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Fusion of 3D ultrasound images of the fetal murmur improves boundary definition and volume measurement

Fusion of 3D ultrasound images of the fetal murmur improves boundary definition and volume measurement
Fusion of 3D ultrasound images of the fetal murmur improves boundary definition and volume measurement
OBJECTIVE: To combine multiple 3D volumes of the same fetal femur into one composite image data set using image registration and wavelet-based fusion. Fused and single data sets were compared in terms of image quality and femur volume (FV) measurement repeatability.

METHOD: In healthy pregnant volunteers, six volumes of the same femur were acquired and fused into a composite data set. Image quality scores were given to the fused and single data sets by an independent assessor in a blinded fashion; repeatability of FV measurement was assessed using coefficients of variation (CV), intraclass correlation coefficients (ICC) and Bland-Altman plots.

RESULTS: Fusion was successful in 24 out of 25 cases. Median image quality score was 7/10 in fused data sets, compared to 6/10 in single data sets (p = 0.096). Repeatability of FV measurement was better in fused data sets (intraobserver CV 4.6% and ICC 0.987; interobserver CV 4.9%, ICC 0.985) compared to single ones (intraobserver CV 5.8%, ICC 0.977; interobserver CV 10.0%, ICC 0.931). The measured FV was significantly higher in fused data sets (mean FV 1.7 vs. 1.3 ml, p < 0.001).

CONCLUSION: Image registration and wavelet-based fusion can improve image quality and FV repeatability; it also results in an increased FV measurement.
1015-3837
158-185
Yaqub, M.K.
567519cc-4218-4e4a-818a-b098d1934c34
Ioannou, C.
cbd951dc-29c4-4eb7-b89b-7528ea585f0c
Javaid, M.K.
51d3310b-032e-4c15-83ac-b878bce090f3
Cooper, C.
e05f5612-b493-4273-9b71-9e0ce32bdad6
Papageorghiou, A.T.
f99d2e42-8146-4ff2-804a-e68193fef668
Noble, J.A.
f9c5c735-215f-44a1-a17a-352908ac17c4
Yaqub, M.K.
567519cc-4218-4e4a-818a-b098d1934c34
Ioannou, C.
cbd951dc-29c4-4eb7-b89b-7528ea585f0c
Javaid, M.K.
51d3310b-032e-4c15-83ac-b878bce090f3
Cooper, C.
e05f5612-b493-4273-9b71-9e0ce32bdad6
Papageorghiou, A.T.
f99d2e42-8146-4ff2-804a-e68193fef668
Noble, J.A.
f9c5c735-215f-44a1-a17a-352908ac17c4

Yaqub, M.K., Ioannou, C., Javaid, M.K., Cooper, C., Papageorghiou, A.T. and Noble, J.A. (2013) Fusion of 3D ultrasound images of the fetal murmur improves boundary definition and volume measurement. Fetal Diagnosis and Therapy, 34 (3), 158-185. (doi:10.1159/000354342). (PMID:24051348)

Record type: Article

Abstract

OBJECTIVE: To combine multiple 3D volumes of the same fetal femur into one composite image data set using image registration and wavelet-based fusion. Fused and single data sets were compared in terms of image quality and femur volume (FV) measurement repeatability.

METHOD: In healthy pregnant volunteers, six volumes of the same femur were acquired and fused into a composite data set. Image quality scores were given to the fused and single data sets by an independent assessor in a blinded fashion; repeatability of FV measurement was assessed using coefficients of variation (CV), intraclass correlation coefficients (ICC) and Bland-Altman plots.

RESULTS: Fusion was successful in 24 out of 25 cases. Median image quality score was 7/10 in fused data sets, compared to 6/10 in single data sets (p = 0.096). Repeatability of FV measurement was better in fused data sets (intraobserver CV 4.6% and ICC 0.987; interobserver CV 4.9%, ICC 0.985) compared to single ones (intraobserver CV 5.8%, ICC 0.977; interobserver CV 10.0%, ICC 0.931). The measured FV was significantly higher in fused data sets (mean FV 1.7 vs. 1.3 ml, p < 0.001).

CONCLUSION: Image registration and wavelet-based fusion can improve image quality and FV repeatability; it also results in an increased FV measurement.

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More information

e-pub ahead of print date: 14 September 2013
Published date: October 2013
Organisations: Faculty of Medicine

Identifiers

Local EPrints ID: 362079
URI: http://eprints.soton.ac.uk/id/eprint/362079
ISSN: 1015-3837
PURE UUID: bd2c8f46-3e2c-42fe-a916-ddce594a6b4c
ORCID for C. Cooper: ORCID iD orcid.org/0000-0003-3510-0709

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Date deposited: 13 Feb 2014 12:35
Last modified: 20 Jul 2019 01:14

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Contributors

Author: M.K. Yaqub
Author: C. Ioannou
Author: M.K. Javaid
Author: C. Cooper ORCID iD
Author: A.T. Papageorghiou
Author: J.A. Noble

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