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Dive into the research topics where Fu-Nien Wang is active.

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Featured researches published by Fu-Nien Wang.


Magnetic Resonance in Medicine | 2005

PROPELLER EPI: An MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions†

Fu-Nien Wang; Teng Yi Huang; Fa-Hsuan Lin; Tzu-Chao Chuang; Nan-kuei Chen; Hsiao-Wen Chung; Cheng Yu Chen; Kenneth K. Kwong

A technique suitable for diffusion tensor imaging (DTI) at high field strengths is presented in this work. The method is based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) k‐space trajectory using EPI as the signal readout module, and hence is dubbed PROPELLER EPI. The implementation of PROPELLER EPI included a series of correction schemes to reduce possible errors associated with the intrinsically higher sensitivity of EPI to off‐resonance effects. Experimental results on a 3.0 Tesla MR system showed that the PROPELLER EPI images exhibit substantially reduced geometric distortions compared with single‐shot EPI, at a much lower RF specific absorption rate (SAR) than the original version of the PROPELLER fast spin‐echo (FSE) technique. For DTI, the self‐navigated phase‐correction capability of the PROPELLER EPI sequence was shown to be effective for in vivo imaging. A higher signal‐to‐noise ratio (SNR) compared to single‐shot EPI at an identical total scan time was achieved, which is advantageous for routine DTI applications in clinical practice. Magn Reson Med, 2005.


Magnetic Resonance in Medicine | 2004

Fat and Water Separation in Balanced Steady-State Free Precession Using the Dixon Method

Teng Yi Huang; Hsiao-Wen Chung; Fu-Nien Wang; Cheng Wen Ko; Cheng Yu Chen

In this work the feasibility of separating fat and water signals using the balanced steady‐state free precession (SSFP) technique is demonstrated. The technique is based on the observation (Scheffler and Hennig, Magnetic Resonance in Medicine 2003;49:395–397) that at the nominal values of TE = TR/2 in SSFP imaging, phase coherence can be achieved at essentially only two orientations (0° and 180°) relative to the RF pulses in the rotating frame, under the assumption of TR << T2, and independently of the SSFP angle. This property allows in‐phase and out‐of‐phase SSFP images to be obtained by proper choices of the center frequency offset, and thus allows the Dixon subtraction method to be utilized for effective fat–water separation. The TR and frequency offset for optimal fat–water separation are derived from theories. Experimental results from healthy subjects, using a 3.0 Tesla system, show that nearly complete fat suppression can be accomplished. Magn Reson Med 51:243–247, 2004.


Magnetic Resonance in Medicine | 2005

Functional MRI Using Regularized Parallel Imaging Acquisition

Fa-Hsuan Lin; Teng-Yi Huang; Nan-kuei Chen; Fu-Nien Wang; Steven M. Stufflebeam; John W. Belliveau; Lawrence L. Wald; Kenneth K. Kwong

Parallel MRI techniques reconstruct full‐FOV images from undersampled k‐space data by using the uncorrelated information from RF array coil elements. One disadvantage of parallel MRI is that the image signal‐to‐noise ratio (SNR) is degraded because of the reduced data samples and the spatially correlated nature of multiple RF receivers. Regularization has been proposed to mitigate the SNR loss originating due to the latter reason. Since it is necessary to utilize static prior to regularization, the dynamic contrast‐to‐noise ratio (CNR) in parallel MRI will be affected. In this paper we investigate the CNR of regularized sensitivity encoding (SENSE) acquisitions. We propose to implement regularized parallel MRI acquisitions in functional MRI (fMRI) experiments by incorporating the prior from combined segmented echo‐planar imaging (EPI) acquisition into SENSE reconstructions. We investigated the impact of regularization on the CNR by performing parametric simulations at various BOLD contrasts, acceleration rates, and sizes of the active brain areas. As quantified by receiver operating characteristic (ROC) analysis, the simulations suggest that the detection power of SENSE fMRI can be improved by regularized reconstructions, compared to unregularized reconstructions. Human motor and visual fMRI data acquired at different field strengths and array coils also demonstrate that regularized SENSE improves the detection of functionally active brain regions. Magn Reson Med 54:343–353, 2005.


Nature Communications | 2016

Identification of plant vacuolar transporters mediating phosphate storage.

Tzu-Yin Liu; Teng-Kuei Huang; Shu-Yi Yang; Yu-Ting Hong; Sheng-Min Huang; Fu-Nien Wang; Su-Fen Chiang; Shang-Yueh Tsai; Wen-Chien Lu; Tzyy-Jen Chiou

Plant vacuoles serve as the primary intracellular compartments for inorganic phosphate (Pi) storage. Passage of Pi across vacuolar membranes plays a critical role in buffering the cytoplasmic Pi level against fluctuations of external Pi and metabolic activities. Here we demonstrate that the SPX-MFS proteins, designated as PHOSPHATE TRANSPORTER 5 family (PHT5), also named Vacuolar Phosphate Transporter (VPT), function as vacuolar Pi transporters. Based on 31P-magnetic resonance spectroscopy analysis, Arabidopsis pht5;1 loss-of-function mutants accumulate less Pi and exhibit a lower vacuolar-to-cytoplasmic Pi ratio than controls. Conversely, overexpression of PHT5 leads to massive Pi sequestration into vacuoles and altered regulation of Pi starvation-responsive genes. Furthermore, we show that heterologous expression of the rice homologue OsSPX-MFS1 mediates Pi influx to yeast vacuoles. Our findings show that a group of Pi transporters in vacuolar membranes regulate cytoplasmic Pi homeostasis and are required for fitness and plant growth.


