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Dive into the research topics where Vu M. Mai is active.

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Featured researches published by Vu M. Mai.


Biophysical Journal | 2001

Quantitative analysis of three-dimensional-resolved fiber architecture in heterogeneous skeletal muscle tissue using nmr and optical imaging methods.

Vitaly Napadow; Qun Chen; Vu M. Mai; Peter T. C. So; Richard J. Gilbert

The determination of principal fiber directions in structurally heterogeneous biological tissue substantially contributes to an understanding of its mechanical function in vivo. In this study we have depicted structural heterogeneity through the model of the mammalian tongue, a tissue comprised of a network of highly interwoven fibers responsible for producing numerous variations of shape and position. In order to characterize the three-dimensional-resolved microscopic myoarchitecture of the intrinsic musculature of the tongue, we viewed its fiber orientation at microscopic and macroscopic length scales using NMR (diffusion tensor MRI) and optical (two-photon microscopy) imaging methods. Diffusion tensor imaging (DTI) of the excised core region of the porcine tongue resulted in an array of 3D diffusion tensors, in which the leading eigenvector corresponded to the principal fiber orientation at each location in the tissue. Excised axially oriented lingual core tissues (fresh or paraffin-embedded) were also imaged with a mode-locked Ti-Sapphire laser, (76 MHz repetition rate, 150 femtosecond pulse width), allowing for the visualization of individual myofibers at in situ orientation. Fiber orientation was assessed by computing the 3D autocorrelation of discrete image volumes, and deriving the minimal eigenvector of the center voxel Hessian matrix. DTI of the fibers, comprising the intrinsic core of the tongue, demonstrated directional heterogeneity, with two distinct populations of fibers oriented orthogonal to each other and in-plane to the axial perspective. Microscopic analysis defined this structural heterogeneity as discrete regions of in-plane parallel fibers, with an angular separation of ~80 degrees, thereby recapitulating the macroscopic angular relationship. This analysis, conceived at two different length scales, demonstrates that the lingual core is a spatially complex tissue, composed of repeating orthogonally oriented and in-plane fiber patches, which are capable of jointly producing hydrostatic elongation and displacement.


Journal of Magnetic Resonance Imaging | 2001

Determination of regional pulmonary parenchymal strain during normal respiration using spin inversion tagged magnetization MRI

Vitaly Napadow; Vu M. Mai; Alexander A. Bankier; Richard J. Gilbert; Robert R. Edelman; Qun Chen

In clinical practice, the assessment of lung mechanics is limited to a global physiological evaluation, which measures, in the aggregate, the contributions of the pulmonary parenchyma, pleura, and chest wall. In this study, we used an MR imaging methodology which applies two‐dimensional bands of inverted magnetization directly onto the pulmonary parenchyma, thus allowing for the quantification of local pulmonary tissue deformation, or strain, throughout inhalation. Our results showed that the magnitude of strain was maximal at the base and apex of the lung, but was curtailed at the hilum, the anatomical site of the poorly mobile bronchial and vascular insertions. In‐plane shear strain mapping showed mostly positive shear strain, predominant at the apex throughout inhalation, and increasing with expanding lung volume. Anisotropy mapping showed that superior‐inferior axial strain was greater than medial‐lateral axial strain at the apex and base, while the opposite was true for the middle lung field. This study demonstrates that localized pulmonary deformation can be measured in vivo with tagging MRI, and quantified by applying finite strain definitions from continuum mechanics. J. Magn. Reson. Imaging 2001;13:467–474.


Journal of Magnetic Resonance Imaging | 2002

MR assessment of left ventricular function: Quantitative comparison of fast imaging employing steady-state acquisition (FIESTA) with fast gradient echo cine technique

Wei Li; Jessica S. Stern; Vu M. Mai; Linda Pierchala; Robert R. Edelman; Pottumarthi V. Prasad

To evaluate the agreement of fast imaging employing steady‐state acquisition (FIESTA) cine technique with segmented k‐space fast gradient echo (GRE) cine technique when using them for assessment of cardiac function.


