In this section
@article{Kuder:2024:10.1016/j.ultrasmedbio.2024.03.012,
author = {Kuder, I and Rock, M and Jones, G and Amis, A and Cegla, F and van, Arkel R},
doi = {10.1016/j.ultrasmedbio.2024.03.012},
journal = {Ultrasound in Medicine and Biology},
pages = {1108--1121},
title = {An optimization approach for creating application-specific ultrasound speckle tracking algorithms},
url = {http://dx.doi.org/10.1016/j.ultrasmedbio.2024.03.012},
volume = {50},
year = {2024}
}
TY - JOUR
AB - Objective:Ultrasound speckle tracking enables in vivo measurement of soft tissue deformation or strain, providing a non-invasive diagnostic tool to quantify tissue health. However, adoption into new fields is challenging since algorithms need to be tuned with gold-standard reference data that are expensive or impractical to acquire. Here, we present a novel optimization approach that only requires repeated measurements, which can be acquired for new applications where reference data might not be readily available or difficult to get hold of.Methods:Soft tissue motion was captured using ultrasound for the medial collateral ligament (MCL) of three quasi-statically loaded porcine stifle joints, and medial ligamentous structures of a dynamically loaded human cadaveric knee joint. Using a training subset, custom speckle tracking algorithms were created for the porcine and human ligaments using surrogate optimization, which aimed to maximize repeatability by minimizing the normalized standard deviation of calculated strain maps for repeat measurements. An unseen test subset was then used to validate the tuned algorithms by comparing the ultrasound strains to digital image correlation (DIC) surface strains (porcine specimens) and length change values of the optically tracked ligament attachments (human specimens).Results:After 1500 iterations, the optimization routine based on the porcine and human training data converged to similar values of normalized standard deviations of repeat strain maps (porcine: 0.19, human: 0.26). Ultrasound strains calculated for the independent test sets using the tuned algorithms closely matched the DIC measurements for the porcine quasi-static measurements (R > 0.99, RMSE < 0.59%) and the length change between the tracked ligament attachments for the dynamic human dataset (RMSE < 6.28%). Furthermore, strains in the medial ligamentous structures of the human specimen during flexion showed a strong correlation with anterior/posterior p
AU - Kuder,I
AU - Rock,M
AU - Jones,G
AU - Amis,A
AU - Cegla,F
AU - van,Arkel R
DO - 10.1016/j.ultrasmedbio.2024.03.012
EP - 1121
PY - 2024///
SN - 0301-5629
SP - 1108
TI - An optimization approach for creating application-specific ultrasound speckle tracking algorithms
T2 - Ultrasound in Medicine and Biology
UR - http://dx.doi.org/10.1016/j.ultrasmedbio.2024.03.012
UR - https://www.sciencedirect.com/science/article/pii/S0301562924001418?via%3Dihub
VL - 50
ER -