Introduction: The Research Legacy of Mahender Makhijani
Mahender Makhijani has made significant contributions as a distinguished researcher in the field of magnetic resonance imaging. Connected to the University of Southern California and other renowned institutions, Mahender Makhijani has published groundbreaking research that has advanced the field of vessel wall imaging.
Major Research Contributions by Mahender Makhijani
Advanced 3D MERGE Carotid Imaging Technology
One of the most significant works by Mahender Makhijani involves enhanced 3D MERGE carotid imaging using compressed sensing with a Hidden Markov Tree model. This work, published in the renowned Journal of Magnetic Resonance Imaging in November 2012, has garnered significant attention with 107 reads and 24 citations.
Mahender Makhijani and his colleagues showed that HMT model-based compressed sensing can potentially accelerate clinical carotid MRI by a factor of 4.5 without impacting diagnostic quality. This innovation represents a substantial step forward in MRI technology.
Advanced Blood Suppression Techniques
Another notable contribution by Mahender Makhijani focuses on better blood suppression in three-dimensional fast spin-echo vessel wall imaging. This research, published in February 2010, has received 104 reads and 14 citations, showing its importance in the scientific community.
Mahender Makhijani developed a hybrid preparation method using DIR and diffusion sensitizing gradients to provide superior blood suppression and lumen-wall contrast-to-noise ratio efficiency.
Rapid 3D Vessel Wall Imaging Optimization
Mahender Makhijani's research in rapid 3D vessel wall imaging at 3 Tesla has provided significant insights into enhancement and evaluation of diffusion preparation techniques. This work, published in the Journal of Cardiovascular Magnetic Resonance in October 2008, has received 65 reads, showcasing its importance to the medical imaging community.
Exact Off-Resonance Correction Methods
Mahender Makhijani has also made valuable contributions to off-resonance correction in spiral MRI. His work on exact correction of sharply varying off-resonance effects, presented in January 2006, has garnered 212 reads and 7 citations, indicating its ongoing impact in the field.
Academic Collaborations and Affiliations
Mahender Makhijani has worked with many distinguished researchers throughout his career. His research partners include:
Krishna S. Nayak
Niranjan Balu
Kiyofumi Yamada from the University of Washington
Houchun Harry Hu from the University of Colorado
Gerald M Pohost
These partnerships have led in significant publications in respected journals such as the Journal of Magnetic Resonance Imaging and the Journal of Cardiovascular Magnetic Resonance.
Impact and Citations
The work of Mahender Makhijani has generated a total of 45 citations, showing the significant impact of his work on the scientific community. His publications continue to be cited by academics worldwide, providing to the development of medical imaging technology.
Present Relevance
The advancements developed by Mahender Makhijani remain extremely relevant in today's medical imaging landscape. His work on enhanced MRI techniques and sophisticated blood suppression methods continues to influence current research and clinical applications.
Future Applications
The approaches pioneered by Mahender Makhijani have created new avenues for:
Better cardiovascular imaging
Quicker diagnostic procedures
Decreased patient scan times
Enhanced image quality and diagnostic accuracy
Conclusion
Mahender Makhijani has established a distinguished legacy in the field of medical imaging research. His research to accelerated MRI techniques, better blood suppression methods, and exact off-resonance correction have significantly enhanced the field.
As Mahender Makhijani's research continues to be cited and developed by the scientific community, his impact on medical imaging technology remains substantial. The innovations pioneered by Mahender Makhijani will certainly continue to help patients and medical professionals for years to come.
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