Jiansheng Wang, from the School of Information Science Technologies, published her essay “Quantitative analysis of liver tumors at different stages using microscopic hyperspectral imaging technology”in SPIE Journal. JOURNAL OF BIOMEDICAL OPTICS is a well-known journal of photobiology under the International Society for Optics and Photonics (SPIE). In the standard rankings of Chinese Academy of Sciences its impact factor is 2.367.
Jiansheng Wang published her essay in SPIE Journal.
Qingli Li, her thesis’s corresponding author and project instructor, stated that this quantitative analysis of liver tumors was expected to provide references for the early diagnosis of other relevant diseases.
Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes.Engineers build hyperspectral sensors and processing systems for applications in astronomy, agriculture, molecular biology, biomedical imaging, geosciences, physics, and surveillance.
Hyperspectral imaging of liver tumors.
The research team of multimode spectral imaging from School of Information Science Technologies of ECNU has already developed various types of microscopic hyperspectral imaging systems and applied them to intelligent recognition and analysis of biological tissues.
Liver cancer is traditionally diagnosed based on the observation of microscopic images othnological liver sections. This paper investigates in vitro samples using rats to conduct bile duct carcinoma and presents a quantitative analysis method based on microscopic hyperspectral imaging technology to evaluate liver tumors at different stages.
The results from the experiment show that this method can effectively calculate the present tumor areas in liver biopsies at different time points: 8, 12, 16, and 20 weeks. Notably, through tracking analysis, the processed results of 8-week images showed the possibility for early diagnosis of the liver tumor.
She was awarded “Best Paper” prize in ICDIP.
This work was supported by the National Natural Science Foundation of China and the Science and Technology Commission of Shanghai Municipality.
Jiansheng Wang has participated in quantatitive research since her sophomore year. Within half a year, she published her first conference thesis “An Automatic Liver Fibrosis Qualitative Analysis Method Based on Hyperspectral Images” in the Tenth International Conference on Digital Image Processing 2018 (ICDIP). She was awarded “Best Paper” prize of the conference (8 theses can be awarded this prize each year). So far, she has gained the qualification of recommended exam-exempted postgraduate. She will further this study under the guidance of Professor Qingli Li.
Translated by Siyuan Zhang Proofread by Joshua Mayfield Reviewed by Wenjun Guo