Keyword search (4,163 papers available)

"Elastography" Keyword-tagged Publications:

Title Authors PubMed ID
1 Ultrasound and MRI-based evaluation of relationships between morphological and mechanical properties of the lower lumbar multifidus muscle in chronic low back pain Naghdi N; Masi S; Bertrand C; Rosenstein B; Cohen-Adad J; Rivaz H; Roy M; Fortin M; 40488869
HKAP
2 The Immediate Effect of a Single Treatment of Neuromuscular Electrical Stimulation with the StimaWELL 120MTRS System on Multifidus Stiffness in Patients with Chronic Low Back Pain Wolfe D; Dover G; Boily M; Fortin M; 39594260
SOH
3 The effects of a 12-week combined motor control exercise and isolated lumbar extension intervention on lumbar multifidus muscle stiffness in individuals with chronic low back pain Tornblom A; Naghdi N; Rye M; Montpetit C; Fortin M; 39258113
SOH
4 On the soft tissue ultrasound elastography using FEM based inversion approach Eshaghinia SS; Taghvaeipour A; Aghdam MM; Rivaz H; 38240143
ENCS
5 Alternating direction method of multipliers for displacement estimation in ultrasound strain elastography Md Ashikuzzaman 38159299
ENCS
6 3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography. Mirzaei M, Asif A, Fortin M, Rivaz H 31790861
PERFORM

 

Title:3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography.
Authors:Mirzaei MAsif AFortin MRivaz H
Link:https://www.ncbi.nlm.nih.gov/pubmed/31790861?dopt=Abstract
DOI:10.1016/j.ultras.2019.106053
Publication:Ultrasonics
Keywords:Channel dataNormalized Cross Correlation (NCC)Quasi static elastographySpatial and temporal informationTime delay estimationUltrasound elastography
PMID:31790861 Category:Ultrasonics Date Added:2019-12-04
Dept Affiliation: PERFORM
1 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada. Electronic address: m_irzae@ece.concordia.ca.
2 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada.
3 PERFORM Centre, Concordia University, Montreal, Quebec, Canada.
4 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada; PERFORM Centre, Concordia University, Montreal, Quebec, Canada.

Description:

3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography.

Ultrasonics. 2019 Nov 09;102:106053

Authors: Mirzaei M, Asif A, Fortin M, Rivaz H

Abstract

This paper introduces a novel technique to estimate tissue displacement in quasi-static elastography. A major challenge in elastography is estimation of displacement (also referred to time-delay estimation) between pre-compressed and post-compressed ultrasound data. Maximizing normalized cross correlation (NCC) of ultrasound radio-frequency (RF) data of the pre- and post-compressed images is a popular technique for strain estimation due to its simplicity and computational efficiency. Several papers have been published to increase the accuracy and quality of displacement estimation based on NCC. All of these methods use 2D spatial windows in RF data to estimate NCC, wherein displacement is assumed to be constant within each window. In this work, we extend this assumption along the third dimension. Two approaches are proposed to get third dimension. In the first approach, we use temporal domain to exploit neighboring samples in both spatial and temporal directions. Considering temporal information is important since traditional and ultrafast ultrasound machines are, respectively, capable of imaging at more than 30 frame per second (fps) and 1000 fps. Another approach is to use time-delayed pre-beam formed data (channel data) instead of RF data. In this method information of all channels that are recorded as pre-beam formed data of each RF line will be considered as 3rd dimension. We call these methods as spatial temporal normalized cross correlation (STNCC) and channel data normalized cross correlation (CNCC) and show that they substantially outperforms NCC using simulation, phantom and in-vivo experiments. Given substantial improvements of results in addition to the relative simplicity of implementing STNCC and CNCC, the proposed approaches can potentially have a large impact in both academic and commercial work on ultrasound elastography.

PMID: 31790861 [PubMed - as supplied by publisher]





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