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Dive into the research topics where Amran K. Asadi is active.

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Featured researches published by Amran K. Asadi.


Journal of Applied Physiology | 2014

Validating the distribution of specific ventilation in healthy humans measured using proton MR imaging

Rui Carlos Sá; Amran K. Asadi; Rebecca J. Theilmann; Susan R. Hopkins; G. Kim Prisk; Chantal Darquenne

Specific ventilation imaging (SVI) uses proton MRI to quantitatively map the distribution of specific ventilation (SV) in the human lung, using inhaled oxygen as a contrast agent. To validate this recent technique, we compared the quantitative measures of heterogeneity of the SV distribution in a 15-mm sagittal slice of lung obtained in 10 healthy supine subjects, (age 37 ± 10 yr, forced expiratory volume in 1 s 97 ± 7% predicted) using SVI to those obtained in the whole lung from multiple-breath nitrogen washout (MBW). Using the analysis of Lewis et al. (Lewis SM, Evans JW, Jalowayski AA. J App Physiol 44: 416-423, 1978), the most likely distribution of SV from the MBW data was computed and compared with the distribution of SV obtained from SVI, after normalizing for the difference in tidal volume. The average SV was 0.30 ± 0.10 MBW, compared with 0.36 ± 0.10 SVI (P = 0.01). The width of the distribution, a measure of the heterogeneity, obtained using both methods was comparable: 0.51 ± 0.06 and 0.47 ± 0.08 in MBW and SVI, respectively (P = 0.15). The MBW estimated width of the SV distribution was 0.05 (10.7%) higher than that estimated using SVI, and smaller than the intertest variability of the MBW estimation [inter-MBW (SD) for the width of the SV distribution was 0.08 (15.8)%]. To assess reliability, SVI was performed twice on 13 subjects showing small differences between measurements of SV heterogeneity (typical error 0.05, 12%). In conclusion, quantitative estimations of SV heterogeneity from SVI are reliable and similar to those obtained using MBW, with SVI providing spatial information that is absent in MBW.


Journal of Applied Physiology | 2015

Inhaled nitric oxide alters the distribution of blood flow in the healthy human lung, suggesting active hypoxic pulmonary vasoconstriction in normoxia

Amran K. Asadi; Rui Carlos Sá; Nick H. Kim; Rebecca J. Theilmann; Susan R. Hopkins; Richard B. Buxton; G. Kim Prisk

Hypoxic pulmonary vasoconstriction (HPV) is thought to actively regulate ventilation-perfusion (V̇a/Q̇) matching, reducing perfusion in regions of alveolar hypoxia. We assessed the extent of HPV in the healthy human lung using inhaled nitric oxide (iNO) under inspired oxygen fractions (FiO2 ) of 0.125, 0.21, and 0.30 (a hyperoxic stimulus designed to abolish HPV without the development of atelectasis). Dynamic measures of blood flow were made in a single sagittal slice of the right lung of five healthy male subjects using an arterial spin labeling (ASL) MRI sequence, following a block stimulus pattern (3 × 60 breaths) with 40 ppm iNO administered in the central block. The overall spatial heterogeneity, spatiotemporal variability, and regional pattern of pulmonary blood flow was quantified as a function of condition (FiO2 × iNO state). While spatial heterogeneity did not change significantly with iNO administration or FiO2 , there were statistically significant increases in Global Fluctuation Dispersion, (a marker of spatiotemporal flow variability) when iNO was administered during hypoxia (5.4 percentage point increase, P = 0.003). iNO had an effect on regional blood flow that was FiO2 dependent (P = 0.02), with regional changes in the pattern of blood flow occurring in hypoxia (P = 0.007) and normoxia (P = 0.008) tending to increase flow to dependent lung at the expense of nondependent lung. These findings indicate that inhaled nitric oxide significantly alters the distribution of blood flow in both hypoxic and normoxic healthy subjects, and suggests that some baseline HPV may indeed be present in the normoxic lung.


