Quantification of superparamagnetic iron oxide with large dynamic range using TurboSPI

Rioux, James A.; Brewer, Kimberly; Beyea, Steven; Bowen, Chris V.

doi:10.1016/j.jmr.2012.01.017

Cited by 10 publications

(13 citation statements)

References 28 publications

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“…Quantitative information can also be obtained by using a pulse sequence such as TurboSPI . Originally designed for imaging water in porous media that have long

{normalR}_{2}^{*}

values but short R 2 values, Rioux et al demonstrated that TurboSPI could also be applied to SPIO‐labeled cells, which exhibited similar magnetic properties . Although TurboSPI traditionally requires long data acquisition times, the sequence was greatly accelerated for in vivo use by adding compressed sensing reconstruction .…”

Section: Discussionmentioning

confidence: 99%

“…It is possible to extract

{normalR}_{2}^{*}

maps from TurboSPI, which when combined with in vitro iron‐loading data allows generation of cellular density maps. Although not specific to iron,

{normalR}_{2}^{*}

maps allow the distinction between iron‐labeled cells and other causes of tissue heterogeneity, such as necrosis, based on the voxel time courses .…”

Section: Discussionmentioning

confidence: 99%

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Using MRI cell tracking to monitor immune cell recruitment in response to a peptide‐based cancer vaccine

Tremblay

Davis

Bowen

et al. 2017

Magnetic Resonance in Med

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“…Quantitative information can also be obtained by using a pulse sequence such as TurboSPI . Originally designed for imaging water in porous media that have long

{normalR}_{2}^{*}

Section: Discussionmentioning

confidence: 99%

“…It is possible to extract

{normalR}_{2}^{*}

maps from TurboSPI, which when combined with in vitro iron‐loading data allows generation of cellular density maps. Although not specific to iron,

{normalR}_{2}^{*}

maps allow the distinction between iron‐labeled cells and other causes of tissue heterogeneity, such as necrosis, based on the voxel time courses .…”

Section: Discussionmentioning

confidence: 99%

Using MRI cell tracking to monitor immune cell recruitment in response to a peptide‐based cancer vaccine

Tremblay

Davis

Bowen

et al. 2017

Magnetic Resonance in Med

Self Cite

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show abstract

“…Previous preclinical work done by our lab demonstrated the use of 3D TurboSPI, adapted for quantifying labeled cells 16,17 . TurboSPI is an accelerated multiecho single point imaging (SPI) sequence that was first developed for porous media with short T2* relaxation times (~1ms).…”

Section: Introductionmentioning

confidence: 99%

“…TurboSPI is an accelerated multiecho single point imaging (SPI) sequence that was first developed for porous media with short T2* relaxation times (~1ms). This sequence produces high temporal resolution data (sampled at ~100 kHz) which enables high fidelity R2* mapping with greater dynamic range and fewer artifacts due to the purely phase-encoded acquisition 16,17,21,22 .…”

Section: Introductionmentioning

confidence: 99%

Cell density quantification with TurboSPI: R2* mapping with compensation for off-resonance fat modulation

O’Brien-Moran

Bowen

Rioux

et al. 2019

Magn Reson Mater Phy

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Tracking the migration of superparamagnetic iron oxide (SPIO) labeled immune cells in vivo is valuable for understanding the immunogenic response to cancer and therapies. While many sequences are sensitive to SPIO contrast, they lack specificity and provide only semi-quantitative information. Quantitative cell tracking using compressed sensing TurboSPI-based R2* mapping is a promising development to improve accuracy in longitudinal studies on immune recruitment. The phaseencoded TurboSPI sequence provides high fidelity relaxation data in the form of signal time-courses with high temporal resolution. However, early in vivo applications of this method revealed that simple mono-exponential R2* fitting performs poorly due to the contaminant fat signal in voxels surrounding regions of interest, such as flank tumors and lymph nodes adjacent to adipose tissue. This is especially problematic if there is poor infiltration to the tumor such that immune cells remain near the periphery. The presence of an off-resonance fat isochromat results in modulations in the signal time-course can be erroneously fit as R2* signal decay, thereby overestimating the density of SPIO labeled cells. Simply excluding any voxel with fat-typical modulations results in underestimates in voxels that have mixed content. We propose using a more comprehensive dual-decay (R2f* and R2w*) Dixonbased signal model that accounts for the potential presence of fat in a voxel to better estimate SPIO induced de-phasing. In silico single voxel simulations illustrate how the proposed signal model provides stable R2w* estimates that are invariant to fat content. The proposed dual-decay model outperforms previous methods when applied to in vitro samples of SPIO labeled cells and oil prepared with oil content ≥15%. Preliminary in vivo results show that, compared to previous methods, the dual-decay Dixon model improves the balance of R2* specificity versus sensitivity, which in turn will result in more reliable analysis in future cell tracking studies.

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“…[82] Another study used TurboSPI, a multi-echo single point imaging sequence, for the quantification of labeled cells containing moderate to high concentrations (20–120 µg·ml −1 ) of SPIO nanoparticles. [83] A variable flip angle sweep imaging with Fourier Transform was also used for quantification of high concentration (1–7 mM Fe) of SPIO nanoparticles. [68] …”

Section: Review Of Mri Contrast Agents and Labeling Tracking Andmentioning

confidence: 99%

Tracking and Quantification of Magnetically Labeled Stem Cells Using Magnetic Resonance Imaging

Goodfellow

Simchick

Mortensen

et al. 2016

Adv Funct Materials

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Stem cell based therapies have critical impacts on treatments and cures of diseases such as neurodegenerative or cardiovascular disease. In vivo tracking of stem cells labeled with magnetic contrast agents is of particular interest and importance as it allows for monitoring of the cells’ bio-distribution, viability, and physiological responses. Herein, recent advances are introduced in tracking and quantification of super-paramagnetic iron oxide (SPIO) nanoparticles-labeled cells with magnetic resonance imaging, a noninvasive approach that can longitudinally monitor transplanted cells. This is followed by recent translational research on human stem cells that are dual-labeled with green fluorescence protein (GFP) and SPIO nanoparticles, then transplanted and tracked in a chicken embryo model. Cell labeling efficiency, viability, and cell differentiation are also presented.

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Quantification of superparamagnetic iron oxide with large dynamic range using TurboSPI

Cited by 10 publications

References 28 publications

Using MRI cell tracking to monitor immune cell recruitment in response to a peptide‐based cancer vaccine

Using MRI cell tracking to monitor immune cell recruitment in response to a peptide‐based cancer vaccine

Cell density quantification with TurboSPI: R2* mapping with compensation for off-resonance fat modulation

Tracking and Quantification of Magnetically Labeled Stem Cells Using Magnetic Resonance Imaging

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