MR renography: An algorithm for calculation and correction of cortical volume averaging in medullary renographs

Priester, JA de; Boer, JA den; Giele, Elw Eelco; Christiaans, Mhl; Kessels, Agh Alphons; Hasman, Arie; Engelshoven, J van

doi:10.1002/1522-2586(200009)12:3<453::aid-jmri11>3.0.co;2-z

Cited by 17 publications

(10 citation statements)

References 13 publications

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“…These are not fully data driven methods and have to be performed off-line (after the images are acquired), since they rely on an operator to provide regions of interest (ROls). The ROls are usually derived manually or semi-automatically which is a time-consuming process and is subjected to contrast and observer variation [13], [14]. The motion correction approach proposed in this paper is a fully data-driven approach based on a blind source separation (BSS) technique which exploits the distribution properties of the spatial data, incrementally, in the direction of the time axis.…”

Section: Introductionmentioning

confidence: 99%

On-line spatio-temporal independent component analysis for motion correction in renal DCE-MRI

Kiani

Gordon²,

Windridge

et al. 2012

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

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Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) renography, in common with other medical imaging techniques, is influenced by respiratory motion. As a result, data quantification may be inaccurate. This work presents a novel on-line approach for motion correction by implementing a spatio-temporal independent component analysis method (STICA). This methodology firstly results in removal of motion artefacts and secondly provides independent components that have physiological characteristics. The STICA was applied to 10 healthy volunteers' renal DCE-MRI data. The results were evaluated using independent component curve gradients (ICGs) from different regions of interest and by comparing them with the Rutland-Patlak (RP) analysis. The r values for the ICGs were significantly higher compared to the RP curves. The standard deviations of the IC curve gradients also showed less dispersion with comparison to the RP curve gradients across all the ten volunteers' renal data. © 2012 IEEE

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Section: Introductionmentioning

confidence: 99%

On-line spatio-temporal independent component analysis for motion correction in renal DCE-MRI

Kiani

Gordon²,

Windridge

et al. 2012

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

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“…Moreover, if only small subregions are sampled, the total renal volume required for GFR and RPF estimates remains unknown and the resulting enhancement curves may not be representative of the entire organ. Alternatively, using automated or semi-automated algorithms, the entire kidney may be segmented from the surrounding tissues and collecting system, and the renal parenchyma may be further divided into cortex and medulla (5,47-50) (Figure 6). …”

Section: Introductionmentioning

confidence: 99%

Assessment of Renal Function with Dynamic Contrast-Enhanced MR Imaging

Bokacheva

Rusinek

Zhang

et al. 2008

Magnetic Resonance Imaging Clinics of North America

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MRI is a promising non-invasive modality that can provide a comprehensive picture of renal anatomy and function in a single examination. The advantages of MRI are its high contrast and temporal resolution and lack of exposure to ionizing radiation. In the past few years, considerable progress has been made in development of methods of renal functional MRI and their applications in various diseases. This article reviews the key factors for acquisition and analysis of dynamic contrastenhanced renal MRI (MR renography) and the most significant developments in this field over the past few years.

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“…With careful application, it is possible to directly visualize contrast uptake in the kidney cortex over time (1,2). CE-MRR methods have been validated on porcine kidney models (3) and subsequently used to examine the renal systems of healthy volunteers (4), patients in need of renal transplants (5), and patients with renovascular disease (RVD) (6). The functional aspect of this method (7) has the potential to supplement parameters such as contrast-enhanced MR angiography (MRA) for characterizing RVD.…”

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confidence: 99%

Dynamic MRI contrast enhancement of renal cortex: A functional assessment of renovascular disease in patients with renal artery stenosis

Gandy

Sudarshan

Sheppard

et al. 2003

Magnetic Resonance Imaging

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Purpose: To evaluate differences in the magnitude and time course of renal cortical contrast uptake in patients with minimal, moderate, and severe renal artery stenosis (RAS) using contrast-enhanced magnetic resonance renography (CE-MRR).Materials and Methods: CE-MRR was performed on 56 patients with renovascular disease using a three-dimensional volume interpolated breath-hold examination (VIBE) perfusion sequence. After administration of 2 mL of contrast, nine sequential axial VIBE datasets were acquired: at baseline, 7, 14, 21, 45, 60, 120, 180, and 240 seconds. Aortic peak signal enhancement and cortical peak signal enhancement through the mid portion of each kidney was recorded, along with the time delay between each peak. Each renal artery was subsequently examined using threedimensional contrast-enhanced MR angiography, and graded as being minimally (0%-30%), moderately (31%-70%), or severely (71%-100%) stenotic.Results: When the data were subdivided by RAS category, the cortical to aortic peak enhancement ratio (CAPR) reduced with increasing RAS. Further, the cortical to aortic time delay (CATD) increased with increasing RAS. These measurements were statistically significant between patients with minimal and moderate RAS compared to severe RAS Conclusion: CE-MRR can assist in the differentiation of patients with minimal or moderate RAS from those with severe RAS.

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MR renography: An algorithm for calculation and correction of cortical volume averaging in medullary renographs

Cited by 17 publications

References 13 publications

On-line spatio-temporal independent component analysis for motion correction in renal DCE-MRI

On-line spatio-temporal independent component analysis for motion correction in renal DCE-MRI

Assessment of Renal Function with Dynamic Contrast-Enhanced MR Imaging

Dynamic MRI contrast enhancement of renal cortex: A functional assessment of renovascular disease in patients with renal artery stenosis

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