September 27 Sep 27
2022
12:00 PM - 01:00 PM
Tuesday Tue

Location

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Stanford University School of Medicine

291 Campus Dr
Stanford CA, 94305
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Event

Medical Physics Seminar - Xiuxiu He PhD

KV Image Decomposition

 

Time:
12:00pm – 1:00pm Seminar & Discussion

Location:
Zoom Webinar

Webinar Registration:
https://stanford.zoom.us/webinar/register/WN_j1zCOA3wTUaOW1k9ue6zHQ

Check your email for the Zoom webinar link after you have registered 



 

Sponsored by the Radiation Oncology, Division of Medical Physics

Speaker

Xiuxiu He PhD,

Xiuxiu is postdoc/resident at the MSK hybrid Medical Physics residency program. Together with her mentor, Dr. Tianfang Li their research focuses on deep learning in intrafraction motion management with on-treatment images.

Abstract

KV Image Decomposition

 

X-ray image quality is critical for accurate motion tracking to assure safe delivery of radiation therapy. The fundamental problem for any motion tracking method using x-ray images is the overlapping of the targe with other organs/tissues because 1) the overlap reduces the visibility of the target in x-ray images; 2) the overlapping organ/tissues may have different motion than the target and can potentially induce errors in image registration. With recent efforts and progress, I will discuss our idea of improving kV image contrast using deep learning-based decomposition.