these equations, expected Cobb angles in the validation group were calculated and showed an excellent correlation with the radiographic Cobb angles (thoracic: R2 = 0.959, lumbar: R2 = 0.936, p < 0.001). The mean absolute differences were 6.5°–7.3°. Bland–Altman plots showed good accuracy and no proportional bias. Conclusion The equations from ultrasound measurements to Cobb angles were valid and accurate. This supports the implementation of ultrasound imaging, possibly leading to less frequent radiography and reducing ionizing radiation in AIS patients.


Author(s):  
Thiago Alberto Rigo Passarin ◽  
Daniel Rodrigues Pipa ◽  
Marcelo Victor Wüst Zibetti

Model-based image reconstruction has brought improvements in terms of contrast and spatial resolution to imaging applications such as magnetic resonance imaging and emission computed tomography. However, their use for pulse-echo techniques like ultrasound imaging is limited by the fact that model-based algorithms assume a finite grid of possible locations of scatterers in a medium -- which does not reflect the continuous nature of real world objects and creates a problem known as off-grid deviation. To cope with this problem, we present a method of dictionary expansion and constrained reconstruction that approximates the continuous manifold of all possible scatterer locations within a region of interest. The expanded dictionary is created using a highly coherent sampling of the region of interest, followed by a rank reduction procedure based on a truncated singular value decomposition. We develop a greedy algorithm, based on the Orthogonal Matching Pursuit (OMP), that uses a correlation-based non-convex constraint set that allows for the division of the region of interest into cells of any size. To evaluate the performance of the method, we present results of 2-dimensional ultrasound image reconstructions with simulated data in a nondestructive testing application. Our method succeeds in the reconstructions of sparse images from noisy measurements, providing higher accuracy than previous approaches based on regular discrete models.


2001 ◽  
Vol 12 (11) ◽  
pp. 970-979 ◽  
Author(s):  
J. P. W. van den Bergh ◽  
C. Noordam ◽  
J. M. Thijssen ◽  
B. J. Otten ◽  
A. G. H. Smals ◽  
...  

2019 ◽  
Vol 35 (2) ◽  
pp. 162-166 ◽  
Author(s):  
Jim Baun

Ultrasound imaging continues to break through scientific and engineering ceilings that have formerly restricted the type and quality of information available. Limited by the temporal, data acquisition, and processing constraints inherent in traditional beamforming technology, ultrasound systems did not have the capacity to acquire and process large amounts of raw acoustic data fast enough to move beyond standard imaging modalities. While traditional beamforming capabilities can provide high-quality and high-resolution images, sensitive Doppler modes, and other advanced imaging applications, there have been limitations to creating new applications that use the information contained within the received acoustic data set. This has all changed with the introduction of ultrasound imaging systems that acquire and process significantly more acoustic data quickly. Upgraded, state-of-the-art digital signal processing (DSP) capabilities have made new imaging possibilities, including enhanced B-mode tissue characterization. This modality helps to differentiate areas within a region of interest based on the unique acoustic characteristics of the tissues insonated.


2013 ◽  
Vol 25 (6) ◽  
pp. 1088-1096 ◽  
Author(s):  
Norihiro Koizumi ◽  
◽  
Joonho Seo ◽  
Takakazu Funamoto ◽  
Yutaro Itagaki ◽  
...  

Unwanted motion is a serious problem in enhancing servoing performance in an affected area, which incorporates stones/tumours in non-invasive ultrasound theragnostic systems (NIUTS). To solve this problem, we proposed a new method for restricting the motion of the affected area ventrodorsally in the region of interest (ROI) in ultrasound imaging. To do so, we introduce a bed mechanism for NIUTS. It is confirmed that a human kidney could be tracked and followed appropriately using the proposedmethod and the newly constructed bed system.


1997 ◽  
Vol 7 (4) ◽  
pp. 363-369 ◽  
Author(s):  
B. Fournier ◽  
C. Chappard ◽  
C. Roux ◽  
G. Berger ◽  
P. Laugier

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4097 ◽  
Author(s):  
Thiago Rigo Passarin ◽  
Marcelo Wüst Zibetti ◽  
Daniel Rodrigues Pipa

Model-based image reconstruction has improved contrast and spatial resolution in imaging applications such as magnetic resonance imaging and emission computed tomography. However, these methods have not succeeded in pulse-echo applications like ultrasound imaging due to the typical assumption of a finite grid of possible scatterer locations in a medium–an assumption that does not reflect the continuous nature of real world objects and creates a problem known as off-grid deviation. To cope with this problem, we present a method of dictionary expansion and constrained reconstruction that approximates the continuous manifold of all possible scatterer locations within a region of interest. The expanded dictionary is created using a highly coherent sampling of the region of interest, followed by a rank reduction procedure. We develop a greedy algorithm, based on the Orthogonal Matching Pursuit, that uses a correlation-based non-convex constraint set that allows for the division of the region of interest into cells of any size. To evaluate the performance of the method, we present results of two-dimensional ultrasound imaging with simulated data in a nondestructive testing application. Our method succeeds in the reconstructions of sparse images from noisy measurements, providing higher accuracy than previous approaches based on regular discrete models.


Author(s):  
R.J. Mount ◽  
R.V. Harrison

The sensory end organ of the ear, the organ of Corti, rests on a thin basilar membrane which lies between the bone of the central modiolus and the bony wall of the cochlea. In vivo, the organ of Corti is protected by the bony wall which totally surrounds it. In order to examine the sensory epithelium by scanning electron microscopy it is necessary to dissect away the protective bone and expose the region of interest (Fig. 1). This leaves the fragile organ of Corti susceptible to physical damage during subsequent handling. In our laboratory cochlear specimens, after dissection, are routinely prepared by the O-T- O-T-O technique, critical point dried and then lightly sputter coated with gold. This processing involves considerable specimen handling including several hours on a rotator during which the organ of Corti is at risk of being physically damaged. The following procedure uses low cost, readily available materials to hold the specimen during processing ,preventing physical damage while allowing an unhindered exchange of fluids.Following fixation, the cochlea is dehydrated to 70% ethanol then dissected under ethanol to prevent air drying. The holder is prepared by punching a hole in the flexible snap cap of a Wheaton vial with a paper hole punch. A small amount of two component epoxy putty is well mixed then pushed through the hole in the cap. The putty on the inner cap is formed into a “cup” to hold the specimen (Fig. 2), the putty on the outside is smoothed into a “button” to give good attachment even when the cap is flexed during handling (Fig. 3). The cap is submerged in the 70% ethanol, the bone at the base of the cochlea is seated into the cup and the sides of the cup squeezed with forceps to grip it (Fig.4). Several types of epoxy putty have been tried, most are either soluble in ethanol to some degree or do not set in ethanol. The only putty we find successful is “DUROtm MASTERMENDtm Epoxy Extra Strength Ribbon” (Loctite Corp., Cleveland, Ohio), this is a blue and yellow ribbon which is kneaded to form a green putty, it is available at many hardware stores.


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