Daniel B Rowe

Summary

Affiliation: Medical College of Wisconsin
Country: USA

Publications

  1. pmc Characterizing phase-only fMRI data with an angular regression model
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Neurosci Methods 161:331-41. 2007
  2. pmc MAgnitude and PHase Thresholding (MAPHT) of noisy complex-valued magnetic resonance images
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Magn Reson Imaging 27:1271-80. 2009
  3. pmc Signal and noise of Fourier reconstructed fMRI data
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA
    J Neurosci Methods 159:361-9. 2007
  4. ncbi request reprint Multivariate statistical analysis in fMRI
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee 53226, USA
    IEEE Eng Med Biol Mag 25:60-4. 2006
  5. ncbi request reprint Modeling both the magnitude and phase of complex-valued fMRI data
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226 0509, USA
    Neuroimage 25:1310-24. 2005
  6. ncbi request reprint Parameter estimation in the magnitude-only and complex-valued fMRI data models
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
    Neuroimage 25:1124-32. 2005
  7. ncbi request reprint Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Neuroimage 24:603-6. 2005
  8. ncbi request reprint A complex way to compute fMRI activation
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
    Neuroimage 23:1078-92. 2004
  9. pmc Functional magnetic resonance imaging brain activation directly from k-space
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Magn Reson Imaging 27:1370-81. 2009
  10. pmc Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST)
    Andrew D Hahn
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Neuroimage 44:742-52. 2009

