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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.

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References
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Journal ArticleDOI

Prostate boundary segmentation from 2D ultrasound images

TL;DR: An algorithm is described for semiautomatic segmentation of the prostate from 2D ultrasound images that uses model-based initialization and the efficient discrete dynamic contour.
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A three-dimensional ultrasound prostate imaging system

TL;DR: A three-dimensional transrectal ultrasound imaging system, based on using a motorized 5 MHz transducer assembly, rotated under microcomputer control, to collect a series of 100 two-dimensional images, digitized by a video frame-grabber, shows that distance and volume measurements are both accurate to about +/- 1%, and that the reconstruction algorithm increases the mean FWHM by 8 +/-3% axially and 3 +/- 3% laterally.
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Stradx: real-time acquisition and visualization of freehand three-dimensional ultrasound.

TL;DR: A novel freehand 3-D ultrasound system which allows accurate acquisition of the raw data and immediate visualization of arbitrary slices through the data as well as minimal processing separates the acquisition and visualization processes.
Journal ArticleDOI

Three-dimensional ultrasound imaging.

TL;DR: The development of a number of three-dimensional ultrasound imaging systems that make use of B mode, color Doppler, and power doppler are described, with regard to their applications and limitations.
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