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Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dy...

Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dy...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2402424455

Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dynamic myocardial computed tomography perfusion imaging

About this item

Full title

Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dynamic myocardial computed tomography perfusion imaging

Publisher

Dordrecht: Springer Netherlands

Journal title

The International Journal of Cardiovascular Imaging, 2020-09, Vol.36 (9), p.1781-1789

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

We aimed to evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and hemodynamic parameter of dynamic myocardial computed tomography perfusion (CTP). Sixty-eight patients who underwent dynamic myocardial CTP for the assessment of coronary artery disease were enrolled. Dynamic C...

Alternative Titles

Full title

Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dynamic myocardial computed tomography perfusion imaging

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2402424455

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2402424455

Other Identifiers

ISSN

1569-5794

E-ISSN

1573-0743,1875-8312

DOI

10.1007/s10554-020-01878-6

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