Collaborators

Detail Information

Publications23

  1. pmc Characterizing phase-only fMRI data with an angular regression model
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Neurosci Methods 161:331-41. 2007
    ..This shows the possible detection of biological information in the generally discarded phase...
  2. pmc MAgnitude and PHase Thresholding (MAPHT) of noisy complex-valued magnetic resonance images
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Magn Reson Imaging 27:1271-80. 2009
    ..This method is applied to susceptibility weighted magnetic resonance images and shown to produce increased tissue contrast...
  3. pmc Signal and noise of Fourier reconstructed fMRI data
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA
    J Neurosci Methods 159:361-9. 2007
    ..This methodology could be utilized to characterize noise correlation in its original form and adjust for it. The exact statistical relationship between spatial frequency measurements and voxel measurements has now been established...
  4. ncbi request reprint Multivariate statistical analysis in fMRI
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee 53226, USA
    IEEE Eng Med Biol Mag 25:60-4. 2006
  5. ncbi request reprint Modeling both the magnitude and phase of complex-valued fMRI data
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226 0509, USA
    Neuroimage 25:1310-24. 2005
    ....
  6. ncbi request reprint Parameter estimation in the magnitude-only and complex-valued fMRI data models
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
    Neuroimage 25:1124-32. 2005
    ..Therefore, since the computational cost is relatively low for the complex data model and since the SNR is not inherently known a priori for all voxels, the complex data model is recommended at all SNRs...
  7. ncbi request reprint Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Neuroimage 24:603-6. 2005
    ..This suggests that improvements to the magnitude-only model are possible by modeling the phase in each voxel over time...
  8. ncbi request reprint A complex way to compute fMRI activation
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
    Neuroimage 23:1078-92. 2004
    ..We investigate the performance of the model on a real dataset, then compare the magnitude-only and complex models under varying signal-to-noise ratios in a simulation study with varying activation contrast effects...
  9. pmc Functional magnetic resonance imaging brain activation directly from k-space
    Daniel B Rowe
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Magn Reson Imaging 27:1370-81. 2009
    ..This allows one to utilize the originally measured data in its more natural, acquired state rather than in a transformed state. The effects of modeling preprocessing in k-space on voxel activation and correlation can then be examined...
  10. pmc Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST)
    Andrew D Hahn
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Neuroimage 44:742-52. 2009
    ..All of the necessary information is embedded in complex EPI images, and results indicate this is a robust way to improve the quality of fMRI data, especially when used with complex analysis...
  11. ncbi request reprint Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods
    Andrew S Nencka
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
    Neuroimage 37:177-88. 2007
    ..Possible draining veins in human preliminary data are discussed and analyzed with the models and the current challenges which prevent these methods from being reliably implemented are discussed...
  12. ncbi request reprint An evaluation of spatial thresholding techniques in fMRI analysis
    Brent R Logan
    Division of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
    Hum Brain Mapp 29:1379-89. 2008
    ..Finally, the methods are illustrated with a real bilateral finger-tapping fMRI experiment...
  13. pmc Enhancing the utility of complex-valued functional magnetic resonance imaging detection of neurobiological processes through postacquisition estimation and correction of dynamic B(0) errors and motion
    Andrew D Hahn
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin 53222, USA
    Hum Brain Mapp 33:288-306. 2012
    ..This analysis shows that the phase component appears to contain information complementary to that in the magnitude and that processing and analysis techniques are available to investigate it in a robust and flexible manner...
  14. pmc Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series
    Andrew D Hahn
    Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53222, USA
    Neuroimage 59:2231-40. 2012
    ..Additionally, we show that the use of all three techniques reduces phase variance substantially, removes undesirable spatial phase correlations and improves detection of the functional response in magnitude and phase...
  15. pmc A Mathematical Model for Understanding the STatistical effects of k-space (AMMUST-k) preprocessing on observed voxel measurements in fcMRI and fMRI
    Andrew S Nencka
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Neurosci Methods 181:268-82. 2009
    ..Furthermore, this framework may be utilized in the future to theoretically optimize image acquisition parameters, and examine the order of image processing steps...
  16. ncbi request reprint A statistical fMRI model for differential T2* contrast incorporating T1 and T2* of gray matter
    M Muge Karaman
    Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, USA
    Magn Reson Imaging 32:9-27. 2014
    ....
  17. pmc The SENSE-Isomorphism Theoretical Image Voxel Estimation (SENSE-ITIVE) model for reconstruction and observing statistical properties of reconstruction operators
    Iain P Bruce
    Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, USA
    Magn Reson Imaging 30:1143-66. 2012
    ..These differences in correlations could result in meaningful differences in interpretation of results...
  18. pmc COmplex-Model-Based Estimation of thermal noise for fMRI data in the presence of artifacts
    Yin Xu
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Magn Reson Imaging 25:1079-88. 2007
    ....
  19. pmc The phase shift index for marking functional asynchrony in Alzheimer's disease patients using fMRI
    Yin Xu
    Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    Magn Reson Imaging 26:379-92. 2008
    ..6+/-11.3 degrees ), followed by the MCI group (58.6+/-5.7 degrees ) and, finally, the control group (40.6+/-8.4 degrees ). These results suggest that the larger is the PSI value, the more asynchrony exists between SLF components...
  20. doi request reprint A statistical examination of SENSE image reconstruction via an isomorphism representation
    Iain P Bruce
    Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI 53201, USA
    Magn Reson Imaging 29:1267-87. 2011
    ..As such, the mathematical framework outlined in this manuscript could be further developed to provide a means of accounting for this unavoidable correlation induced by image reconstruction operators...
  21. ncbi request reprint An evaluation of thresholding techniques in fMRI analysis
    Brent R Logan
    Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226 0509, USA
    Neuroimage 22:95-108. 2004
    ..Therefore, the simple procedures described work well for thresholding most single-subject fMRI experiments and are recommended. The methods are illustrated with a real bilateral finger tapping experiment...
  22. pmc Long-term vascular access ports as a means of sedative administration in a rodent fMRI survival model
    Patrick C Hettinger
    Department of Plastic Surgery, 8700 Watertown Plank Road, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Neurosci Methods 200:106-12. 2011
    ..These vascular access ports can be applied to any survival MRI study requiring repeated medication administration, intravenous contrast, or blood sampling...
  23. pmc A statistical analysis of brain morphology using wild bootstrapping
    Hongtu Zhu
    Department of Biostatistics and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC 27599 7420, USA
    IEEE Trans Med Imaging 26:954-66. 2007
    ..We demonstrate the application of this robust test procedure to the detection of statistically significant differences in the morphology of the hippocampus over time across gender groups in a large sample of healthy subjects...