Philadelphia, PA, United States of America

Changjian Sun


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Changjian Sun: Innovator in Quantitative Dynamic MRI Analysis

Introduction

Changjian Sun is a prominent inventor based in Philadelphia, PA. He has made significant contributions to the field of medical imaging, particularly in the analysis of respiratory anomalies. His innovative work focuses on improving the understanding and treatment of thoracic insufficiency syndrome (TIS).

Latest Patents

Changjian Sun holds a patent for a groundbreaking method titled "Quantitative dynamic MRI (QDMRI) analysis and virtual growing child (VGC) systems and methods for treating respiratory anomalies." This patent describes a method of analyzing TIS in a subject through quantitative dynamic magnetic resonance imaging. The QdMRI analysis involves constructing four-dimensional images of a TIS subject's thoracic cavity, which includes a sequence of two-dimensional images over a respiratory cycle. The analysis also entails segmenting a region of interest within the 4D image, determining TIS measurements, and comparing these measurements to normal values from healthy subjects. The output provides quantitative markers that indicate deviations in the thoracic cavity of the TIS subject.

Career Highlights

Changjian Sun is affiliated with The Children's Hospital of Philadelphia, where he applies his expertise in medical imaging to enhance patient care. His work is pivotal in advancing the understanding of respiratory conditions in children, particularly those affected by TIS.

Collaborations

Changjian collaborates with esteemed colleagues such as Jayaram K Udupa and Yubing Tong. Their combined efforts contribute to the development of innovative solutions in medical imaging and treatment methodologies.

Conclusion

Changjian Sun's contributions to quantitative dynamic MRI analysis represent a significant advancement in the field of medical imaging. His innovative methods are poised to improve the diagnosis and treatment of respiratory anomalies, ultimately benefiting patients and healthcare providers alike.

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