Comparison of windowing effects on elastography images: Simulation, phantom and in vivo studies

Ahmed, Rifat; Arfin, Rishad; Rubel, Monir Hossan; Islam, Kamrul; Jia, Chunrong; Metaxas, Dimitris N.; Garra, Brian S.; Alam, S. Kaisar

doi:10.1016/j.ultras.2015.11.001

Cited by 6 publications

(1 citation statement)

References 52 publications

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“…Ultrasound elastography provides a non-invasive way of probing tissue stiffness and is a valuable tool for monitoring ablative treatment of cancerous tumors in the liver and other organs [1][2][3][4][5][6][7][8][9][10][11]. Tissue displacements are tracked using ultrasound echo data and tissue strain [5,[10][11][12] or shear wave velocities (SWV) [2,3,9,13] estimated from these displacements. This method provides estimates of elasticity of the tissue at specific locations in the scan plane of the ultrasound system.…”

Section: Introductionmentioning

confidence: 99%

A kernel smoothing algorithm for ablation visualization in ultrasound elastography

Ingle

Varghese

2019

Ultrasonics

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Three-dimensional visualization of tumor ablation procedures have significant clinical value because the ability to accurately visualize ablated volumes can help clinicians gauge the extent of ablated tissue necrosis and plan future treatment steps. Better control over ablation volume can prevent recurrence of tumors treated using ablative procedures. This paper presents a kernel based smoothing algorithm called MATÉRNSMOOTH to reconstruct shear wave velocity maps from data acquired through ultrasound electrode vibration elastography. Shear wave velocity estimates are acquired on several intersecting imaging planes that share a common axis of intersection collinear with the ablation needle. An objective method of choosing smoothing parameters from underlying data is outlined through simulations. Validation is performed on data acquired from a tissue mimicking phantom. Volume estimates were found to be within 20% of the true value.

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