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
Opto-Acoustic Image Reconstruction and Motion Tracking Using Convex Optimization
Jason Zalev,Michael C. Kolios +1 more
TL;DR: In this article, the authors describe a framework to iteratively determine the motion of an opto-acoustic probe during a minimization-based image reconstruction process, which uses multiple 2D slices to perform 3D volumetric reconstruction.
Dissertation
Manifold learning for cardiac image analysis: application to temporal enhancement and 3D heart reconstruction from freehand ultrasound
TL;DR: In this article, the authors present a nova forma dusar les tecniques de manifold, extraient informacio no -lineal entre frames d'un cicle cardiac.
Proceedings ArticleDOI
Quantification of carotid arteries atherosclerosis using 3D ultrasound images and area-preserving flattened maps
Bernard Chiu,Bernard Chiu,Micaela Egger,Micaela Egger,J. David Spence,Grace Parraga,Grace Parraga,Aaron Fenster,Aaron Fenster +8 more
TL;DR: This work introduced a metric called 3D vessel-wall-plus-plaque thickness (3D VWT), which was obtained by computing the distance between the carotid wall and lumen surfaces on a point-by-point basis in a 3D image of thecarotid arteries, and proposed a technique to flatten these maps in an area-preserving manner.
Dissertation
Surgical tools localization in 3D ultrasound images
TL;DR: This thesis proposes to use model fitting approach which uses randomized sample consensus (RANSAC) and local optimization and proposes two new shape and appearance models of tool in 3D US images which have comparable accuracy and the lower number of failures than the state of the art projection based methods.
Proceedings ArticleDOI
3D ultrasound reconstruction based on rotational scanning coping with calibration uncertainty
TL;DR: A3D reconstruction technique considering the calibration uncertainty is developed by building a transformation model with a 360 degrees scanning, and an accurate 3D reconstruction with calibration Uncertainty is achieved.
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