Journal of Applied Physiology | 2013

Spatial-temporal dynamics of pulmonary blood flow in the healthy human lung in response to altered FiO2

Amran K. Asadi; Matthew V. Cronin; Rui Carlos Sá; Rebecca J. Theilmann; Sebastiaan Holverda; Susan R. Hopkins; Richard B. Buxton; G. Kim Prisk

The temporal dynamics of blood flow in the human lung have been largely unexplored due to the lack of appropriate technology. Using the magnetic resonance imaging method of arterial spin labeling (ASL) with subject-gated breathing, we produced a dynamic series of flow-weighted images in a single sagittal slice of the right lung with a spatial resolution of ~1 cm(3) and a temporal resolution of ~10 s. The mean flow pattern determined from a set of reference images was removed to produce a time series of blood flow fluctuations. The fluctuation dispersion (FD), defined as the spatial standard deviation of each flow fluctuation map, was used to quantify the changes in distribution of flow in six healthy subjects in response to 100 breaths of hypoxia (FI(O(2)) = 0.125) or hyperoxia (FI(O(2)) = 1.0). Two reference frames were used in calculation, one determined from the initial set of images (FD(global)), and one determined from the mean of each corresponding baseline or challenge period (FD(local)). FD(local) thus represented changes in temporal variability as a result of intervention, whereas FD(global) encompasses both FD(local) and any generalized redistribution of flow associated with switching between two steady-state patterns. Hypoxic challenge resulted in a significant increase (96%, P < 0.001) in FD(global) from the normoxic control period and in FD(local) (46%, P = 0.0048), but there was no corresponding increase in spatial relative dispersion (spatial standard deviation of the images divided by the mean; 8%, not significant). There was a smaller increase in FD(global) in response to hyperoxia (47%, P = 0.0015) for the single slice, suggestive of a more general response of the pulmonary circulation to a change from normoxia to hyperoxia. These results clearly demonstrate a temporal change in the sampled distribution of pulmonary blood flow in response to hypoxia, which is not observed when considering only the relative dispersion of the spatial distribution.


NMR in Biomedicine | 2015

A statistical clustering approach to discriminating perfusion from conduit vessel signal contributions in a pulmonary ASL MR image

Shane C. Walker; Amran K. Asadi; Susan R. Hopkins; Richard B. Buxton; G. K. Prisk

The measurement of pulmonary perfusion (blood delivered to the capillary bed within a voxel) using arterial spin labeling (ASL) magnetic resonance imaging is often complicated by signal artifacts from conduit vessels that carry blood destined for voxels at a distant location in the lung. One approach to dealing with conduit vessel contributions involves the application of an absolute threshold on the ASL signal. While useful for identifying a subset of the most dominant high signal conduit image features, signal thresholding cannot discriminate between perfusion and conduit vessel contributions at intermediate and low signal. As an alternative, this article discusses a data‐driven statistical approach based on statistical clustering for characterizing and discriminating between capillary perfusion and conduit vessel contributions over the full signal spectrum. An ASL flow image is constructed from the difference between a pair of tagged magnetic resonance images. However, when viewed as a bivariate projection that treats the image pair as independent measures (rather than the univariate quantity that results from the subtraction of the two images), the signal associated with capillary perfusion contributions is observed to cluster independently of the signal associated with conduit vessel contributions. Analyzing the observed clusters using a Gaussian mixture model makes it possible to discriminate between conduit vessel and capillary‐perfusion‐dominated signal contributions over the full signal spectrum of the ASL image. As a demonstration of feasibility, this study compares the proposed clustering approach with the standard absolute signal threshold strategy in a small number of test images. Copyright


Journal of Applied Physiology | 2017

Susceptibility to high-altitude pulmonary edema is associated with a more uniform distribution of regional specific ventilation

Michael D. Patz; Rui Carlos Sá; Chantal Darquenne; A. R. Elliott; Amran K. Asadi; Rebecca J. Theilmann; David J. Dubowitz; Erik R. Swenson; G. Kim Prisk; Susan R. Hopkins

