Cine magnetic resonance blood flow imaging in clinical use

Db, Longmore; Firmin, D. N.; Naylor, GL; Underwood, S. R.; Klipstein, R. H.

doi:10.1016/0730-725x(86)90991-4

Cited by 2 publications

(2 citation statements)

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“…The signal from blood distal to the constriction suggested slow moving blood, and velocity mapping showed a peak velocity of 406 mm/s in the ascending aorta (normal range 370 to 690 MM/S24 but only 103 mm/s in the descending aorta (normal range 283 to 711 mm/s. 24 .0*1 This low velocity confirmed the functional importance of the stenosis.…”

Section: Aortic Coarctationmentioning

confidence: 56%

Magnetic resonance velocity mapping: clinical application of a new technique.

Underwood¹,

Firmin²,

Klipstein³

et al. 1987

Heart

141

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Section: Aortic Coarctationmentioning

confidence: 56%

Magnetic resonance velocity mapping: clinical application of a new technique.

Underwood¹,

Firmin²,

Klipstein³

et al. 1987

Heart

141

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“…Blood flow measurements : Information about blood flow in the heart and its surrounding vessels have been investigated for decades [SW71, PH83], as they can improve the diagnosis and prognosis of cardiovascular diseases (CVDs). Earlier advances in magnetic resonance velocity mapping [BPFL84, UFK*87] using the echo rephasing sequence [PN85, LFN*86, NFL86] are the basis for a two‐dimensional phase‐contrast magnetic resonance imaging (2D PC‐MRI) [KFU*87]. Due to its non‐invasiveness, decent spatial resolution and the quantitative character of the data, 2D PC‐MRI became a useful tool in the clinical routine to measure regional blood flow in one 2D plane, which is angulated prior to the scan.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Cardiac 4D PC‐MRI Data Processing

Köhler

Born

Pelt

et al. 2016

Computer Graphics Forum

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Cardiac four-dimensional phase-contrast magnetic resonance imaging (4D PC-MRI) acquisitions have gained increasing clinical interest in recent years. They allow to non-invasively obtain extensive information about patient-specific hemodynamics, and thus have a great potential to improve the diagnosis, prognosis and therapy planning of cardiovascular diseases. A dataset contains time-resolved, three-dimensional blood flow directions and strengths, making comprehensive qualitative and quantitative data analysis possible. Quantitative measures, such as stroke volumes, help to assess the cardiac function and to monitor disease progression. Qualitative analysis allows to investigate abnormal flow characteristics, such as vortices, which are correlated to different pathologies. Processing the data comprises complex image processing methods, as well as flow analysis and visualization. In this work, we mainly focus on the aorta. We provide an overview of data measurement and pre-processing, as well as current visualization and quantification methods. This allows other researchers to quickly catch up with the topic and take on new challenges to further investigate the potential of 4D PC-MRI data.

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Cine magnetic resonance blood flow imaging in clinical use

Cited by 2 publications

References 0 publications

Magnetic resonance velocity mapping: clinical application of a new technique.

Magnetic resonance velocity mapping: clinical application of a new technique.

A Survey of Cardiac 4D PC‐MRI Data Processing

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