Quantification of fluid flow through a clinical blood filter and kidney dialyzer using magnetic resonance imaging

Heese, Frank P.; Robson, Philip M.; Hall, Luis J.

doi:10.1109/jsen.2005.843899

Cited by 5 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the findings of this study, it is concluded that weighted least-squares optical flow method can be used to 4 In the case of real spin-tagging MRI images, variances were estimated for the four points shown in figure 2. In reliably extract two-dimensional flow fields from spintagging MRI images in the case of sequences with no or medium (SNR=25dB) noise level.…”

Section: Discussionmentioning

confidence: 87%

“…The design and optimization of chemical reactors [1], miniature fluidic technologies [2], interventional vascular devices [3], and a plethora of organ assist and replacement devices [4] [5], requires the non-invasive quantification of internal flow fields. Magnetic Resonance Imaging (MRI) can provide truly non-invasive measurements in these opaque systems, however, existing MRI techniques cannot approach the temporal (near-msec) resolution required to resolve the associated fast flows because of the intrinsic relaxation delays associated with phase encoding [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Velocity extraction from spin-tagging MRI images using a weighted least-squares optical flow method

Stoitsis

Bastouni

Karampinos

et al. 2007

2007 IEEE International Workshop on Imaging Systems and Techniques

View full text Add to dashboard Cite

Magnetic Resonance Imaging (MRI) can provide truly non-invasive measurements of internalflowfields. The extraction of velocityfrom spin-tagging images requires the quantitative tracking of grid nodes. A weighted least-squares optical flow method was used in this work to estimate the displacements ofthe grid nodes and tags from synthetic and real spin-tagging MRI images. To investigate the accuracy of the proposed method, synthetic spintagging images were generated using the Poiseuille law analytical profile. Three synthetic sequences with different levels ofnoise were generated and the average and maximum absolute errors were estimatedfor points corresponding to grid nodes and tags. Diferent sizes and shapes of region of interest (ROI) were investigated to determine the optimal size and shape for reliable extraction of velocity both for synthetic and real spin-tagging MRI images. The optimal ROI size was found to be 13x13 pixels2. The average and maximum absolute error for the velocity in vertical direction for synthetic data using the optimal ROI size rangedfrom 5.46% to 14.42% andfrom 6.39% to 31.96% respectively.

show abstract

Section: Discussionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Velocity extraction from spin-tagging MRI images using a weighted least-squares optical flow method

Stoitsis

Bastouni

Karampinos

et al. 2007

2007 IEEE International Workshop on Imaging Systems and Techniques

View full text Add to dashboard Cite

show abstract

“…However, most imaging studies have focused on testing and improving the efficacy of dialyzers by directly measuring flow (velocity) within the dialysis fibers to probe homogeneous fluid transport (2–9) and assess the impact of different design innovations (10, 11). MR imaging and spectroscopy studies of HFM bioreactors have also been reported.…”

Section: Introductionmentioning

confidence: 99%

“…As the native application of bioreactors is support of cell cultures, the majority of this literature is focused on monitoring and characterizing cell growth within the bioreactor via diffusion weighting, velocity encoding, or contrast enhancement (12–14). HFM perfusion measurements using spectroscopic methods have also been reported (9, 15–17). …”

Section: Introductionmentioning

confidence: 99%

Semipermeable hollow fiber phantoms for development and validation of perfusion‐sensitive mr methods and signal models

Anderson

Ackerman

Garbow

2011

Concepts Magn Reson

View full text Add to dashboard Cite

Two semipermeable, hollow fiber phantoms for the validation of perfusion-sensitive magnetic resonance methods and signal models are described. Semipermeable hollow fibers harvested from a standard commercial hemodialysis cartridge serve to mimic tissue capillary function. Flow of aqueous media through the fiber lumen is achieved with a laboratory-grade peristaltic pump. Diffusion of water and solute species (e.g., Gd-based contrast agent) occurs across the fiber wall, allowing exchange between the lumen and the extralumenal space. Phantom design attributes include: i) small physical size, ii) easy and low-cost construction, iii) definable compartment volumes, and iv) experimental control over media content and flow rate.

show abstract

“…[15][16][17][18][19][20] Because pressure is an integral property in incompressible Navier-Stokes equation solutions, nonunique velocity fields might exist for a given pressure distribution. While only a few studies have experimentally analyzed the perfusion dynamics in membranous devices, most of these data either lack spatial resolution or are restricted to unidirectional flow fields.…”

mentioning

confidence: 99%

Biplane Angiography for Experimental Validation of Computational Fluid Dynamic Models of Blood Flow in Artificial Lungs

Jones

Capasso²,

McDonough³

et al. 2013

ASAIO Journal

View full text Add to dashboard Cite

This article presents an investigation into the validation of velocity fields obtained from computational fluid dynamic (CFD) models of flow through the membrane oxygenators using x-ray digital subtraction angiography (DSA). Computational fluid dynamic is a useful tool in characterizing artificial lung devices, but numerical results must be experimentally validated. We used DSA to visualize flow through a membrane oxygenator at 2 L/min using 37% glycerin at 22°C. A Siemens Artis Zee system acquired biplane x-ray images at 7.5 frames per second, after infusion of an iodinated contrast agent at a rate of 33 ml/s. A maximum cross-correlation (MCC) method was used to track the contrast perfusion through the fiber bundle. For the CFD simulations, the fiber bundle was treated as a single momentum sink according to the Ergun equation. Blood was modeled as a Newtonian fluid, with constant viscosity (3.3 cP) and density (1050 kg/m3). Although CFD results and experimental pressure measurements were in general agreement, the simulated 2 L/min perfusion did not reproduce the flow behavior seen in vitro. Simulated velocities in the fiber bundle were on average 42% lower than experimental values. These results indicate that it is insufficient to use only pressure measurements for validation of the flow field because pressure-validated CFD results can still significantly miscalculate the physical velocity field. We have shown that a clinical x-ray modality, together with a MCC tracking algorithm, can provide a nondestructive technique for acquiring experimental data useful for validation of the velocity field inside membrane oxygenators.

show abstract

Quantification of fluid flow through a clinical blood filter and kidney dialyzer using magnetic resonance imaging

Cited by 5 publications

References 5 publications

Velocity extraction from spin-tagging MRI images using a weighted least-squares optical flow method

Velocity extraction from spin-tagging MRI images using a weighted least-squares optical flow method

Semipermeable hollow fiber phantoms for development and validation of perfusion‐sensitive mr methods and signal models

Biplane Angiography for Experimental Validation of Computational Fluid Dynamic Models of Blood Flow in Artificial Lungs

Contact Info

Product

Resources

About