Magnetic Resonance in Medicine | 2006

PROPELLER-EPI with parallel imaging using a circularly symmetric phased-array RF coil at 3.0 T : Application to high-resolution diffusion tensor imaging

Tzu-Chao Chuang; Teng-Yi Huang; Fa-Hsuan Lin; Fu-Nien Wang; Chun-Jung Juan; Hsiao-Wen Chung; Cheng-Yu Chen; Kenneth K. Kwong

A technique integrating multishot periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) and parallel imaging is presented for diffusion echo‐planar imaging (EPI) at high spatial resolution. The method combines the advantages of parallel imaging to achieve accelerated sampling along the phase‐encoding direction, and PROPELLER acquisition to further decrease the echo train length (ETL) in EPI. With an eight‐element circularly symmetric RF coil, a parallel acceleration factor of 4 was applied such that, when combined with PROPELLER acquisition, a reduction of geometric distortions by a factor substantially greater than 4 was achieved. The resulting phantom and human brain images acquired with a 256 × 256 matrix and an ETL of only 16 were visually identical in shape to those acquired using the fast spin‐echo (FSE) technique, even without field‐map corrections. It is concluded that parallel PROPELLER‐EPI is an effective technique that can substantially reduce susceptibility‐induced geometric distortions at high field strength. Magn Reson Med, 2006.


Magnetic Resonance in Medicine | 2007

Parallel MRI reconstruction using variance partitioning regularization

Fa-Hsuan Lin; Fu-Nien Wang; Seppo P. Ahlfors; Matti Hämäläinen; John W. Belliveau

Multiple receivers can be utilized to enhance the spatiotemporal resolution of MRI by employing the parallel imaging technique. Previously, we have reported the L‐curve Tikhonov regularization technique to mitigate noise amplification resulting from the geometrical correlations between channels in a coil array. Nevertheless, one major disadvantage of regularized image reconstruction is lengthy computational time in regularization parameter estimation. At a fixed noise level, L‐curve regularization parameter estimation was also found not to be robust across repetitive measurements, particularly for low signal‐to‐noise ratio (SNR) acquisitions. Here we report a computationally efficient and robust method to estimate the regularization parameter by partitioning the variance of the noise‐whitened encoding matrix based on the estimated SNR of the aliased pixel set in parallel MRI data. The proposed Variance Partitioning Regularization (VPR) method can improve computational efficiency by 2–5‐fold, depending on image matrix sizes and acceleration rates. Our anatomical and functional MRI results show that the VPR method can be applied to both static and dynamic MRI experiments to suppress noise amplification in parallel MRI reconstructions for improved image quality. Magn Reson Med 58:735–744, 2007.


Magnetic Resonance in Medicine | 2012

Reconstruction of MRI data encoded by multiple nonbijective curvilinear magnetic fields.

Fa-Hsuan Lin; Thomas Witzel; Gerrit Schultz; Daniel Gallichan; Wen-Jui Kuo; Fu-Nien Wang; Juergen Hennig; Maxim Zaitsev; John W. Belliveau

Parallel imaging technique using localized gradients (PatLoc) uses the combination of surface gradient coils generating nonbijective curvilinear magnetic fields for spatial encoding. PatLoc imaging using one pair of multipolar spatial encoding magnetic fields (SEMs) has two major caveats: (1) The direct inversion of the encoding matrix requires exact determination of multiple locations which are ambiguously encoded by the SEMs. (2) Reconstructed images have a prominent loss of spatial resolution at the center of field‐of‐view using a symmetric coil array for signal detection. This study shows that a PatLoc system actually has a higher degree of freedom in spatial encoding to mitigate the two challenges mentioned above. Specifically, a PatLoc system can generate not only multipolar but also linear SEMs, which can be used to reduce the loss of spatial resolution at the field‐of‐view center. Here, we present an efficient and generalized image reconstruction method for PatLoc imaging using multiple SEMs without explicitly identifying the locations where SEM encoding is not unique. Reconstructions using simulations and empirical experimental data are compared with those using conventional linear gradients to demonstrate that the general combination of SEMs can improve image reconstructions. Magn Reson Med, 2012.


