Publication:
Phantom evaluation of a time warping based automated arterial wall recognition and tracking method

cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-6714-9147
cris.virtual.author-orcid0000-0002-7279-9099
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentIndian Institute of Technology, Madras
cris.virtual.departmentIndian Institute of Technology, Madras
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcide6b935f2-d800-41e3-b9de-62cbe1725a18
cris.virtualsource.author-orcid13017666-100a-4ff2-9c5f-955b9603fda5
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmente6b935f2-d800-41e3-b9de-62cbe1725a18
cris.virtualsource.department13017666-100a-4ff2-9c5f-955b9603fda5
dc.contributor.authorRaj Kiran, V.
dc.contributor.authorNabeel, P. M.
dc.contributor.authorMohanasankar S
dc.contributor.authorJayaraj Joseph
dc.date.accessioned2023-09-19T14:44:14Z
dc.date.available2023-09-19T14:44:14Z
dc.date.issued23-06-2021
dc.description.abstractUltrasound-based arterial wall recognition and tracking methods in the literature apply to two-dimensional ultrasound data, either in the form of B-mode images or M-lines radio-frequency (RF) data. We propose a robust dynamic time warping method that is applicable to just one-dimensional single scan-line RF signals. It uniquely analyses the time-varying effects of tissue dynamics on the amplitude and phase features of the RF signals. Its performance was investigated via systemic in-vitro experiments on a pulsatile flow phantom. The recording was performed by an ultrasound imaging system where the B-mode video clips and the raw RF data were saved simultaneously for direct comparison of the proposed method's versus B-mode reference measurements. The noise of different levels was added to the RF signals to evaluate the method's robustness. The method detected the arterial walls in 95% -100% of the frames (with SNRs ≥ 10 dB), and for ~100% of those detections, the method accurately localized the walls in the frames. Even when SNR levels were poor (0 dB < SNR < 5 dB) the detection and correct rates were greater than 80% and 90%. The performance figures were consistent for different pulsation rates (0.4 to 3 Hz) emulated. Further, the tracking errors were < 5% for frames with SNR ≥ 5 dB, which improved (errors < 3%) with an increase in SNR. The distension measurements resulting from tracking were repeatable over continuous pulsation cycles (CoV < 0.5%) and were accurate compared to B-mode measurement, with RMSE = 22 μm. The measured versus reference distensions strongly correlated (r = 0.99, p < 0.05) to each other and yielding insignificant (p = 0.17) difference of -6 μm. The method has the potential to facilitate an automated framework for A-mode-based structural and functional analysis of the blood vessels. Therefore, it allows the realization of advanced and cost-effective real-time A-mode systems.
dc.identifier.doi10.1109/MeMeA52024.2021.9478692
dc.identifier.scopus2-s2.0-85114130816
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/29160
dc.relation.ispartofseries2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021 - Conference Proceedings
dc.source2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021 - Conference Proceedings
dc.subjectA-mode
dc.subjectDistension
dc.subjectDynamic time warping
dc.subjectEcho-tracking
dc.subjectRadio-frequency
dc.subjectWall-recognition
dc.subjectWall-tracking
dc.titlePhantom evaluation of a time warping based automated arterial wall recognition and tracking method
dc.typeConference Proceeding
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationIndian Institute of Technology, Madras
oairecerif.author.affiliationIndian Institute of Technology, Madras
person.affiliation.cityChennai
person.affiliation.id60025757
person.affiliation.nameIndian Institute of Technology Madras
person.identifier.scopus-author-id57195241890
person.identifier.scopus-author-id56648161800
person.identifier.scopus-author-id6506470218
person.identifier.scopus-author-id26321720900
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