Baltimore, MD, United States of America

Evan Schwab


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Evan Schwab

Introduction

Evan Schwab is a notable inventor based in Baltimore, MD (US). He has made significant contributions to the field of medical imaging, particularly in the area of tractography applications. His work focuses on enhancing the recovery of fiber orientations, which is crucial for understanding complex neural pathways.

Latest Patents

Evan Schwab holds a patent for a method titled "Sparse recovery of fiber orientations using multidimensional Prony method." This computer-implemented method involves performing magnetic resonance imaging to acquire a plurality of sparse signal measurements using a q-space sampling scheme. The method enforces a lattice structure with a predetermined number of collinear samples. For each voxel in the sparse signal measurements, a computer system performs a parameter estimation process. This includes translating a portion of the sparse signal measurements into Sparse Approximate Prony Method (SAPM) input parameters and applying a SAPM process to recover fiber populations, orientation vectors, and amplitude scalars. The final step involves generating tractograms using the recovered data.

Career Highlights

Evan Schwab is currently employed at Siemens Healthcare GmbH, where he continues to innovate in the field of medical imaging. His work has the potential to significantly improve the accuracy and efficiency of tractography, which is essential for various medical applications.

Collaborations

Evan has collaborated with notable colleagues such as Hasan Ertan Cetingul and Boris Mailhe. Their combined expertise contributes to the advancement of technologies in medical imaging and related fields.

Conclusion

Evan Schwab's innovative work in the field of medical imaging exemplifies the impact of technology on healthcare. His contributions, particularly in fiber orientation recovery, are paving the way for advancements in tractography applications.

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