Fully Automated and Robust Tracking of Transient Waves in Structured Anatomies Using Dynamic Programming.
Tissue stiffness is often linked to underlying pathology and can be quantified by measuring the mechanical transient transverse wave speed (TWS) within the medium. Time-of-flight methods based on correlation of the transient signals or tracking of peaks have been used to quantify the TWS from displa...
| Publicado en: | Ultrasound in Medicine & Biology Vol. 42; no. 10; pp. 2504 - 2513 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Oct2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117800393&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117800393 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03015629 JJ6 jtl: Ultrasound in Medicine & Biology issn: 03015629 maglogo: N pubinfo: dt: Oct2016 vid: 42 iid: 10 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 117800393 117800393 NLM27425150 117800393 10.1016/j.ultrasmedbio.2016.06.002 NLM27425150 117800393 ppf: 2504 ppct: 9 formats: tig: atl: Fully Automated and Robust Tracking of Transient Waves in Structured Anatomies Using Dynamic Programming. aug: au: Akkus, Zeynettin Bayat, Mahdi Cheong, Mathew Viksit, Kumar Erickson, Bradley J. Alizad, Azra Fatemi, Mostafa affil: Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA sug: subj: Bladder Diseases Pathology Bladder Diseases Image Processing, Computer Assisted Methods Ultrasonography Methods Bladder Bladder Pathology Artifacts Funding Source Human ab: Tissue stiffness is often linked to underlying pathology and can be quantified by measuring the mechanical transient transverse wave speed (TWS) within the medium. Time-of-flight methods based on correlation of the transient signals or tracking of peaks have been used to quantify the TWS from displacement maps obtained with ultrasound pulse-echo techniques. However, it is challenging to apply these methods to in vivo data because of tissue inhomogeneity, noise and artifacts that produce outliers. In this study, we introduce a robust and fully automated method based on dynamic programming to estimate TWS in tissues with known geometries. The method is validated using ultrasound bladder vibrometry data from an in vivo study. We compared the results of our method with those of time-of-flight techniques. Our method performs better than time-of-flight techniques. In conclusion, we present a robust and accurate TWS detection method that overcomes the difficulties of time-of-flight methods. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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