Scoliotic Imaging With a Novel Double-Sweep 2.5-Dimensional Extended Field-of-View Ultrasound

Huang, Qinghua; Deng, Qibo; Li, Le; Yang, Junlin; Li, Xuelong

doi:10.1109/tuffc.2019.2920422

Cited by 19 publications

(5 citation statements)

References 39 publications

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“…Therefore, in the preparation stage, the first task was to determine the transformation matrix from the raw B‐mode ultrasound image to the coordinate of the reconstructed image. The matrix can be described as 29 :

\begin{equation}{}^c{T_p}{\rm{ = }}{}^c{T_t} \bullet {}^t{T_r} \bullet {}^r{T_p}\end{equation}

where c T p represents the transformation matrix from the coordinate system of subscript ( p ) to the coordinate system of superscript ( c ). As shown in Figure 1b, there are four coordinate systems, including the raw B‐mode ultrasound image ( p ), reconstructed image ( c ), transmitter ( t ), and receiver ( r ) of the spatial device.…”

Section: Methodsmentioning

confidence: 99%

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A real‐time freehand 3D ultrasound imaging method for scoliosis assessment

Jiang

Chen

2022

J Applied Clin Med Phys

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Real‐time 3D ultrasound has gained popularity in many fields because it can provide interactive feedback to help acquire high‐quality images or to conduct timely diagnosis. However, no comprehensive study has been reported on such an imaging method for scoliosis evaluation due to the complexity of this application. Meanwhile, the use of radiation‐free assessment of scoliosis is becoming increasingly popular. This study developed a real‐time 3D ultrasound imaging method for scoliosis assessment based on an incremental imaging method. In vivo experiments involving 36 patients with scoliosis were performed to test the performance of the proposed method. This new imaging method achieved a mean incremental frame rate of 82.7 ± 11.0 frames/s. The high repeatability of the intra‐operator test (intraclass correlation coefficient [ICC] = 0.92) and inter‐operator test (ICC = 0.91) demonstrated that the new method was very reliable. The result of spinous process angles obtained by the new method was linearly correlated (y = 0.97x, R2 = 0.88) with that obtained by conventional 3D reconstruction. These results suggested that the newly developed imaging method can provide real‐time ultrasound imaging for scoliosis evaluation while preserving the comparative image quality of the conventional 3D reconstruction method.

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\begin{equation}{}^c{T_p}{\rm{ = }}{}^c{T_t} \bullet {}^t{T_r} \bullet {}^r{T_p}\end{equation}

Section: Methodsmentioning

confidence: 99%

“…Therefore, in the preparation stage, the first task was to determine the transformation matrix from the raw B-mode ultrasound image to the coordinate of the reconstructed image. The matrix can be described as 29 :…”

Section: Real-time Imaging Methodsmentioning

confidence: 99%

A real‐time freehand 3D ultrasound imaging method for scoliosis assessment

Jiang

Chen

2022

J Applied Clin Med Phys

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“…Some studies have applied ultrasound imaging to monitor MTU for exploring kinetic mechanisms in both diagnosis and rehabilitation, including investigating the muscle and tendon properties in patients with spastic cerebral palsy [4], monitoring the prognosis of knee surgery [5], or estimating the muscle force output [6]. In this field, ultrasound imaging has become an encouraging method to identify the structural changes and interactions of muscles and tendons during voluntary muscle contraction, facilitating the evaluation of physiological functions and pathological conditions in vivo and formulating effective treatment strategies [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Automatic Myotendinous Junction Identification in Ultrasound Images Based on Junction-Based Template Measurements

Zhou

Hua

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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Tracking the myotendinous junction (MTJ) motion in consecutive ultrasound images is essential to assess muscle and tendon interaction and understand the mechanics' muscle-tendon unit and its pathological conditions during motion. However, the inherent speckle noises and ambiguous boundaries deter the reliable identification of MTJ, thus restricting their usage in human motion analysis. This study advances a fully automatic displacement measurement method for MTJ using prior shape knowledge on the Y-shape MTJ, precluding the influence of irregular and complicated hyperechoic structures in muscular ultrasound images. Our proposed method first adopts the junction candidate points using a combined measure of Hessian matrix and phase congruency, followed by a hierarchical clustering technique to refine the candidates approximating the position of the MTJ. Then, based on the prior knowledge of Y-shape MTJ, we finally identify the best matching junction points according to intensity distributions and directions of their branches using multiscale Gaussian templates and a Kalman filter. We evaluated our proposed method using the ultrasound scans of the gastrocnemius from 8 young, healthy volunteers. Our results present more consistent with the manual method in the MTJ tracking method than existing optical flow tracking methods, suggesting its potential in facilitating muscle and tendon function examinations with in vivo ultrasound imaging.

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“…Weng L et al [1] were the first to propose wide-field ultrasound imaging and apply it in the medical field to synthesize a complete image of an organ for examination, demonstrating the overall information of the tissue organ. Zeng Zhaozheng [2] proposed a 2.5D wide-field ultrasound imaging method for detecting scoliosis that enables incorporates the classification a nd image stitching between images, which that enables incorporates the classification and image stitching between images. Zhao Xia et al [3] used the Bessel fitting method to achieve 2.5D wide-field medical ultrasound imaging.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic image stitching method for material defect detection

Song

Chen

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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Defect panoramic ultrasound image is helpful for material integrity evaluation in NDT&E. However, the si ngle scan area of ultrasonic transducer is limited, which leading to the limitation of image area. Due to the low resolution and minimal detail in ultrasound images of defect, traditional visual image stitching methods cannot be directly applied to ultrasound defect images. Therefore, an ultrasonic image stitching method for material defect detection is proposed. According to the feature analysis of ultrasound defect images, an improved scale-invariant feature transform algorithm for ultrasound images stitching is developed. The algorithm first identifies image feature points in the same horizontal layer for coarse matching and then uses Euclidean distance histograms to eliminate mismatched pairs for fine matching. Thereafter, the algorithm transfers different images into the same coordinate system by using a transformation matrix obtained from a random sample consensus algorithm with an adaptive threshold. Finally, an improved fade -in/fade-out weighted fusion algorithm is used to stich the images. Acoustic field simulations and actual test experiments have been performed on an aluminum test sample to obtain a panoramic ultrasound defect image by using the proposed method.

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Scoliotic Imaging With a Novel Double-Sweep 2.5-Dimensional Extended Field-of-View Ultrasound

Cited by 19 publications

References 39 publications

A real‐time freehand 3D ultrasound imaging method for scoliosis assessment

A real‐time freehand 3D ultrasound imaging method for scoliosis assessment

Automatic Myotendinous Junction Identification in Ultrasound Images Based on Junction-Based Template Measurements

Ultrasonic image stitching method for material defect detection

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