Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries

Wing Keung Cheung; Dorothy M Gujral; Benoy N Shah; Navtej S Chahal; Sanjeev Bhattacharyya; David O Cosgrove; Robert J Eckersley; Kevin J Harrington; Roxy Senior; Christopher M Nutting; Meng-Xing Tang

doi:10.1016/j.ultrasmedbio.2015.02.010

Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries

Wing Keung Cheung, Dorothy M Gujral, Benoy N Shah, Navtej S Chahal, Sanjeev Bhattacharyya, David O Cosgrove, Robert J Eckersley, Kevin J Harrington, Roxy Senior, Christopher M Nutting, Meng-Xing Tang

Biomedical Engineering Department

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

An automated attenuation correction and normalisation algorithm was developed to improve the quantification of contrast enhancement in ultrasound images of carotid arteries. The algorithm first corrects attenuation artefact and normalises intensity within the contrast agent-filled lumen and then extends the correction and normalisation to regions beyond the lumen. The algorithm was first validated on phantoms consisting of contrast agent-filled vessels embedded in tissue-mimicking materials of known attenuation. It was subsequently applied to in vivo contrast-enhanced ultrasound (CEUS) images of human carotid arteries. Both in vitro and in vivo results indicated significant reduction in the shadowing artefact and improved homogeneity within the carotid lumens after the correction. The error in quantification of microbubble contrast enhancement caused by attenuation on phantoms was reduced from 55% to 5% on average. In conclusion, the proposed method exhibited great potential in reducing attenuation artefact and improving quantification in contrast-enhanced ultrasound of carotid arteries.

Original language	English
Pages (from-to)	1876-1883
Number of pages	8
Journal	Ultrasound in Medicine and Biology
Volume	41
Issue number	7
Early online date	3 Apr 2015
DOIs	https://doi.org/10.1016/j.ultrasmedbio.2015.02.010
Publication status	Published - 1 Jul 2015

Access to Document

10.1016/j.ultrasmedbio.2015.02.010

Cite this

Cheung, W. K., Gujral, D. M., Shah, B. N., Chahal, N. S., Bhattacharyya, S., Cosgrove, D. O., Eckersley, R. J., Harrington, K. J., Senior, R., Nutting, C. M., & Tang, M.-X. (2015). Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries. Ultrasound in Medicine and Biology, 41(7), 1876-1883. https://doi.org/10.1016/j.ultrasmedbio.2015.02.010

@article{879cc6a7114049c3ac647323e10602e4,

title = "Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries",

abstract = "An automated attenuation correction and normalisation algorithm was developed to improve the quantification of contrast enhancement in ultrasound images of carotid arteries. The algorithm first corrects attenuation artefact and normalises intensity within the contrast agent-filled lumen and then extends the correction and normalisation to regions beyond the lumen. The algorithm was first validated on phantoms consisting of contrast agent-filled vessels embedded in tissue-mimicking materials of known attenuation. It was subsequently applied to in vivo contrast-enhanced ultrasound (CEUS) images of human carotid arteries. Both in vitro and in vivo results indicated significant reduction in the shadowing artefact and improved homogeneity within the carotid lumens after the correction. The error in quantification of microbubble contrast enhancement caused by attenuation on phantoms was reduced from 55% to 5% on average. In conclusion, the proposed method exhibited great potential in reducing attenuation artefact and improving quantification in contrast-enhanced ultrasound of carotid arteries.",

author = "Cheung, {Wing Keung} and Gujral, {Dorothy M} and Shah, {Benoy N} and Chahal, {Navtej S} and Sanjeev Bhattacharyya and Cosgrove, {David O} and Eckersley, {Robert J} and Harrington, {Kevin J} and Roxy Senior and Nutting, {Christopher M} and Meng-Xing Tang",

year = "2015",

month = jul,

day = "1",

doi = "10.1016/j.ultrasmedbio.2015.02.010",

language = "English",

volume = "41",

pages = "1876--1883",

journal = "Ultrasound in Medicine and Biology",

issn = "0301-5629",

publisher = "Elsevier",

number = "7",

}

Cheung, WK, Gujral, DM, Shah, BN, Chahal, NS, Bhattacharyya, S, Cosgrove, DO, Eckersley, RJ, Harrington, KJ, Senior, R, Nutting, CM & Tang, M-X 2015, 'Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries', Ultrasound in Medicine and Biology, vol. 41, no. 7, pp. 1876-1883. https://doi.org/10.1016/j.ultrasmedbio.2015.02.010

TY - JOUR

T1 - Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries

AU - Cheung, Wing Keung

AU - Gujral, Dorothy M

AU - Shah, Benoy N

AU - Chahal, Navtej S

AU - Bhattacharyya, Sanjeev

AU - Cosgrove, David O

AU - Eckersley, Robert J

AU - Harrington, Kevin J

AU - Senior, Roxy

AU - Nutting, Christopher M

AU - Tang, Meng-Xing

PY - 2015/7/1

Y1 - 2015/7/1

N2 - An automated attenuation correction and normalisation algorithm was developed to improve the quantification of contrast enhancement in ultrasound images of carotid arteries. The algorithm first corrects attenuation artefact and normalises intensity within the contrast agent-filled lumen and then extends the correction and normalisation to regions beyond the lumen. The algorithm was first validated on phantoms consisting of contrast agent-filled vessels embedded in tissue-mimicking materials of known attenuation. It was subsequently applied to in vivo contrast-enhanced ultrasound (CEUS) images of human carotid arteries. Both in vitro and in vivo results indicated significant reduction in the shadowing artefact and improved homogeneity within the carotid lumens after the correction. The error in quantification of microbubble contrast enhancement caused by attenuation on phantoms was reduced from 55% to 5% on average. In conclusion, the proposed method exhibited great potential in reducing attenuation artefact and improving quantification in contrast-enhanced ultrasound of carotid arteries.

AB - An automated attenuation correction and normalisation algorithm was developed to improve the quantification of contrast enhancement in ultrasound images of carotid arteries. The algorithm first corrects attenuation artefact and normalises intensity within the contrast agent-filled lumen and then extends the correction and normalisation to regions beyond the lumen. The algorithm was first validated on phantoms consisting of contrast agent-filled vessels embedded in tissue-mimicking materials of known attenuation. It was subsequently applied to in vivo contrast-enhanced ultrasound (CEUS) images of human carotid arteries. Both in vitro and in vivo results indicated significant reduction in the shadowing artefact and improved homogeneity within the carotid lumens after the correction. The error in quantification of microbubble contrast enhancement caused by attenuation on phantoms was reduced from 55% to 5% on average. In conclusion, the proposed method exhibited great potential in reducing attenuation artefact and improving quantification in contrast-enhanced ultrasound of carotid arteries.

U2 - 10.1016/j.ultrasmedbio.2015.02.010

DO - 10.1016/j.ultrasmedbio.2015.02.010

M3 - Article

C2 - 25843515

SN - 0301-5629

VL - 41

SP - 1876

EP - 1883

JO - Ultrasound in Medicine and Biology

JF - Ultrasound in Medicine and Biology

IS - 7

ER -

Attenuation Correction and Normalisation for Quantification of Contrast Enhancement in Ultrasound Images of Carotid Arteries

Abstract

Access to Document

Fingerprint

Cite this