Title |
Diffusion MR tractography of the heart
|
---|---|
Published in |
Critical Reviews in Diagnostic Imaging, November 2009
|
DOI | 10.1186/1532-429x-11-47 |
Pubmed ID | |
Authors |
David E Sosnovik, Ruopeng Wang, Guangping Dai, Timothy G Reese, Van J Wedeen |
Abstract |
Histological studies have shown that the myocardium consists of an array of crossing helical fiber tracts. Changes in myocardial fiber architecture occur in ischemic heart disease and heart failure, and can be imaged non-destructively with diffusion-encoded MR. Several diffusion-encoding schemes have been developed, ranging from scalar measurements of mean diffusivity to a 6-dimensional imaging technique known as diffusion spectrum imaging or DSI. The properties of DSI make it particularly suited to the generation of 3-dimensional tractograms of myofiber architecture. In this article we review the physical basis of diffusion-tractography in the myocardium and the attributes of the available techniques, placing particular emphasis on DSI. The application of DSI in ischemic heart disease is reviewed, and the requisites for widespread clinical translation of diffusion MR tractography in the heart are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 11 | 6% |
United Kingdom | 3 | 2% |
Spain | 2 | 1% |
France | 1 | <1% |
Norway | 1 | <1% |
Netherlands | 1 | <1% |
Finland | 1 | <1% |
Colombia | 1 | <1% |
Germany | 1 | <1% |
Other | 1 | <1% |
Unknown | 161 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 55 | 30% |
Researcher | 44 | 24% |
Student > Master | 14 | 8% |
Other | 10 | 5% |
Student > Doctoral Student | 10 | 5% |
Other | 30 | 16% |
Unknown | 21 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 53 | 29% |
Engineering | 48 | 26% |
Physics and Astronomy | 18 | 10% |
Agricultural and Biological Sciences | 10 | 5% |
Computer Science | 7 | 4% |
Other | 12 | 7% |
Unknown | 36 | 20% |