Origins of the edge shadowing artefact in medical ultrasound imaging

Steel, R.; Poepping, Tamie L.; Thompson, R.S.; Macaskill, C.

doi:10.1016/j.ultrasmedbio.2004.07.014

Cited by 27 publications

(17 citation statements)

References 22 publications

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“…The image formation process of ultrasound images is bound to the propagation and interaction of waves in tissues of various acoustic impedances (Steel et al, 2004). More precisely, at the boundary of two materials, the wave energy is transmitted, reflected, dispersed and or diffracted.…”

Section: Introductionmentioning

confidence: 99%

An automatic geometrical and statistical method to detect acoustic shadows in intraoperative ultrasound brain images

Hellier

Coupé

Morandi

et al. 2010

Medical Image Analysis

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In ultrasound images, acoustic shadows appear as regions of low signal intensity linked to boundaries with very high acoustic impedance differences. Acoustic shadows can be viewed either as informative features to detect lesions or calcifications, or as damageable artifacts for image processing tasks such as segmentation, registration or 3D reconstruction. In both cases, the detection of these acoustic shadows is useful. This paper proposes a new method to detect these shadows that combines a geometrical approach to estimate the B-scans shape, followed by a statistical test based on a dedicated modeling of ultrasound image statistics. Results demonstrate that the combined geometrical-statistical technique is more robust and yields better results than the previous statistical technique. Integration of regularization over time further improves robustness. Application of the procedure results in (1) improved 3D reconstructions with fewer artifacts, and (2) reduced mean registration error of tracked intraoperative brain ultrasound images.

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Section: Introductionmentioning

confidence: 99%

An automatic geometrical and statistical method to detect acoustic shadows in intraoperative ultrasound brain images

Hellier

Coupé

Morandi

et al. 2010

Medical Image Analysis

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“…At the margins of a structure with different acoustic impedance compared to the tissue around it and with a highly curved surface (in this case degenerated facet joint and ligamentum flavum with soft tissues surrounding it) an artefact named lateral shadowing [3,4] (or retraction shadowing [5]) appears. Marginal waves get refracted at the edges of the structure, causing a shadow at the margins.…”

Section: Discussionmentioning

confidence: 99%

Facet joint degeneration adversely affects ultrasound imaging of the lumbar spine

et al. 2019

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Aim: Ultrasound of neuraxis can be used to identify the best possible inter-spinous space to perform neuraxial block. The aim of this study was to assess the anatomical correlation between neuraxial ultrasound and magnetic resonance imaging (MRI). Material and method: Twenty-one patients who underwent MRI of the lumbar spine had ultrasound of lumbar neuraxis performed by an experienced operator. Each lumbar interspinous space was graded on ultrasound as good [posterior complex (ligamentum flavum and duramater) and anterior complex (posterior longitudinal ligament) visible], intermediate (either anterior complex or posterior complex visible) or poor (both anterior complex and posterior complex not visible) in both the transverse median (TM) and paramedian sagittal oblique (PSO) plane. Pre-determined MRI parameters were measured by a radiologist blinded to sonographic findings at each inter-spinal level. Results: Seventy-eight lumbar interspinous spaces were evaluated. There was a significant association (p<0.004) between the facet joint degeneration on MRI and the poor ultrasound view in the transverse median (TM) group. The odds of obtaining a poor view in TM plane was 7 times higher (95% CI 1.7-28.9, p=0.007) in the presence of facet joint degeneration. None of the other variables had a significant association with a poor neuraxial view in the TM plane. Poor views in the parasagittal oblique (PSO) plane did not correlate with any of the variables measured on MRI. Conclusion: Facet joint degeneration is a major contributing factor to poor neuraxial ultrasound views in the TM plane.

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“…As well as geometric distortions, ultrasound images undergo well-known intensity distortions, arising from wave behaviour and the true beam line structure [9]. In future it would be insightful to consolidate these two distortion contributions by direct comparison between ray predictions and more sophisticated finite-element models of the full acoustic field.…”

Section: Discussionmentioning

confidence: 99%

Geometric distortion of area in medical ultrasound images

Bland¹,

Tong²,

Ward³

et al. 2017

J. Phys.: Conf. Ser.

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Medical ultrasound scanners are typically calibrated to the soft tissue average of 1540 m s −1 . In regions of different sound speed, for example organs and tumours, the B-mode image then becomes a distortion of the true tissue cross-section, due to the misrepresentation of length and refraction. We develop a ray model to predict the geometrical distortion of a general elliptical object with atypical speed of sound, and quantify the ensuing image distortion as a function of the key parameters, including the speed of sound mismatch, the object size and its elongation. Our findings show that the distortion of area can be significant, even for relatively small speed of sound mismatches. Our findings are verified by ultrasound imaging of a test object.

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Origins of the edge shadowing artefact in medical ultrasound imaging

Cited by 27 publications

References 22 publications

An automatic geometrical and statistical method to detect acoustic shadows in intraoperative ultrasound brain images

An automatic geometrical and statistical method to detect acoustic shadows in intraoperative ultrasound brain images

Facet joint degeneration adversely affects ultrasound imaging of the lumbar spine

Geometric distortion of area in medical ultrasound images

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