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Bicycle Ergometer

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Silvio Pflugi – One of the best experts on this subject based on the ideXlab platform.

  • accelerated cardiac mr stress perfusion with radial sampling after physical exercise with an mr compatible supine Bicycle Ergometer
    Magnetic Resonance in Medicine, 2015
    Co-Authors: Silvio Pflugi, Sebastie Roujol, Mehme Akcakaya, Keigo Kawaji, Murilo Foppa, Obby Heydari, Eth Goddu, Kraig V Kissinge, Sophie Erg

    Abstract:

    Purpose

    To evaluate the feasibility of accelerated cardiac MR (CMR) perfusion with radial sampling using nonlinear image reconstruction after exercise on an MR-compatible supine bike Ergometer.

    Methods

    Eight healthy subjects were scanned on two separate days using radial and Cartesian CMR perfusion sequences in rest and exercise stress perfusion. Four different methods (standard gridding, conjugate gradient SENSE [CG-SENSE], nonlinear inversion with joint estimation of coil-sensitivity profiles [NLINV] and compressed sensing with a total variation constraint [TV]) were compared for the reconstruction of radial data. Cartesian data were reconstructed using SENSE. All images were assessed by two blinded readers in terms of image quality and diagnostic value.

    Results

    CG-SENSE and NLINV were scored more favorably than TV (in both rest and stress perfusion cases, P   0.05).

    Conclusion

    We have demonstrated the feasibility of accelerated CMR perfusion using radial sampling after physical exercise using a supine Bicycle Ergometer in healthy subjects. For reconstruction of undersampled radial perfusion, CG-SENSE and NLINV resulted in better image quality than standard gridding or TV reconstruction. Further technical improvements and clinical assessment are needed before using this approach in patients with suspected coronary artery disease. Magn Reson Med 74:384–395, 2015. © 2014 Wiley Periodicals, Inc.

Sophie Erg – One of the best experts on this subject based on the ideXlab platform.

  • accelerated cardiac mr stress perfusion with radial sampling after physical exercise with an mr compatible supine Bicycle Ergometer
    Magnetic Resonance in Medicine, 2015
    Co-Authors: Silvio Pflugi, Sebastie Roujol, Mehme Akcakaya, Keigo Kawaji, Murilo Foppa, Obby Heydari, Eth Goddu, Kraig V Kissinge, Sophie Erg

    Abstract:

    Purpose

    To evaluate the feasibility of accelerated cardiac MR (CMR) perfusion with radial sampling using nonlinear image reconstruction after exercise on an MR-compatible supine bike Ergometer.

    Methods

    Eight healthy subjects were scanned on two separate days using radial and Cartesian CMR perfusion sequences in rest and exercise stress perfusion. Four different methods (standard gridding, conjugate gradient SENSE [CG-SENSE], nonlinear inversion with joint estimation of coil-sensitivity profiles [NLINV] and compressed sensing with a total variation constraint [TV]) were compared for the reconstruction of radial data. Cartesian data were reconstructed using SENSE. All images were assessed by two blinded readers in terms of image quality and diagnostic value.

    Results

    CG-SENSE and NLINV were scored more favorably than TV (in both rest and stress perfusion cases, P   0.05).

    Conclusion

    We have demonstrated the feasibility of accelerated CMR perfusion using radial sampling after physical exercise using a supine Bicycle Ergometer in healthy subjects. For reconstruction of undersampled radial perfusion, CG-SENSE and NLINV resulted in better image quality than standard gridding or TV reconstruction. Further technical improvements and clinical assessment are needed before using this approach in patients with suspected coronary artery disease. Magn Reson Med 74:384–395, 2015. © 2014 Wiley Periodicals, Inc.

Izumi Tabata – One of the best experts on this subject based on the ideXlab platform.

  • prediction of vo2max with daily step counts for japanese adult women
    European Journal of Applied Physiology, 2009
    Co-Authors: Nobuyuki Miyatake, Mitsuru Higuchi, Kazuko Ishikawatakata, Motohiko Miyachi, Izumi Tabata

    Abstract:

    The purpose of the study was to develop a new non-exercise VO2max prediction model using a physical activity (PA) variable determined by pedometer-determined step counts (SC, steps day−1) in Japanese women aged 20–69 years old. Eighty-seven and 102 subjects were used to develop the prediction model, and to validate the new model, respectively. VO2max was measured using a maximal incremental test on a Bicycle Ergometer. SC was significantly related to VO2max (partial correlation coefficient r = 0.40, P < 0.001) after adjusting for BMI (kg m−2) and age (years). When the new prediction equation developed by multiple regression to estimate VO2max from age, BMI, and SC (R = 0.71, SEE = 5.3 ml kg−1 min−1, P < 0.001) was applied to the Validation group, predicted VO2max correlated well with measured VO2max (r = 0.81, P < 0.001), suggesting that SC is a useful PA variable for non-exercise prediction of VO2max in Japanese women.