Qi Song

Title: The Innovative Contributions of Qi Song

Introduction

Qi Song is a notable inventor based in Niskayuna, NY (US). She has made significant contributions to the field of image processing, holding a total of 2 patents. Her work focuses on enhancing the accuracy and efficiency of anatomical estimations and object inspections through advanced methodologies.

Latest Patents

One of Qi Song's latest patents is titled "Automatic estimation of anatomical extents." This patent introduces a hierarchical multi-object active appearance model (AAM) framework designed for processing image data, such as localizer or scout image data. The approach utilizes a hierarchical arrangement of models, including a model pyramid, where a global or parent model encodes relationships across multiple co-located structures to achieve an initial, coarse fit. Subsequent processing by child sub-models adds more detail and flexibility to the overall fit.

Another significant patent is focused on "Methods and systems for processing images for inspection of an object." This patent outlines methods that include obtaining a plurality of images corresponding to at least one area of an object and performing rectification of these images using a reference structure. Additionally, the method involves conducting a gradient vector field analysis on the rectified images to identify anomaly regions within the object.

Career Highlights

Qi Song is currently employed at General Electric Company, where she applies her expertise in image processing to develop innovative solutions. Her work has contributed to advancements in various applications, enhancing the capabilities of imaging technologies.

Collaborations

Qi has collaborated with several talented individuals, including Glen William Brooksby and Paulo Ricardo Dos Santos Mendonca. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

In summary, Qi Song is a pioneering inventor whose work in image processing has led to significant advancements in anatomical estimation and object inspection. Her contributions continue to influence the field and inspire future innovations.