Review of spectral imaging technology in biomedical engineering: achievements and challenges
By Qingli Li, Xiaofu He, Yiting Wang, Hongying Liu, Dongrong Xu, Fangmin Guo. Journal of Biomedical Optics, 2013
389 citations recorded by the source corpus.
Abstract. Spectral imaging is a technology that integrates conventional imaging and spectroscopy to get both spatial and spectral information from an object. Although this technology was originally developed for remote sensing, it has been extended to the biomedical engineering field as a powerful analytical tool for biological and biomedical research. This review introduces the basics of spectral imaging, imaging methods, current equipment, and recent advances in biomedical applications. The performance and analytical capabilities of spectral imaging systems for biological and biomedical imaging are discussed. In particular, the current achievements and limitations of this technology in biomedical engineering are presented. The benefits and development trends of biomedical spectral imaging are highlighted to provide the reader with an insight into the current technological advances and its potential for biomedical research.
Subfields: Analytical Chemistry, Biophysics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/f63adc1667eeb430185cf9fd9035c5c263c505c2
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In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Smartphone Sensors for Health Monitoring and Diagnosis (2019, background): “The spectral imaging techniques, on the other hand, exploits the spectral reflectance characteristics of affected sites on the skin [91,92] to resolve heterogeneous lesions and was reported to be useful in differentiating skin diseases, such as early-stage melanoma from dysplastic nevi and melanocyt”