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Quantitative Ultrasound Imaging Parameters for Evaluation of Carotid Atherosclerotic Plaque.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative Ultrasound Imaging Parameters for Evaluation of Carotid Atherosclerotic Plaque./
作者:	Steffel, Catherine N.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	299 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
Contained By:	Dissertations Abstracts International83-07B.
標題:	Medical imaging. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28314798
ISBN:	9798759999577

Quantitative Ultrasound Imaging Parameters for Evaluation of Carotid Atherosclerotic Plaque.
Steffel, Catherine N.

Quantitative Ultrasound Imaging Parameters for Evaluation of Carotid Atherosclerotic Plaque. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 299 p.

Source: Dissertations Abstracts International, Volume: 83-07, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2021.

This item must not be sold to any third party vendors.

Stroke is a leading cause of death and disability throughout the world. Clinicians recognize that carotid atherosclerotic plaque can be a contributing cause of stroke; however, clinical methods for characterizing carotid plaque with ultrasound are semi-quantitative, and tools are needed to assess plaque composition in asymptomatic individuals who have not yet suffered a stroke or other cerebrovascular event. To examine carotid plaque composition noninvasively and overcome some of these limitations, researchers have developed standardized quantitative ultrasound (QUS) methods based on brightness-mode (B-mode) images and radiofrequency (RF) echo signals. Our research group has been involved in this effort by developing signal processing approaches and evaluating QUS parameters. Some primary challenges of computing QUS parameters, particularly in vivo, are plaques' small sizes and heterogeneous composition. Algorithms developed in recent years reportedly minimize QUS estimation variance in simulation, phantom studies, and biological tissue. The primary goal of the research presented in this dissertation was to adapt some of these new signal processing approaches to carotid plaque assessment and develop and validate subsequent QUS parameters.As part of this work, we applied an optimum power spectral shift estimation (OPSSE) method to RF echo signal data and computed attenuation coefficient and attenuation-corrected integrated backscatter parameters in plaque in vivo and ex vivo. Then, we compared our results to those from a reference phantom method (for in vivo attenuation coefficient estimation only) and to ground-truth assessments of plaque composition (whole plaque surgical scores, assessments of single representative sections of histopathology, and 3D reconstructions of histopathology whole slide images [for ex vivo only]). Our results demonstrated that the OPSSE method may provide QUS estimates with lower variance, fewer nonphysical estimates, and high spatial resolution. Further, attenuation coefficient and attenuation-corrected integrated backscatter parameters correlated with cholesterol, calcium, thrombus, ulceration, hemorrhage, hemosiderin, and inflammation content in plaque and could discriminate among plaque scores.Together, our results suggest that the applied signal processing approaches and developed QUS parameters may provide information about plaque composition that has not been revealed through other parameters and indices obtained as part of our study. This dissertation contributes to a growing body of QUS research that will guide future development of an accurate and reliable tool for assessing risk of plaque rupture or stroke by plaque echogenicity changes.

ISBN: 9798759999577Subjects--Topical Terms:

3172799
Medical imaging.
Subjects--Index Terms:

Atherosclerosis

Quantitative Ultrasound Imaging Parameters for Evaluation of Carotid Atherosclerotic Plaque.
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520 $a Stroke is a leading cause of death and disability throughout the world. Clinicians recognize that carotid atherosclerotic plaque can be a contributing cause of stroke; however, clinical methods for characterizing carotid plaque with ultrasound are semi-quantitative, and tools are needed to assess plaque composition in asymptomatic individuals who have not yet suffered a stroke or other cerebrovascular event. To examine carotid plaque composition noninvasively and overcome some of these limitations, researchers have developed standardized quantitative ultrasound (QUS) methods based on brightness-mode (B-mode) images and radiofrequency (RF) echo signals. Our research group has been involved in this effort by developing signal processing approaches and evaluating QUS parameters. Some primary challenges of computing QUS parameters, particularly in vivo, are plaques' small sizes and heterogeneous composition. Algorithms developed in recent years reportedly minimize QUS estimation variance in simulation, phantom studies, and biological tissue. The primary goal of the research presented in this dissertation was to adapt some of these new signal processing approaches to carotid plaque assessment and develop and validate subsequent QUS parameters.As part of this work, we applied an optimum power spectral shift estimation (OPSSE) method to RF echo signal data and computed attenuation coefficient and attenuation-corrected integrated backscatter parameters in plaque in vivo and ex vivo. Then, we compared our results to those from a reference phantom method (for in vivo attenuation coefficient estimation only) and to ground-truth assessments of plaque composition (whole plaque surgical scores, assessments of single representative sections of histopathology, and 3D reconstructions of histopathology whole slide images [for ex vivo only]). Our results demonstrated that the OPSSE method may provide QUS estimates with lower variance, fewer nonphysical estimates, and high spatial resolution. Further, attenuation coefficient and attenuation-corrected integrated backscatter parameters correlated with cholesterol, calcium, thrombus, ulceration, hemorrhage, hemosiderin, and inflammation content in plaque and could discriminate among plaque scores.Together, our results suggest that the applied signal processing approaches and developed QUS parameters may provide information about plaque composition that has not been revealed through other parameters and indices obtained as part of our study. This dissertation contributes to a growing body of QUS research that will guide future development of an accurate and reliable tool for assessing risk of plaque rupture or stroke by plaque echogenicity changes.
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