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of 35
pro vyhledávání: '"Johnson, Ethan M. I."'
Autor:
Khani, Mahmoud E., Johnson, Ethan M. I., Sodhi, Aparna, Robinson, Joshua, Rigsby, Cynthia K., Allen, Bradly D., Markl, Michael
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtained using 4D flow MRI using wearable seismocardiography (SCG) devices. 4D flow MRI provides a comprehensive assessment of cardiovascular hemodynamics,
Externí odkaz:
http://arxiv.org/abs/2301.02130
Autor:
Zhao, Tom Y., Johnson, Ethan M. I., Elisha, Guy, Halder, Sourav, Smith, Ben C., Allen, Bradley D., Markl, Michael, Patankar, Neelesh A.
Publikováno v:
Nat. Biomed. Eng 7, 1614-1626 (2023)
The basic mechanism driving aneurysm growth is unknown. Currently, clinical diagnosis of an aneurysm is mainly informed by retrospective tracking of its size and growth rate. However, aneurysms can rupture before reactive criteria are met or remain s
Externí odkaz:
http://arxiv.org/abs/2111.10030
Autor:
Dwork, Nicholas, O'Connor, Daniel, Johnson, Ethan M. I., Baron, Corey A., Gordon, Jeremy W., Pauly, John M., Larson, Peder E. Z.
The Gridding algorithm has shown great utility for reconstructing images from non-uniformly spaced samples in the Fourier domain in several imaging modalities. Due to the non-uniform spacing, some correction for the variable density of the samples mu
Externí odkaz:
http://arxiv.org/abs/2106.06660
Autor:
Dwork, Nicholas, Kerr, Adam B., Johnson, Ethan M. I., Baron, Corey A., Vasanawala, Shreyas S., Larson, Peder E. Z., Bush, Adam M., Pauly, John
We propose multiMap, a single scan that can generate several quantitative maps simultaneously. The sequence acquires multiple images in a time-efficient manner, which can be modeled for T_2, T2*, main- and transmit-field inhomogeneity, T_1:equilibriu
Externí odkaz:
http://arxiv.org/abs/2007.15495
Autor:
Dwork, Nicholas, Johnson, Ethan M. I., O'Connor, Daniel, Gordon, Jeremy W., Kerr, Adam B., Baron, Corey A., Pauly, John M., Larson, Peder E. Z.
With the advent of multi-coil imaging and compressed sensing, a number of model based reconstruction algorithms have been created. They incorporate a multitude of different regularization functions based on physics, observed phenomenology, and heuris
Externí odkaz:
http://arxiv.org/abs/2007.00165
Autor:
Dwork, Nicholas, Baron, Corey A., Johnson, Ethan M. I., O'Connor, Daniel, Pauly, John M., Larson, Peder E. Z.
Publikováno v:
Magnetic Resonance Imaging 77 (2021): 186-193
We present a fast method for generating random samples according to a variable density Poisson-disc distribution. A minimum threshold distance is used to create a background grid array for keeping track of those points that might affect any new candi
Externí odkaz:
http://arxiv.org/abs/2004.06789
Autor:
Dwork, Nicholas, O'Connor, Daniel, Baron, Corey A., Johnson, Ethan M. I., Kerr, Adam B., Pauly, John M., Larson, Peder E. Z.
Publikováno v:
Signal, Image and Video Processing (2021): 1-8
Compressed sensing has empowered quality image reconstruction with fewer data samples than previously though possible. These techniques rely on a sparsifying linear transformation. The Daubechies wavelet transform is a common sparsifying transformati
Externí odkaz:
http://arxiv.org/abs/2002.04150
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