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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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Three-dimensional ultrasound study of fetal craniofacial anatomy

TL;DR: Ultrasound has placed itself in a strong position as an imaging technique in day to day obstetric care because of the flexibility of the technique, the moderate costs, the possibility of real-time imaging and the use of non-ionizing radiation.
Proceedings ArticleDOI

The role of sub-dicing in the acoustical design of an ultrasound matrix transducer for carotid arteries imaging

TL;DR: A finite element analysis is employed to evaluate the effect of sub-dicing on the performance of an acoustic stack in a piezoelectric matrix array and shows that two sub- dicing cuts can improve the sensitivity, bandwidth and ringing time, which are all desired for improving the image quality.
Book ChapterDOI

Segmentation of the Carotid Arteries from 3D Ultrasound Images

TL;DR: 3D US is demonstrated to be a viable technique for quantifying the progression and regression of carotid atherosclerosis and algorithms for segmentation ofcarotid vessels are described.
Journal ArticleDOI

Recent Advances in Tracking Devices for Biomedical Ultrasound Imaging Applications

TL;DR: In this paper , the authors explore the potential and challenges associated with different tracking technologies applied to various ultrasound imaging applications, including freehand 3D ultrasound imaging, ultrasound image fusion, ultrasound-guided intervention and treatment.
Proceedings ArticleDOI

Research on three dimensional visualization technologies

Han Wang
TL;DR: The concept of 3D visualization technology is introduced, the principle and key technology of3D visualization, that modeling based on surface model, solid model and mixed model are analyzed, and the main development tools are introduced.
References
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Journal ArticleDOI

Deformable models in medical image analysis: a survey

TL;DR: The rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking is reviewed.
Journal ArticleDOI

Efficient ray tracing of volume data

TL;DR: This paper presents a front-to-back image-order volume-rendering algorithm and discusses two techniques for improving its performance, which employs a pyramid of binary volumes to encode spatial coherence present in the data and uses an opacity threshold to adaptively terminate ray tracing.
Journal ArticleDOI

Review of MR image segmentation techniques using pattern recognition.

TL;DR: This paper has reviewed, with somewhat variable coverage, the nine MR image segmentation techniques itemized in Table II; each has its merits and drawbacks.
Journal ArticleDOI

Magnetic Position and Orientation Tracking System

TL;DR: In this article, linear rotation transformations based upon the previous measurements are applied to both the source excitation and sensor output vectors, yielding quantities that are linearly propotional to small changes in the position and orientation.
Journal ArticleDOI

Multidimensional transfer functions for interactive volume rendering

TL;DR: An important class of 3D transfer functions for scalar data is demonstrated, and the application of multi-dimensional transfer functions to multivariate data is described, and a set of direct manipulation widgets that make specifying such transfer functions intuitive and convenient are presented.
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