Journal of Magnetic Resonance Imaging | 2001

MR ventilation‐perfusion imaging of human lung using oxygen‐enhanced and arterial spin labeling techniques

Vu M. Mai; Alexander A. Bankier; Pottumarthi V. Prasad; Wei Li; Pippa Storey; Robert R. Edelman; Qun Chen

Magnetic resonance ventilation‐perfusion (V/Q) imaging has been demonstrated using oxygen and arterial spin labeling techniques. Inhaled oxygen is used as a paramagnetic contrast agent in ventilation imaging using a multiple inversion recovery (MIR) approach. Pulmonary perfusion imaging is conducted using a flow‐sensitive alternating inversion recovery with an extra radiofrequency pulse (FAIRER) technique. A half Fourier single‐short turbo spin echo (HASTE) sequence is used for data acquisition in both techniques. V/Q imaging was performed in ten of the twenty volunteers, while either ventilation or perfusion was imaged in the other ten. This V/Q imaging scheme is completely noninvasive, does not involve ionized radiation, and shows promising potential for clinical use in the diagnosis of lung diseases such as pulmonary embolism. J. Magn. Reson. Imaging 2001;14:574–579.


Magnetic Resonance in Medicine | 2000

Multiple inversion recovery MR subtraction imaging of human ventilation from inhalation of room air and pure oxygen.

Vu M. Mai; Qun Chen; Alexander A. Bankier; Robert R. Edelman

The feasibility of MR subtraction imaging of lung ventilation using air against oxygen using a multiple inversion recovery half‐Fourier single‐shot turbo spin echo (MIR‐HASTE) sequence was investigated. Eight healthy, nonsmoking volunteers (3 males, 5 females; from 27 to 48 years of age) were studied on a 1.5 T MR unit. The ventilation image was obtained from the subtraction of the images acquired with the subject inhaling room air and 100% oxygen. By suppressing the signal from subcutaneous fat and thoracic muscle, MIR‐HASTE improved the subtraction of signal arising from background tissues. Lung parenchyma, pulmonary veins, descending aorta, spleen, and kidney showed high signal difference, but pulmonary arteries exhibited minimal signal difference. Because of minimal signal change in the pulmonary arteries after inhalation of 100% oxygen, the average signal decreases in the left and right lungs including hilus and periphery amounted to only 19.4 ± 4.5 and 20.2 ± 3.4%, respectively, compared with regional averages of 23.6 ± 5.4 and 24.1 ± 3.1% for both lung peripheries alone. Magn Reson Med 43:913–916, 2000.


Journal of Magnetic Resonance Imaging | 2004

Myocardial delayed enhancement imaging using inversion recovery single-shot steady-state free precession: Initial experience†

Wei Li; Belinda S.Y. Li; Jason A. Polzin; Vu M. Mai; Pottumarthi V. Prasad; Robert R. Edelman

To evaluate the feasibility of using an inversion recovery single‐shot steady‐state free precession (SS_SSFP) sequence for myocardial delayed enhancement (MDE) imaging, and to compare SS_SSFP with the conventional inversion recovery segmented fast gradient echo (IR_FGRE) technique.


Magnetic Resonance in Medicine | 2001

Ultrafast MR Grid-Tagging Sequence for Assessment of Local Mechanical Properties of the Lungs

Qun Chen; Vu M. Mai; Alexander A. Bankier; Vitaly Napadow; Richard J. Gilbert; Robert R. Edelman

While MR imaging with tagged magnetization has shown great utility in the study of muscle mechanics, the evaluation of pulmonary mechanics has long been hindered by the technical difficulties in MR imaging of lung parenchyma. In this study, a fast MR grid‐tagging technique is described for dynamic assessment of regional pulmonary deformation. The method is based on a fast FLASH sequence with short TR and short TE. Tagging was achieved by using double DANTE pulse train or inversion pulses. Our results show that this technique is able to detect changes of the tagging grid caused by physiological deformation of the lung. Quantitative analysis of the data shows that this method is capable of assessing local pulmonary mechanics. The application of this technique could improve our understanding of ventilatory control, and thus provide a unique metric for assessing pulmonary disorders. Magn Reson Med 45:24–28, 2001.


