Literature DB >> 11384074

Three-dimensional ultrasound imaging.

A Fenster1, D B Downey, H N Cardinal.   

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.

Mesh:

Year:  2001        PMID: 11384074     DOI: 10.1088/0031-9155/46/5/201

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  61 in total

1.  [Quantification of tissue perfusion with novel ultrasound methods].

Authors:  M Krix; H-U Kauczor; S Delorme
Journal:  Radiologe       Date:  2003-10       Impact factor: 0.635

2.  Three-dimensional canine heart model for cardiac elastography.

Authors:  Hao Chen; Tomy Varghese
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  Accurate ultrasound imaging based on range point migration method for the depiction of fetal surface.

Authors:  Hirofumi Taki; Shinya Tanimura; Takuya Sakamoto; Tsuyoshi Shiina; Toru Sato
Journal:  J Med Ultrason (2001)       Date:  2014-09-13       Impact factor: 1.314

4.  Segmentation of elastographic images using a coarse-to-fine active contour model.

Authors:  Wu Liu; James A Zagzebski; Tomy Varghese; Charles R Dyer; Udomchai Techavipoo; Timothy J Hall
Journal:  Ultrasound Med Biol       Date:  2006-03       Impact factor: 2.998

5.  Guiding automated left ventricular chamber segmentation in cardiac imaging using the concept of conserved myocardial volume.

Authors:  Christopher D Garson; Bing Li; Scott T Acton; John A Hossack
Journal:  Comput Med Imaging Graph       Date:  2008-06       Impact factor: 4.790

6.  Three-dimensional ultrasound-guided robotic needle placement: an experimental evaluation.

Authors:  Emad M Boctor; Michael A Choti; Everette C Burdette; Robert J Webster Iii
Journal:  Int J Med Robot       Date:  2008-06       Impact factor: 2.547

7.  Photoacoustic tomography of foreign bodies in soft biological tissue.

Authors:  Xin Cai; Chulhong Kim; Manojit Pramanik; Lihong V Wang
Journal:  J Biomed Opt       Date:  2011-04       Impact factor: 3.170

8.  Preterm neonatal lateral ventricle volume from three-dimensional ultrasound is not strongly correlated to two-dimensional ultrasound measurements.

Authors:  Jessica Kishimoto; Sandrine de Ribaupierre; Fateme Salehi; Walter Romano; David S C Lee; Aaron Fenster
Journal:  J Med Imaging (Bellingham)       Date:  2016-11-09

9.  A freehand ultrasound elastography system with tracking for in vivo applications.

Authors:  Pezhman Foroughi; Hyun-Jae Kang; Daniel A Carnegie; Mark G van Vledder; Michael A Choti; Gregory D Hager; Emad M Boctor
Journal:  Ultrasound Med Biol       Date:  2012-12-17       Impact factor: 2.998

10.  Fast block flow tracking of atrial septal defects in 4D echocardiography.

Authors:  Marius George Linguraru; Nikolay V Vasilyev; Gerald R Marx; Wayne Tworetzky; Pedro J Del Nido; Robert D Howe
Journal:  Med Image Anal       Date:  2008-01-17       Impact factor: 8.545

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