Pim Pullens
University of Antwerp
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Publication
Featured researches published by Pim Pullens.
Magnetic Resonance in Medicine | 2005
Laura M. Parkes; Jens V. Schwarzbach; Annemieke A. Bouts; Roel h R. Deckers; Pim Pullens; Christian Kerskens; David G. Norris
The blood oxygen level dependent (BOLD) response, as measured with fMRI, offers good spatial resolution compared to other non‐invasive neuroimaging methods. The use of a spin echo technique rather than the conventional gradient echo technique may further improve the resolution by refocusing static dephasing effects around the larger vessels, so sensitizing the signal to the microvasculature. In this work the width of the point spread function (PSF) of the BOLD response at a field strength of 3 Tesla is compared for these two approaches. A double echo EPI pulse sequence with simultaneous collection of gradient echo and spin echo signal allows a direct comparison of the techniques. Rotating multiple‐wedge stimuli of different spatial frequencies are used to estimate the width of the BOLD response. Waves of activation are created on the surface of the visual cortex, which begin to overlap as the wedge separation decreases. The modulation of the BOLD response decreases with increasing spatial frequency in a manner dependent on its width. The spin echo response shows a 13% reduction in the width of the PSF, but at a cost of at least 3‐fold reduction in contrast to noise ratio. Magn Reson Med, 2005.
Journal of Magnetic Resonance Imaging | 2010
Pim Pullens; Alard Roebroeck; Rainer Goebel
To quantitatively validate diffusion‐weighted MRI (DW‐MRI) applications, a hardware phantom containing crossing fibers at a sub‐voxel level is presented. It is suitable for validation of a large spectrum of DW‐MRI applications from acquisition to fiber tracking, which is an important recurrent issue in the field.
Brain Research | 2015
Timo De Bondt; Dirk Smeets; Pim Pullens; Wim Van Hecke; Yves Jacquemyn; Paul M. Parizel
Resting-state fMRI is a promising imaging technique to evaluate functions in the human brain in health and disease. Different hormonal stages of the female menstrual cycle and hormonal contraceptives use affect results in task-based fMRI; it is however not yet clarified whether resting state networks are also altered. A population of 18 women with a natural cycle, and 19 women using hormonal contraceptives was examined in a longitudinal study-design. The natural cycle group was scanned at 3 time-points (follicular phase, ovulation, luteal phase), and the contraceptives group was scanned twice (inactive pill-phase, active pill-phase). Blood samples were acquired to evaluate hormonal concentrations, and premenstrual symptoms were assessed through daily record of severity of problems questionnaires. Results show no major alterations in the default mode network and the executive control network between different hormonal phases, across or within groups. A positive correlation of functional connectivity in the posterior part of the default mode network (DMN) was found with premenstrual-like symptoms in the hormonal contraceptives group. Using the current methodology, the studied resting state networks seem to show a decent stability throughout menstrual cycle phases. Also, no effect of hormonal contraceptive use is found. Interestingly, we show for the first time an association of DMN alterations with premenstrual-like symptoms, experienced during the inactive pill-phase by a sub-population of women.
International Journal of Biomedical Imaging | 2013
V. Prckovska; H.C. Achterberg; Matteo Bastiani; Pim Pullens; E. Balmashnova; B.M. ter Haar Romeny; Anna Vilanova; Alard Roebroeck
This work investigates the possibilities of applying high-angular-resolution-diffusion-imaging- (HARDI-) based methods in a clinical setting by investigating the performance of non-Gaussian diffusion probability density function (PDF) estimation for a range of b-values and diffusion gradient direction tables. It does so at realistic SNR levels achievable in limited time on a high-performance 3T system for the whole human brain in vivo. We use both computational simulations and in vivo brain scans to quantify the angular resolution of two selected reconstruction methods: Q-ball imaging and the diffusion orientation transform. We propose a new analytical solution to the ODF derived from the DOT. Both techniques are analytical decomposition approaches that require identical acquisition and modest postprocessing times and, given the proposed modifications of the DOT, can be analyzed in a similar fashion. We find that an optimal HARDI protocol given a stringent time constraint (<10 min) combines a moderate b-value (around 2000 s/mm2) with a relatively low number of acquired directions (>48). Our findings generalize to other methods and additional improvements in MR acquisition techniques.