Journal of Magnetic Resonance Imaging | 2004

Impact of lung volume on MR signal intensity changes of the lung parenchyma

Alexander A. Bankier; Carl R. O'Donnell; Vu M. Mai; Pippa Storey; Viviane De Maertelaer; Robert R. Edelman; Qun Chen

To test the hypothesis that, in magnetic resonance (MR) imaging of healthy individuals, equal relative changes in lung volume cause equal relative changes in MR signal intensity of the lung parenchyma.


Magnetic Resonance Imaging | 2003

Molality as a unit of measure for expressing 1H MRS brain metabolite concentrations in vivo

Jack Knight-Scott; Andreana P. Haley; Sarah R. Rossmiller; Elana Farace; Vu M. Mai; John M Christopher; Carol A. Manning; Virginia I. Simnad; Helmy M. Siragy

Absolute concentrations of cerebral metabolite in in vivo 1H magnetic resonance spectroscopy studies (1H-MRS) are widely reported in molar units as moles per liter of tissue, or in molal units as moles per kilogram of tissue. Such measurements require external referencing or assumptions as to local water content. To reduce the scan time, avoid assumptions that may be invalid under specific pathologies, and provide a universally accessible referencing procedure, we suggest that metabolite concentrations from 1H-MRS measurements in vivo be reported in molal units as moles per kilogram of tissue water. Using internal water referencing, a two-compartment water model, a simulated brain spectrum for peak identification, and a spectroscopic bi-exponential spin-spin relaxation segmentation technique, we measured the absolute concentrations for the four common 1H brain metabolites: choline (Cho), myo-inositol (mIno), phosphocreatine + creatine (Cr), and N-acetyl-aspartate (NAA), in the hippocampal region (n = 26) and along the Sylvian fissure (n = 61) of 35 healthy adults. A stimulated echo localization method (20 ms echo time, 10 ms mixing time, 4 s repetition time) yielded metabolite concentrations, uncorrected for metabolite relaxation or contributions from macromolecule resonances, that were expectantly higher than with molar literature values. Along the Sylvian fissure the average concentrations (coefficient of variation (CV)) in mmoles/kg of tissue water were 17.6 (12%) for NAA, 14.2 (9%) for Cr, 3.6 (13%) for Cho, and 13.2 (15%) for mIno. Respective values for the hippocampal region were 15.7 (20%), 14.7 (16%), 4.6 (19%), and 17.7 (26%). The concentrations of the two regions were significantly different (p </= 0.001) for NAA, mIno, and Cho, a trend in agreement with previous studies. All gray matter Sylvian fissure CV values, except for NAA, were also in agreement with previous 1H-MRS gray matter studies. The reduced precision of the NAA concentration was attributed to overlapping signal contributions from glutamate and glutamine (Glx), suggesting that a detailed Glx model is critical for accurate quantitation of the NAA 2.02 ppm resonance. The reduced precision of the measurements in the hippocampal region was attributed to poor spectral resolution.


Magnetic Resonance in Medicine | 2003

Computing oxygen-enhanced ventilation maps using correlation analysis

Vu M. Mai; Sean Tutton; Pottumarthi V. Prasad; Qun Chen; Wei Li; Chi Chen; Benjamin P. Liu; Jason A. Polzin; Saban Kurucay; Robert R. Edelman

Correlation maps of oxygen‐enhanced ventilation were obtained in nine healthy volunteers using complete and selected image series. The complete series included all images acquired with the subjects alternately inhaling room air and 100% oxygen. The selected series were the subsets of the complete series and included only co‐registered images that showed matched diaphragmatic position at maximal expiration. Cross‐correlation was computed between the time response function of each pixel and the input function representing the alternation between periods of room air and 100% oxygen inhalation. The confidence level for the correlation analysis was set to 0.01. Pulmonary parenchymal anatomy was consistently reproduced throughout the lung, even in anterior slices where published data have reported correlation problems. The overall average correlation coefficient was 0.66 ± 0.07 for the complete series and 0.75 ± 0.08 for the selected series. It was concluded that correlation analysis could be used to reconstruct qualitative oxygen‐enhanced ventilation maps. Magn Reson Med 49:591–594, 2003.

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Alexander A. Bankier

Beth Israel Deaconess Medical Center

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Wei Li

NorthShore University HealthSystem

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Pottumarthi V. Prasad

NorthShore University HealthSystem

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