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-orcid | 0000-0002-6714-9147 | |
cris.virtual.author-orcid | 0000-0002-7279-9099 | |
cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtual.department | Indian Institute of Technology, Madras | |
cris.virtual.department | Indian Institute of Technology, Madras | |
cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtualsource.author-orcid | e6b935f2-d800-41e3-b9de-62cbe1725a18 | |
cris.virtualsource.author-orcid | 13017666-100a-4ff2-9c5f-955b9603fda5 | |
cris.virtualsource.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtualsource.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
cris.virtualsource.department | e6b935f2-d800-41e3-b9de-62cbe1725a18 | |
cris.virtualsource.department | 13017666-100a-4ff2-9c5f-955b9603fda5 | |
dc.contributor.author | Raj Kiran, V. | |
dc.contributor.author | Nabeel, P. M. | |
dc.contributor.author | Mohanasankar S | |
dc.contributor.author | Jayaraj Joseph | |
dc.date.accessioned | 2023-09-19T14:44:14Z | |
dc.date.available | 2023-09-19T14:44:14Z | |
dc.date.issued | 23-06-2021 | |
dc.description.abstract | Ultrasound-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.doi | 10.1109/MeMeA52024.2021.9478692 | |
dc.identifier.scopus | 2-s2.0-85114130816 | |
dc.identifier.uri | https://apicris.irins.org/handle/IITM2023/29160 | |
dc.relation.ispartofseries | 2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021 - Conference Proceedings | |
dc.source | 2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021 - Conference Proceedings | |
dc.subject | A-mode | |
dc.subject | Distension | |
dc.subject | Dynamic time warping | |
dc.subject | Echo-tracking | |
dc.subject | Radio-frequency | |
dc.subject | Wall-recognition | |
dc.subject | Wall-tracking | |
dc.title | Phantom evaluation of a time warping based automated arterial wall recognition and tracking method | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
oairecerif.author.affiliation | Indian Institute of Technology, Madras | |
oairecerif.author.affiliation | Indian Institute of Technology, Madras | |
person.affiliation.city | Chennai | |
person.affiliation.id | 60025757 | |
person.affiliation.name | Indian Institute of Technology Madras | |
person.identifier.scopus-author-id | 57195241890 | |
person.identifier.scopus-author-id | 56648161800 | |
person.identifier.scopus-author-id | 6506470218 | |
person.identifier.scopus-author-id | 26321720900 |