Neuroscience Letters | 2008

Inhibition of stimulated dopamine release and hemodynamic response in the brain through electrical stimulation of rat forepaw

Y. Iris Chen; Jiaqian Ren; Fu-Nien Wang; Haibo Xu; Joseph B. Mandeville; Young R. Kim; Bruce R. Rosen; Bruce G. Jenkins; Kathleen K.S. Hui; Kenneth K. Kwong

The subcortical response to peripheral somatosensory stimulation is not well studied. Prior literature suggests that somatosensory stimulation can affect dopaminergic tone. We studied the effects of electrical stimulation near the median nerve on the response to an amphetamine-induced increase in synaptic dopamine. We applied the electrical stimulation close to the median nerve 20 min after administration of 3mg/kg amphetamine. We used fMRI and microdialysis to measure markers of dopamine (DA) release, together with the release of associated neurotransmitters of striatal glutamate (Glu) and gamma-aminobutyric acid (GABA). Changes in cerebral blood volume (CBV), a marker used in fMRI, indicate that electrical stimulation significantly attenuated increased DA release (due to AMPH) in the striatum, thalamus, medial prefrontal and cingulate cortices. Microdialysis showed that electrical stimulation increased Glu and GABA release and attenuated the AMPH-enhanced DA release. The striatal DA dynamics correlated with the CBV response. These results demonstrate that electrical stimulation near the median nerve activates Glu/GABA release, which subsequently attenuate excess striatal DA release. These data provide evidence for physiologic modulation caused by electroacupuncture at points near the median nerve.


NMR in Biomedicine | 2013

Analysis of parametric histogram from dynamic contrast-enhanced MRI: application in evaluating brain tumor response to radiotherapy

Shin Lei Peng; Chih Feng Chen; Ho Ling Liu; Chun Chung Lui; Yu Jie Huang; Tsung Han Lee; Chiung Chih Chang; Fu-Nien Wang

Dynamic contrast‐enhanced MRI (DCE MRI) has been used to study tumor response to treatment for many years. In this study, the modified full width at half‐maximum (mFWHM), calculated from the wash‐in slope histogram, is proposed as a parameter for the evaluation of changes in tumor heterogeneity which respond to radiotherapy. Twenty‐five patients with brain tumors were evaluated and divided into the nonresponder group (n = 11) and the responder group (n = 14) according to the Response Evaluation Criteria in Solid Tumors (RECIST). All selected tumors were evaluated by mFWHM ratios of post‐ to pre‐therapy (the ratio was defined as the therapeutic mFWHM ratio, TMR). The changes in kurtosis of the histograms and the averaged Ktrans within a tumor were also calculated for comparison. The receiver operating characteristic analysis and Kaplan–Meier curves were used to examine the diagnosis ability. The TMR values were significantly higher in nonresponders than in responders (p < 0.001). When compared with the other two parameters, the proposed method also demonstrated better sensitivity and specificity. When adopting the TMR for the estimation of prognosis after therapy, there was a significant difference between the population survival curves. In conclusion, the derived mFWHM reflects tumor heterogeneity, and the ability to depict patient survival probability from TMR corresponds well with that from RECIST. The results reveal that, in brain tumors, progression may be exhibited not only by tumor size, but also by tumor heterogeneity. Copyright


Human Brain Mapping | 2012

Physiological noise reduction using volumetric functional magnetic resonance inverse imaging

Fa-Hsuan Lin; Aapo Nummenmaa; Thomas Witzel; Jonathan R. Polimeni; Thomas A. Zeffiro; Fu-Nien Wang; John W. Belliveau

Physiological noise arising from a variety of sources can significantly degrade the detection of task‐related activity in BOLD‐contrast fMRI experiments. If whole head spatial coverage is desired, effective suppression of oscillatory physiological noise from cardiac and respiratory fluctuations is quite difficult without external monitoring, since traditional EPI acquisition methods cannot sample the signal rapidly enough to satisfy the Nyquist sampling theorem, leading to temporal aliasing of noise. Using a combination of high speed magnetic resonance inverse imaging (InI) and digital filtering, we demonstrate that it is possible to suppress cardiac and respiratory noise without auxiliary monitoring, while achieving whole head spatial coverage and reasonable spatial resolution. Our systematic study of the effects of different moving average (MA) digital filters demonstrates that a MA filter with a 2 s window can effectively reduce the variance in the hemodynamic baseline signal, thereby achieving 57%–58% improvements in peak z‐statistic values compared to unfiltered InI or spatially smoothed EPI data (FWHM = 8.6 mm). In conclusion, the high temporal sampling rates achievable with InI permit significant reductions in physiological noise using standard temporal filtering techniques that result in significant improvements in hemodynamic response estimation. Hum Brain Mapp, 2012.

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Hsiao-Wen Chung

National Taiwan University

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Fa-Hsuan Lin

National Taiwan University

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Teng-Yi Huang

National Taiwan University of Science and Technology

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Shin Lei Peng

University of Texas Southwestern Medical Center

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Tzu-Chao Chuang

National Sun Yat-sen University

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Hsu-Hsia Peng

National Tsing Hua University

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Cheng Yu Chen

National Defense Medical Center

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