Measuring Skeletal Changes with Calcaneal Ultrasound Imaging in Healthy Children and Adults: The Influence of Size and Location of the Region of Interest

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 ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Region Of Interest ◽  
Healthy Children ◽  
Calcaneal Ultrasound ◽  
Skeletal Changes

scholarly journals Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit

2018 ◽  
Author(s):  
Thiago Alberto Rigo Passarin ◽  
Daniel Rodrigues Pipa ◽  
Marcelo Victor Wüst Zibetti
Keyword(s):  
Ultrasound Imaging ◽  
Matching Pursuit ◽  
Ultrasound Image ◽  
Simulated Data ◽  
Region Of Interest ◽  
Discrete Models ◽  
Low Rank ◽  
Emission Computed Tomography ◽  
Low Rank Approximation ◽  
Model Based

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.

scholarly journals Emerging Technology: Enhanced B-mode Tissue Characterization

2019 ◽  
Vol 35 (2) ◽  
pp. 162-166 ◽  
Author(s):  
Jim Baun
Keyword(s):  
Ultrasound Imaging ◽  
Tissue Characterization ◽  
Region Of Interest ◽  
Digital Signal ◽  
Data Set ◽  
Acoustic Data ◽  
High Resolution Images ◽  
New Applications ◽  
Data Acquisition And Processing

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.

Construction Methodology for NIUTS – Bed Servoing System for Body Targets –

2013 ◽  
Vol 25 (6) ◽  
pp. 1088-1096 ◽  
Author(s):  
Norihiro Koizumi ◽  
◽  
Joonho Seo ◽  
Takakazu Funamoto ◽  
Yutaro Itagaki ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Region Of Interest ◽  
Human Kidney ◽  
New Method ◽  
Affected Area ◽  
Non Invasive ◽  
Do So

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.

Reliability of B-Mode Ultrasound Imaging of the Lateral Abdominal Muscles in Healthy Children During the Active Straight Leg Raise Test

2014 ◽  
Vol 22 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Paweł Linek ◽  
E. Saulicz ◽  
T. Wolny ◽  
A. Myśliwiec
Keyword(s):  
Ultrasound Imaging ◽  
High Reliability ◽  
Repeated Measurements ◽  
The Body ◽  
Transversus Abdominis ◽  
Reflex Activity ◽  
Abdominal Muscles ◽  
Healthy Children ◽  
Thickness Change ◽  
Straight Leg Raise

Abstract Background: To date, reliability of ultrasound imaging (USI) measures of the abdominal muscles in children during the active straight leg raise (ASLR) test has not been confirmed. The aim of this study is to assess the intra-rater reliability of USI in measuring of the thickness and percent thickness change of the external oblique (EO), internal oblique (IO) and transversus abdominis (TrA) on both sides of the body during the ASLR test. Material/Methods: Thirty-two healthy children between 10-12 years old participated in the study. Three repeated USI measurements were recorded, in supine and resting positions and during the ASLR test. In supine position, measurements were collected at the end of normal expiration. In the case of ASLR, measurements were collected when the person undergoing examination touched the transverse delimiter with the distal part of the lower leg. A repeat session of the measurements was carried out 6 to 8 days later. Results: The use of mean value of the three repeated measurements showed that ICC3.3 fluctuated from 0.81 to 0.97 for OE, OI and TrA in resting position and during the ASLR test. In terms of percentage change of muscle thickness, the ICC3.3 result obtained for TrA, OE and IO were 0.86, 0.83 and 0.78, respectively. Conclusions: The USI evaluation of the lateral abdominal muscles thickness at rest has high reliability in children between 10-12 years old. The USI of the actual thickness and reflex activity of OE, OI and TrA during the ASLR test, based on three repeated measurements, is also reliable. It is recommended to perform three repeated measurements for children between 10-12 years old. There is still a need to seek solutions that will decrease the SDD value while evaluating the reflex activity of the lateral abdominal muscles during the ASLR test.

Quantitative ultrasound imaging at the calcaneus using an automatic region of interest

1997 ◽  
Vol 7 (4) ◽  
pp. 363-369 ◽  
Author(s):  
B. Fournier ◽  
C. Chappard ◽  
C. Roux ◽  
G. Berger ◽  
P. Laugier
Keyword(s):  
Ultrasound Imaging ◽  
Quantitative Ultrasound ◽  
Region Of Interest

scholarly journals Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4097 ◽  
Author(s):  
Thiago Rigo Passarin ◽  
Marcelo Wüst Zibetti ◽  
Daniel Rodrigues Pipa
Keyword(s):  
Ultrasound Imaging ◽  
Matching Pursuit ◽  
Simulated Data ◽  
Region Of Interest ◽  
Discrete Models ◽  
Low Rank ◽  
Emission Computed Tomography ◽  
Low Rank Approximation ◽  
Rank Reduction ◽  
Constrained Reconstruction

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.

scholarly journals Voxel-wise T2 relaxometry of Normal Pediatric Brain Development in 326 healthy infants and toddlers

2018 ◽  
Author(s):  
Vladimir S. Fonov ◽  
Ilana R. Leppert ◽  
G. Bruce Pike ◽  
D. Louis Collins ◽  
Keyword(s):  
Brain Development ◽  
Region Of Interest ◽  
Image Data ◽  
Coordinate Space ◽  
Normal Brain ◽  
Healthy Children ◽  
Healthy Infants ◽  
Data Points ◽  
Multi Center Study ◽  
Age Range

AbstractQuantitative T2 data from an NIH-sponsored multi-center study of Normal Brain Development was used to perform automatic voxel-wise analysis of the changes in T2 evolution in the brain in healthy children within the age range from birth to 5 years. All data were non-linearly registered into a common coordinate space. The T2 parameters were estimated by 2 point fitting from the PD-weighted and T2-weighted image data, or by least-squares fitting of 4 data points when addition intermediate weighting images were available. The main result of this study is voxel-level map of monoexponential evolution of T2 in this age range indicating the delay (in months) and the rate (in 1/months) of development. The automatic maps are compared to manual region-of-interest based estimates of T2 evolution.

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