High-altitude pulmonary edema (HAPE) is a potentially fatal condition affecting high-altitude sojourners. The biggest predictor of HAPE development is a history of prior HAPE. Magnetic resonance imaging (MRI) shows that HAPE-susceptible (with a history of HAPE), but not HAPE-resistant (with a history of repeated ascents without illness) individuals develop greater heterogeneity of regional pulmonary perfusion breathing hypoxic gas (O2 = 12.5%), consistent with uneven hypoxic pulmonary vasoconstriction (HPV). Why HPV is uneven in HAPE-susceptible individuals is unknown but may arise from regionally heterogeneous ventilation resulting in an uneven stimulus to HPV. We tested the hypothesis that ventilation is more heterogeneous in HAPE-susceptible subjects (n = 6) compared with HAPE-resistant controls (n = 7). MRI specific ventilation imaging (SVI) was used to measure regional specific ventilation and the relative dispersion (SD/mean) of SVI used to quantify baseline heterogeneity. Ventilation heterogeneity from conductive and respiratory airways was measured in normoxia and hypoxia (O2 = 12.5%) using multiple-breath washout and heterogeneity quantified from the indexes Scond and Sacin, respectively. Contrary to our hypothesis, HAPE-susceptible subjects had significantly lower relative dispersion of specific ventilation than the HAPE-resistant controls [susceptible = 1.33 ± 0.67 (SD), resistant = 2.36 ± 0.98, P = 0.05], and Sacin tended to be more uniform (susceptible = 0.085 ± 0.009, resistant = 0.113 ± 0.030, P = 0.07). Scond was not significantly different between groups (susceptible = 0.019 ± 0.007, resistant = 0.020 ± 0.004, P = 0.67). Sacin and Scond did not change significantly in hypoxia (P = 0.56 and 0.19, respectively). In conclusion, ventilation heterogeneity does not change with short-term hypoxia irrespective of HAPE susceptibility, and lesser rather than greater ventilation heterogeneity is observed in HAPE-susceptible subjects. This suggests that the basis for uneven HPV in HAPE involves vascular phenomena.NEW & NOTEWORTHY Uneven hypoxic pulmonary vasoconstriction (HPV) is thought to incite high-altitude pulmonary edema (HAPE). We evaluated whether greater heterogeneity of ventilation is also a feature of HAPE-susceptible subjects compared with HAPE-resistant subjects. Contrary to our hypothesis, ventilation heterogeneity was less in HAPE-susceptible subjects and unaffected by hypoxia, suggesting a vascular basis for uneven HPV.


Archive | 2016

Deforminator - A Matlab toolbox for image registration of lung MRI images

Tatsuya J. Arai; Rui Carlos Sá; Amran K. Asadi


Archive | 2015

modelblood flow using a detailed network flow Assessing potential errors of MRI-based measurements

Kelly Burrowes; Richard B. Buxton; G. K. Prisk; R. Hopkins; R. C. Sá; Sebastiaan Holverda; T. J. Arai; David J. Dubowitz; Rebecca J. Theilmann; G. Kim Prisk; Amran K. Asadi; Rui Carlos Sá; Nick H. Kim; Susan R. Hopkins


Archive | 2015

suggesting active hypoxic pulmonary vasoconstriction in normoxia Inhaled nitric oxide alters the distribution of blood flow in the healthy human lung

Rohit Moudgil; Evangelos D. Michelakis; Stephen L. Archer; Balkrishen Bhat; Aaron B. Waxman; B. Nelson Chau; Wolfgang M. Kuebler; Katherine A. Cottrill; Adrienn Krauszman; Yu Lu; Sofia Annis; Andrew Hale; Richard B. Buxton; G. Kim Prisk; Amran K. Asadi; Rui Carlos Sá; Nick H. Kim; Rebecca J. Theilmann; Susan R. Hopkins


Archive | 2015

normoxia in normal supine humans contribute to pulmonary blood flow heterogeneity in Hypoxic pulmonary vasoconstriction does not

Susan R. Hopkins; T. J. Arai; A. C. Henderson; David J. Dubowitz; David L. Levin; Paul J. Friedman; Johan Petersson; Robb W. Glenny; Richard B. Buxton; G. Kim Prisk; Amran K. Asadi; Rui Carlos Sá; Nick H. Kim; Rebecca J. Theilmann


Archive | 2015

healthy humans measured using proton MR imaging Validating the distribution of specific ventilation in

Chantal Darquenne; Amran K. Asadi; Rebecca J. Theilmann; Susan R. Hopkins; G. Kim

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G. Kim Prisk

University of California

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Rui Carlos Sá

University of California

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Nick H. Kim

University of California

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G. K. Prisk

University of California

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