Functional MRI using sensitivity-encoded echo planar imaging (SENSE-EPI)

Preibisch, Christine; Pilatus, Ulrich; Bunke, J.; Hoogenraad, F.; Zanella, Friedhelm E.; Lanfermann, Heinrich

doi:10.1016/s1053-8119(03)00080-6

Cited by 98 publications

(101 citation statements)

References 51 publications

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“…We observed that SENSE-EPI significantly reduced the extent of susceptibility-induced signal intensity loss at 3.0 T compared with spiral imaging. Our results provide quantitative confirmation of the reported benefits of parallel imaging for reducing susceptibility-induced image artifacts, particularly in the temporal and orbitofrontal lobes (12,13). Reducing signal intensity losses Single-shot GE images at similar slice locations collected at 1.5 T using spiral (a) and SENSE (b) EPI.…”

Section: Discussionsupporting

confidence: 78%

Comparison of spiral imaging and SENSE‐EPI at 1.5 and 3.0 T using a controlled cerebrovascular challenge

Winter

Poublanc

Crawley

et al. 2009

Magnetic Resonance Imaging

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Purpose: To quantitatively compare spiral imaging and sensitivity-encoded-echo-planar-imaging (SENSE-EPI) methods for blood oxygen level-dependent (BOLD) imaging using controlled changes in the end-tidal partial pressure of CO 2 (PetCO 2 ) to provide a global BOLD response. Specifically, we examined susceptibility-field-gradient effects on the BOLD sensitivity throughout the brain. Materials and Methods:We quantified cerebrovascular reactivity (CVR) using the BOLD response to cyclic changes in PetCO 2 in five healthy volunteers at 1.5 and 3.0 T using spiral imaging and SENSE-EPI. We compared the two techniques with respect to susceptibility-induced signal dropout and CVR t-statistic.Results: Compared to spiral imaging, SENSE-EPI significantly reduced the volume of signal dropout by 32 Ϯ 18% at 3.0 T. In regions with large susceptibility gradients, SENSE-EPI demonstrated a trend for a greater t-statistic than spiral imaging, particularly at 3.0 T. However, no statistically significant between-technique differences existed. Conclusion:The results at 3.0 T suggest that, compared with spiral imaging, SENSE-EPI reduces signal loss associated with susceptibility field gradients in affected regions without affecting BOLD sensitivity. This study also demonstrates a unique application of controlled PetCO 2 changes to quantitatively compare BOLD techniques, which may be useful for the design of future fMRI studies.

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Section: Discussionsupporting

confidence: 78%

Comparison of spiral imaging and SENSE‐EPI at 1.5 and 3.0 T using a controlled cerebrovascular challenge

Winter

Poublanc

Crawley

et al. 2009

Magnetic Resonance Imaging

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“…Prior information can be incorporated by combining EPI with parallel MR imaging (Golay et al, 2000;Preibisch et al, 2003;Schmidt et al, 2005;Weiger et al, 2002), resulting in fMRI detection sensitivity improvements with sensitivity encoded parallel MRI techniques (Lin et al, 2005b). Prior-informed parallel MRI has been explored using a fixed regularization parameter with empirical singular value decomposition truncation (King, 2001;Sodickson, 2000).…”

Section: Introductionmentioning

confidence: 99%

Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing

et al. 2008

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Developments in multi-channel radio-frequency (RF) coil array technology have enabled functional magnetic resonance imaging (fMRI) with higher degrees of spatial and temporal resolution. While modest improvement in temporal acceleration has been achieved by increasing the number of RF coils, in parallel data acquisition techniques, the maximum attainable acceleration is intrinsically limited only by the amount of independent spatial information in the combined array channels. Since the geometric configuration of a large-n MRI head coil array is similar to that used in EEG electrode or MEG SQUID sensor arrays, the source localization algorithms used in MEG or EEG source imaging can be extended to also process MRI coil array data, resulting in greatly improved temporal resolution by minimizing k-space traversal during signal acquisition. Using a novel approach, we acquire multi-channel MRI head coil array data and then apply inverse reconstruction methods to obtain volumetric fMRI estimates of blood oxygenation level dependent (BOLD) contrast at unprecedented whole-brain acquisition rates of 100 ms per sample. We call this combination of techniques magnetic resonance Inverse Imaging (InI), a method that provides estimates of dynamic spatially-resolved signal change that can be used to construct statistical maps of task-related brain activity. We demonstrate the sensitivity and inter-subject reliability of volumetric InI using an eventrelated design to probe the hemodynamic signal modulations in primary visual cortex. Robust results from both single subject and group analyses demonstrate the sensitivity and feasibility of using volumetric InI in high temporal resolution investigations of human brain function.

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“…The HGS-reconstructed images, I (HGS) l (x,y), for each receiver channel, l ϭ 1,2,…L, can then be obtained with Eq. [6]. In this process, the high-frequency components of the acquired data can be supplemented, although the aliasing artifacts still remain due to undersampling.…”

Section: Hgs-parallel Imagingmentioning

confidence: 99%

High‐resolution fMRI with higher‐order generalized series imaging and parallel imaging techniques (HGS‐parallel)

Yun

Han

et al. 2009

Magnetic Resonance Imaging

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Purpose: To develop a novel approach for high-resolution functional MRI (fMRI) using the conventional gradient-echo sequence. Materials and Methods:Echo-planar imaging (EPI) techniques have generally been used for fMRI studies due to their fast imaging time. However, it is difficult for studying brain function at the submillimeter level using this sequence. In addition, EPI techniques have some drawbacks, such as Nyquist ghosts and geometric distortions in the reconstructed images, and subsequently require additional postprocessing to reduce these artifacts. One way of solving these problems is to acquire fMRI data by means of a conventional gradient-echo imaging sequence instead of EPI. To provide a fast imaging time, the proposed method combines higher-order generalized series (HGS) imaging with a parallel imaging technique which is called the HGS-parallel technique. Results:The proposed HGS-parallel technique achieves a 12.8-fold acceleration in imaging time without the cost of spatial resolution. The proposed method was verified through the application of fMRI studies on normal subjects. Conclusion:This study suggests that the proposed method can be used for high-resolution fMRI studies without the geometric distortion and the Nyquist ghost artifacts compared to EPI.

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Functional MRI using sensitivity-encoded echo planar imaging (SENSE-EPI)

Cited by 98 publications

References 51 publications

Comparison of spiral imaging and SENSE‐EPI at 1.5 and 3.0 T using a controlled cerebrovascular challenge

Comparison of spiral imaging and SENSE‐EPI at 1.5 and 3.0 T using a controlled cerebrovascular challenge

Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing

High‐resolution fMRI with higher‐order generalized series imaging and parallel imaging techniques (HGS‐parallel)

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