Journal ArticleDOI
Three-Dimensional Ultrasound Imaging
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TLDR
A review article describes the developments of a number of 3D ultrasound imaging systems using mechanical, free-hand and 2D array scanning techniques and the sources of errors in the reconstruction techniques as well as formulae relating design specification to geometric errors.Abstract:
Ultrasound is an inexpensive and widely used imaging modality for the diagnosis and staging of a number of diseases. In the past two decades, it has benefited from major advances in technology and has become an indispensable imaging modality, due to its flexibility and non-invasive character. In the last decade, research investigators and commercial companies have further advanced ultrasound imaging with the development of 3D ultrasound. This new imaging approach is rapidly achieving widespread use with numerous applications. The major reason for the increase in the use of 3D ultrasound is related to the limitations of 2D viewing of 3D anatomy, using conventional ultrasound. This occurs because: (a) Conventional ultrasound images are 2D, yet the anatomy is 3D, hence the diagnostician must integrate multiple images in his mind. This practice is inefficient, and may lead to variability and incorrect diagnoses. (b) The 2D ultrasound image represents a thin plane at some arbitrary angle in the body. It is difficult to localize the image plane and reproduce it at a later time for follow-up studies. In this review article we describe how 3D ultrasound imaging overcomes these limitations. Specifically, we describe the developments of a number of 3D ultrasound imaging systems using mechanical, free-hand and 2D array scanning techniques. Reconstruction and viewing methods of the 3D images are described with specific examples. Since 3D ultrasound is used to quantify the volume of organs and pathology, the sources of errors in the reconstruction techniques as well as formulae relating design specification to geometric errors are provided. Finally, methods to measure organ volume from the 3D ultrasound images and sources of errors are described.read more
Citations
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Journal ArticleDOI
EAE/ASE Recommendations for Image Acquisition and Display Using Three-Dimensional Echocardiography
Roberto M. Lang,Luigi P. Badano,Wendy Tsang,David H. Adams,Eustachio Agricola,Thomas Buck,Francesco Faletra,Andreas Franke,Judy Hung,Leopoldo Pérez de Isla,Otto Kamp,Jarosław D. Kasprzak,Patrizio Lancellotti,Thomas H. Marwick,Marti L. McCulloch,Mark J. Monaghan,Petros Nihoyannopoulos,Natesa G. Pandian,Patricia A. Pellikka,Mauro Pepi,David A. Roberson,Stanton K. Shernan,Girish S Shirali,Lissa Sugeng,Folkert J. Ten Cate,Mani A. Vannan,José Luis Zamorano,William A. Zoghbi +27 more
TL;DR: The main goal of this document is to provide a practical guide on how to acquire, analyze, and display the various cardiac structures using 3D echocardiography, as well as limitations of the technique.
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Carotid Plaque Area A Tool for Targeting and Evaluating Vascular Preventive Therapy
TL;DR: Carotid plaque area and progression of plaque identified high-risk patients and may improve cost-effectiveness of secondary preventive treatment and may be useful for targeting preventive therapy.
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Micro/Nanoparticle-Augmented Sonodynamic Therapy (SDT): Breaking the Depth Shallow of Photoactivation.
TL;DR: It is highly expected that micro/nanoparticle‐augmented SDT will be quickly developed as a new and efficient therapeutic modality which will find practical applications in cancer treatment and fundamental disciplines regarding materials science, chemistry, medicine and nanotechnology will be advanced.
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Deep Learning in Medical Ultrasound Analysis: A Review
TL;DR: Several popular deep learning architectures are briefly introduced, and their applications in various specific tasks in US image analysis, such as classification, detection, and segmentation are discussed.
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Image-based computational fluid dynamics modeling in realistic arterial geometries.
TL;DR: In this article, the authors review progress made largely within the last five years towards the routine use of anatomically realistic CFD models, derived from in vivo medical imaging, to elucidate the role of local hemodynamics in the development and progression of atherosclerosis in large arteries.
References
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