Stem Cell Research & Therapy | 2017
Saskia Grudzenski; Sebastian Baier; Anne D. Ebert; Pim Pullens; Andreas Lemke; Karen Bieback; Rick M. Dijkhuizen; Lothar R. Schad; Angelika Alonso; Michael G. Hennerici; Marc Fatar
BackgroundIn the field of experimental stem cell therapy, intra-arterial (IA) delivery yields the best results concerning, for example, migrated cell number at the targeted site. However, IA application also appears to be associated with increased mortality rates and infarction. Since many rodent studies systemically apply 1 × 106 cells, this could also be a consequence of engrafted cell number. The aim of this study was therefore to investigate the effect of different doses of adipose tissue-derived stem cells (ASCs) on engraftment rates and stroke outcome measured in vivo using 9.4-T high-field magnetic resonance imaging (MRI).MethodsMale Wistar rats (n = 43) underwent a middle cerebral artery occlusion (MCAo) for 45 or 90 min, followed by IA delivery of either saline or 1 × 106, 3 × 105, or 5 × 104 ASCs pre-labelled with very small superparamagnetic iron oxide particles (VSOPs). MRI (9.4-T) analysis was performed 48 h and 9 days post-MCAo. Lesion volumes were assessed by analysis of T2-weighted images and cell signal tracking showing cell engraftment and active cell migration by an improved T2*-analysis.ResultsThe ASC-derived signal intensity increased in the affected hemisphere 48 h post MCAo with injected cell number (p < 0.05). The analysis of stroke volumes revealed an increased infarction after injection of 1 × 106 ASCs compared to controls or application of 5 × 104 ASCs (p < 0.05). At 9 days post-MCAo, injection of 3 × 105 ASCs resulted in reduced infarct volumes (p < 0.05). Correspondingly, MRI analysis revealed no changes in cell numbers between both MRI examinations but showed active ASC migration to the site of infarction.ConclusionOur results confirm that IA injection is an efficient way of targeting damaged brain tissue but its usefulness strongly depends on the right dose of delivered stem cells since this factor has a strong influence on migration rate and infarct volume, with better results for doses below 1 × 106 cells. Future challenges will include the determination of therapeutic doses for best cellular engraftment and stroke outcome.
Neurosurgery | 2016
Süleyman Sener; Wim Van Hecke; Bart Feyen; Gregory Van der Steen; Pim Pullens; Luc Van de Hauwe; Tomas Menovsky; Paul M. Parizel; Philippe G. Jorens; Andrew I.R. Maas
BACKGROUND A great need exists in traumatic brain injury (TBI) and aneurysmal subarachnoid hemorrhage (aSAH) for objective biomarkers to better characterize the disease process and to serve as early endpoints in clinical studies. Diffusion tensor imaging (DTI) has shown promise in TBI, but much less is known about aSAH. OBJECTIVE To explore the use of whole-brain DTI tractography in TBI and aSAH as a biomarker and early endpoint. METHODS Of a cohort of 43 patients with severe TBI (n = 20) or aSAH (n = 23) enrolled in a prospective, observational, multimodality monitoring study, DTI data were acquired at approximately day 12 (median, 12 days; interquartile range, 12-14 days) after injury in 22 patients (TBI, n = 12; aSAH, n = 10). Whole-brain DTI tractography was performed, and the following parameters quantified: average fractional anisotropy, mean diffusivity, tract length, and the total number of reconstructed fiber tracts. These were compared between TBI and aSAH patients and correlated with mortality and functional outcome assessed at 6 months by the Glasgow Outcome Scale Extended. RESULTS Significant differences were found for fractional anisotropy values (P = .01), total number of tracts (P = .03), and average tract length (P = .002) between survivors and nonsurvivors. A sensitivity analysis showed consistency of results between the TBI and aSAH patients for the various DTI measures. CONCLUSION DTI parameters, assessed at approximately day 12 after injury, correlated with mortality at 6 months in patients with severe TBI or aSAH. Similar patterns were found for both TBI and aSAH patients. This supports a potential role of DTI as early endpoint for clinical studies and a predictor of late mortality. ABBREVIATIONS aSAH, aneurysmal subarachnoid hemorrhageDTI, diffusion tensor imagingFA, fractional anisotropyGOSE, Glasgow Outcome Scale ExtendedTBI, traumatic brain injuryTE, echo timeTR, repetition time.
