Cambridge, MA, United States of America

Lawrence L Waid


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Lawrence L. Waid: A Pioneer in Magnetic Resonance Imaging

Introduction: Lawrence L. Waid, located in Cambridge, MA, is an innovative inventor known for his contributions to the field of magnetic resonance imaging (MRI). His single patent encapsulates a significant advancement in the management of radio-frequency (RF) excitation pulses, enhancing the capabilities of MRI technology.

Latest Patents: Waid's notable patent, titled "Method for designing RF excitation pulses in magnetic resonance tomography," introduces a method to optimize RF excitation pulses using advanced algorithms. By employing a Least Squares QR (LSQR) algorithm or a Conjugate Gradient Least Squares (CGLS) algorithm, Waid's method solves the linear system of equations that arises in multi-channel RF transmit arrangements. This approach leads to better management of specific absorption rate (SAR) and other critical factors, proving more effective than the traditional singular value decomposition (SVD) algorithm.

Career Highlights: Lawrence L. Waid's professional journey is marked by his role at Siemens Aktiengesellschaft, where he has applied his expertise to revolutionize MRI technology. His commitment to improving medical imaging has established him as a significant figure in the engineering community, continuously striving for advancements that impact healthcare positively.

Collaborations: Throughout his career, Waid has collaborated with notable professionals in the field, including Adam Charles Zelinski and Elfar Adalsteinsson. These collaborations highlight the importance of teamwork in driving innovation and improving technology in magnetic resonance imaging.

Conclusion: Lawrence L. Waid's contributions to the field of MRI through his innovative patent showcase the profound impact of engineering advancements on healthcare. His methodologies not only enhance the efficacy of imaging techniques but also pave the way for future innovations in medical technology.

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