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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.

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Citations
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Journal ArticleDOI

Accuracy of Ultrasound Measurements by Novices: Pixels or Voxels

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Pressure ulcer risk: the effect of anatomical features on interface pressure and tissue deformation in people with spinal cord injury

Jaxon Vallely
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Book ChapterDOI

3D object volume measurement using freehand ultrasound

TL;DR: The algorithms are based on Watanabe formula for volume computation and use cubic spline interpolation and allow object volume evaluation on initial image sequence without reconstruction of 3D cube avoiding inevitable data loss at this pre-processing stage.
Journal ArticleDOI

A Flexible Graphene-Based Fabric Ultrasound Source for Machine Learning Enhanced Information Encryption

TL;DR: Li et al. as mentioned in this paper proposed a flexible graphene-based fabric ultrasound source (GUS) for machine learning enhanced information encryption, which can be used as an excellent encrypted transmission medium carrying information due to its strong concealment and small interference.
Patent

Simultaneous ultrasonic viewing of 3d volume from multiple directions

TL;DR: In this article, an ultrasonic diagnostic imaging system scans a volumetric region of a body, and a clinician defines a 3D region of interest within the volumeetric region.
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