Fast perfluorocarbon imaging using <sup>19</sup>F U‐FLARE

Börnert, Peter; Norris, David G.; Koch, Henning; Dreher, Wolfgang; Reichelt, Helmut; Leibfritz, Dieter

doi:10.1002/mrm.1910290211

Cited by 28 publications

(17 citation statements)

References 32 publications

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“…Research on fast MRI is ongoing and there are many approaches to this complex topic, including restricted k-space acquisition, compressed sensing algorithms for fast acquisition [43] and innovative sequences. Fast imaging has been applied to 19 F imaging, for example using fast imaging sequences like fast low angle shot (FLASH), fast low angle rapid acquisition with relaxation enhancement (FLARE), and RARE (or fast spin echo) [44-49]. A key concern toward clinical applicability of fast imaging sequences is the specific absorption rate (SAR) deposition.…”

Section: In Vivo Imagingmentioning

confidence: 99%

19F MRI for quantitative in vivo cell tracking

Srinivas

Heerschap

Ahrens

et al. 2010

Trends in Biotechnology

260

277

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Cellular therapy, including stem cell transplants and dendritic cell vaccines, is typically monitored for dosage optimization, accurate delivery and localization using non-invasive imaging, of which magnetic resonance imaging (MRI) is a key modality. 19 F MRI retains the advantages of MRI as an imaging modality, while allowing direct detection of labelled cells for unambiguous identification and quantification, unlike typical metal-based contrast agents. Recent developments in 19 F MRIbased in vivo cell quantification, the existing clinical use of 19 F compounds and current explosive interest in cellular therapeutics have brought 19 F imaging technology closer to clinical application.

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Section: In Vivo Imagingmentioning

confidence: 99%

19F MRI for quantitative in vivo cell tracking

Srinivas

Heerschap

Ahrens

et al. 2010

Trends in Biotechnology

260

277

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“…The errors ⌬i(i ϭ R 1 0 ,r) of the fit parameters in the four-parameter fit were calculated from the corresponding covariance matrix, weighted by the sum of squares 2 of the fit as follows: [ 7 ] with C ii given by the diagonal elements in the covariance matrix.…”

Section: Quantitative Measurement Of Regional Oxygen Partial Pressurementioning

confidence: 99%

“…Recently, several methods for quantitative determination of pO2 based on 19 F-MRI of perfluorocarbon compounds have been suggested (1,(5)(6)(7)(8)(9). Paramagnetic oxygen reduces the longitudinal relaxation time (T 1 ) of the 19 F MR resonances in PFCs.…”

mentioning

confidence: 99%

¹⁹F‐MRI of perflubron for measurement of oxygen partial pressure in porcine lungs during partial liquid ventilation

Laukemper-Ostendorf

Scholz

Bürger

et al. 2001

Magnetic Resonance in Med

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Perfluorocarbon compounds (PFCs) have received increasing interest for medical applications because of the high solubility of gases like O 2 and CO 2 in these substances (1). In addition, the suitability of PFCs as a respiratory medium is favored by their low surface tension and biological inertness. With the intrapulmonary application of PFCs, a new therapeutic strategy for the treatment of acute respiratory distress syndrome (ARDS) was developed. This technique is called partial liquid ventilation (PLV) and was first described by Fuhrman et al. in 1991 (2).During PLV, gas exchange is achieved by delivering gas tidal volumes into a lung which has previously been filled with a PFC. In the last few years, several clinical studies have been published focusing on the use of PLV in premature infants as well as in adult ARDS (3,4). However, until now the mechanisms by which PLV improves gas exchange and pulmonary function were not completely understood. Numerous studies have examined the influence of PLV on pulmonary gas exchange and systemic blood gas parameters. Although knowledge of the regional distribution of intrapulmonary oxygen partial pressure (pO2) during PLV is crucial for the understanding of PLV, this distribution has not been measured before.Recently, several methods for quantitative determination of pO2 based on 19 F-MRI of perfluorocarbon compounds have been suggested (1,5-9). Paramagnetic oxygen reduces the longitudinal relaxation time (T 1 ) of the 19 F MR resonances in PFCs. This effect can be used for the generation of an oxygen-dependent MR signal intensity in T 1 -weighted images. Nö th et al. (8) presented a technique based on a chemical shift selective (CHESS) TurboFLASH sequence allowing for the determination of regional pO2. In their study, that sequence was applied in vivo to investigate the regional distribution of pO2 in rats after intravenous injection of a perfluorocarbon emulsion.The first objective of this study was to develop a technique for a visualization of the intrapulmonary distribution of PFC during PLV with high spatial resolution. The second objective was to develop a methodology for the quantification of regional pO2 during PLV of pigs. Special consideration was given to suppress systematic errors by noise and results of a pilot study using this new technique in a healthy pig during PLV are presented. MATERIALS AND METHODS Measurements Experimental SetupAll data were acquired on a 1.5 T Siemens Magnetom Vision whole body scanner with a prototype gradient system (50 mT/m, slew rate 160 mT m -1 ms -1 ). A birdcage RF coil (RAPID Biomedical GmbH, Wü rzburg, Germany) was used for RF transmission and reception. The fluorinated contrast agent used in the animal study was neat liquid perfluoro-octyl-bromide (PFOB) C 8 F 17 Br (LiquiVent , Alliance Pharm. Corp., San Diego, CA, USA).With animal committee approval, in vivo measurements were performed in a healthy, anesthetized pig (body weight, 18 kg) under conditions of PLV. The lungs were filled in part with 20 mL PFOB/kg body weigh...

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“…NMR methods such as the blood oxygenation level dependent (BOLD) techniques (5, 6) where a T2* sensitive gradient echo pulse sequences is used in order to visualize the ratio between oxy/deoxyhemoglobin have been reported in the literature. Nonhydrogen nuclei such as 17 O or 19 F are used to generate MR images (7–12) where the O 2 concentration is reflected in the signal intensity of the image.…”

mentioning

confidence: 99%