Toronto, Canada

Jimmy Qiu


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Innovations by Inventor Jimmy Qiu

Introduction

Jimmy Qiu is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of imaging technology, particularly in the visualization of 3D parametric data. His innovative approach has the potential to enhance the way we interpret and analyze complex data sets.

Latest Patents

Jimmy Qiu holds a patent for "Methods and systems for visualization of 3D parametric data during 2D imaging." This patent describes methods and systems that allow for the visualization of 3D parametric data in a 2D image. The technology involves a set of 3D parametric data that includes multiple voxels in 3D space, each associated with at least one parametric value. The 2D image data contains information about the camera's known position and orientation when the image was captured. A graphical representation is generated to illustrate the parametric values of the voxels corresponding to a viewing surface in 3D space. This innovation allows for a virtual 2D view of the surface to be determined, enabling the 2D image to be displayed in conjunction with the graphical representation of the parametric values.

Career Highlights

Jimmy Qiu is affiliated with the University Health Network, where he applies his expertise in imaging technology. His work focuses on improving the visualization techniques used in medical imaging, which can lead to better diagnostic capabilities and treatment planning.

Collaborations

Some of his notable coworkers include Robert Weersink and David Anthony Jaffray. Their collaborative efforts contribute to advancements in the field of medical imaging and data visualization.

Conclusion

Jimmy Qiu's innovative work in the visualization of 3D parametric data represents a significant advancement in imaging technology. His contributions have the potential to greatly impact the medical field and enhance the understanding of complex data.

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