Diffusion Tensor Imaging | 2016
Martijn Froeling; Pim Pullens; Alexander Leemans
Region of interest (ROI) analysis is a widely used method for the analysis of DTI data. An anatomically defined region—either based on anatomical borders or a geometrical shape—is used to extract DTI measures for each subject, which can later be analyzed statistically. ROI analysis can be done either automatically by aligning all subjects to a template, or by manual delineation. In this chapter the basic principles of ROI analysis are discussed, as well as the appropriate use of ROI analysis and potential pitfalls. Finally some examples using real data are shown.
Medical Physics | 2017
Pim Pullens; Piet Bladt; Jan Sijbers; Andrew I.R. Maas; Paul M. Parizel
Purpose: Since Diffusion Weighted Imaging (DWI) data acquisition and processing are not standardized, substantial differences in DWI derived measures such as Apparent Diffusion Coefficient (ADC) may arise which are related to the acquisition or MRI processing method, but not to the sample under study. Quality assurance using a standardized test object, or phantom, is a key factor in standardizing DWI across scanners. Methods: Current diffusion phantoms are either complex to use, not available in larger quantities, contain substances unwanted in a clinical environment, or are expensive. A diffusion phantom based on a polyvinylpyrrolidone (PVP) solution, together with a phantom holder, is presented and compared to existing diffusion phantoms for use in clinical DWI scans. An ADC vs. temperature calibration curve was obtained. Results: ADC of the phantom (808 to 857 ± 0.2 mm2/s) is in the same range as ADC values found in brain tissue. ADC measurements are highly reproducible across time with an intra‐class correlation coefficient of > 0.8. ADC as function of temperature (in Kelvin) can be estimated as Symbol with a total uncertainty (95% confidence limit) of ± 1.7%. Symbol. No Caption available. Conclusion: We present an isotropic diffusion MRI phantom, together with its temperature calibration curve, that is easy‐to‐use in a clinical environment, cost‐effective, reproducible to produce, and that contains no harmful substances.
Journal of Magnetic Resonance Imaging | 2017
Pieter Van Dyck; Martijn Froeling; Eline De Smet; Pim Pullens; Michaël Torfs; Peter Verdonk; Jan Sijbers; Paul M. Parizel; Ben Jeurissen
A great need exists for objective biomarkers to assess graft healing following ACL reconstruction to guide the time of return to sports. The purpose of this study was to evaluate the feasibility and reliability of diffusion tensor imaging (DTI) to delineate the anterior cruciate ligament (ACL) graft and to investigate its diffusion properties using a clinical 3T scanner.
Brain Structure & Function | 2016
Timo De Bondt; Pim Pullens; Wim Van Hecke; Yves Jacquemyn; Paul M. Parizel
Aim of this work was to evaluate the reproducibility of hormone driven regional grey matter volume differences in women, and their correlations with premenstrual symptoms, as determined by voxel-based morphometry (VBM). After data quality control, a total of 138 T1-weighted MR images were included in this longitudinal study, and were analyzed as three different subgroups. Women with a natural menstrual cycle were scanned at three time-points: follicular, ovulatory and luteal phase. Two groups of women, using androgenic and anti-androgenic hormonal contraceptives, respectively, were scanned twice: during the pill-free week and during pill intake. Additionally, subjects were asked to complete a “daily rating of severity of problems” questionnaire, to quantify premenstrual symptoms. All data were analyzed using SPM8 and SPM12 with identical parameter settings. In the natural menstrual cycle group, the regional grey matter volume of the insula is larger at ovulation, as compared to the luteal phase. Premenstrual symptoms correlate differently with regional grey matter volumes between women with a natural cycle and hormonal contraceptive users. Changes in hormonal environment can to various extents affect VBM findings in women. We suggest that researchers take these confounding factors into account while applying this technique, to avoid heterogeneity in data acquisition and to safeguard the sensitivity of findings. Additionally, we suggest validating the consistency of results using more than one software package.