Topic
Imaging technology
About: Imaging technology is a research topic. Over the lifetime, 1450 publications have been published within this topic receiving 26186 citations.
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TL;DR: This paper systematically reviewed the investigation of in vivo kinematics of the human knee, shoulder, lumber spine, and ankle using advanced imaging technologies, especially those using a dual fluoroscopic imaging system (DFIS).
Abstract: Summary Computer-assisted imaging analysis technology has been widely used in the musculoskeletal joint biomechanics research in recent years. Imaging techniques can accurately reconstruct the anatomic features of the target joint and reproduce its in vivo motion characters. The data has greatly improved our understanding of normal joint function, joint injury mechanism, and surgical treatment, and can provide foundations for using reverse-engineering methods to develop biomimetic artificial joints. In this paper, we systematically reviewed the investigation of in vivo kinematics of the human knee, shoulder, lumber spine, and ankle using advanced imaging technologies, especially those using a dual fluoroscopic imaging system (DFIS). We also briefly discuss future development of imaging analysis technology in musculoskeletal joint research.
2 citations
TL;DR: This work focused on the part of in vivo imaging in human, and introduced the recent progress of modern biomedical imaging, as a crossing point of basic science and clinical medicine.
Abstract: Combination of recent progress in imaging technology and molecular biology/gene technology has evolved a new field named "molecular imaging". It includes wide range of imaging technique from basic research to clinical practice. For basic researchers, we focused on the part of in vivo imaging in human, and introduce the recent progress of modern biomedical imaging, as a crossing point of basic science and clinical medicine.
2 citations
18 Dec 2019
TL;DR: This paper intends to adopt an imaging method that integrates super large pixels, ultra-thin process microlens collection, and large-diameter light transmission to increase the sensitivity of the device by 50~100 times, thereby achieving wide-spectrum full-color imaging.
Abstract: Research of starlight-level wide-spectrum full-color imaging technology is aimed at the current demand of obtaining the real color image in the low ambient light. because traditional visible light imaging, laser imaging, thermal imaging and other technical methods can only obtain the target grayscale imaging information, but not obtain the target true color information. According to statistics, color images contain 30 times more information than grayscale images, and spectral information is extremely critical in target recognition. This paper intends to adopt an imaging method that integrates super large pixels, ultra-thin process microlens collection, and large-diameter light transmission to increase the sensitivity of the device by 50~100 times. The technical difficulty at this stage is based on large pixel, large area array, high pass light rate, low noise imaging device preparation technology. The key to achieving full-color imaging is the fabrication of large-pixel, large-area imaging devices and high-transmission, low-noise process technology. On this basis, we also designed deep learning image processing algorithms, conducted color brightening and enhancement of devices’ physical true color, and increased the signal-to-background ratio of images, which laid a technological foundation for the follow-up target detection and identification, and industrialized application. lastly, the minimum illumination of color night vision is 0.0001Lux@25Hz, F1.0, thereby achieving wide-spectrum full-color imaging.
2 citations