Imaging technology

About: Imaging technology is a research topic. Over the lifetime, 1450 publications have been published within this topic receiving 26186 citations.

Cone beam CT--anatomic assessment and legal issues: the new standards of care.

Abstract: Until the recent introduction of cone beam computed tomography scanners, standard 2-D imaging provided a moderate contribution to overall treatment planning when considering the diagnostic potential, costs of study and risks to the patient. Cone beam computed tomography-dedicated maxillofacial imaging scanners provide broader imaging tools for anatomic assessment and have become widely available. This article discusses the uses and benefits of 3-D imaging, as well as the impact on the standard of care. Many phases of patient care involve imaging to assist with diagnosis, treatment planning, risk assessment and treatment. Techniques employing X-rays, visible light, ultrasound, lasers and magnetic fields have been used in medicine and dentistry to create images. All forms of imaging require a coupled system of emitters and sensors. For example, a cephalometric image is produced using an X-ray emitter and film sensor. Imaging systems can be categorized in many different ways based upon emitter or output type (examples; film-based, digital, 2-D and 3-D images). The resultant images can be used to evaluate the anatomy of interest, including surface and subsurface. The ultimate quest of all forms of imaging is to reveal the anatomic truth; that is, to portray the anatomy as it exists in nature. Thoughtful clinical application of image acquisition requires matching the uses and limitations of the available imaging choices to achieve the desired diagnostic information (imaging goal) while keeping the risks and costs to the patient as low as possible. Imaging data must provide a benefit at an acceptable cost and risk. Two-dimensional representation of 3-D anatomies creates images that have poor spatial accuracy, are static in space and time, and contain information voids. These 2-D measurements have propagated legacy databases of inaccurate morphometric measurements. Current development in imaging technology for dentistry includes digital imaging and improved sensor technology. Multidimensional anatomical reconstruction can be performed through software applications. The ultimate reward of technological imaging advancements is the 3-D representations (digital volume) of anatomy as it exists in nature (anatomic truth). Analysis of the accurate digital volume can provide clinically relevant spatial information or data. Visualization and analysis of 3-D information can benefit a dental practice by providing data that will improve diagnosis, risk assessment, treatment outcome and treatment efficiency, and reduce treatment complications. This article discusses the uses and benefits of 3-D imaging (cone beam CT, CBCT) for diagnosis, treatment planning and the legal issues affecting the standard of care, as well as offering risk management tips and use guidance.

Intelligent Imaging Technology in Diagnosis of Colorectal Cancer Using Deep Learning

Abstract: In order to explore the application of deep learning based intelligent imaging technology in the diagnosis of colorectal cancer, Tangdu Hospital patients are selected as the research object in this study. By scanning the cancer sites, then distinguishing and extracting the features of the tumors, the collected data are input into the designed in-depth learning intelligent assistant diagnosis system for comparison. The results show that in the analysis of image prediction accuracy, the best prediction accuracy of T1-weighted image method is matrix GLCM (gray level co-occurrence matrix) algorithm, the best prediction accuracy of adding T1-weighted image method is matrix MGLSZM (multi-gray area size matrix) algorithm, and the best prediction accuracy of T2-weighted image method is ALL combination of all texture features, and the best prediction accuracy of three imaging sequences is not more than 0.8. In the AUC analysis of the area under the curve of different texture features, it is found that T2-weighted imaging method has obvious advantages in differentiating colorectal cancer from other methods. Therefore, through this study, it is found that in the use of deep learning intelligent assistant diagnosis system for the diagnosis of colorectal cancer, it can provide useful information for the clinical diagnosis of colorectal cancer to a certain extent. Although there are some deficiencies in the research process, it still provides experimental basis for the diagnosis and treatment of colorectal cancer in later clinical stage.

High-spatial-resolution laser differential confocal spectrum-mass spectrum microscopic imaging method and device

Abstract: The invention relates to a high-spatial-resolution laser differential confocal spectrum-mass spectrum microscopic imaging method and device and belongs to the field of a confocal microscopic imaging technology, a spectral imaging technology and a mass spectrum imaging technology. The differential confocal imaging technology, the mass spectrum imaging technology and a spectrum detection technology are combined; a sampled is axially focused and imaged through the focused spot of a high-spatial-resolution differential confocal system; a mass spectrum system is utilized to carry out micro area mass spectrum imaging for charged molecules and atoms generated by desorbing and ionizing the sample by the focused spot of the high-spatial-resolution differential confocal system; a spectrum detection system is utilized to carry out spectral imaging for the emission spectrum information of plasmas generated by desorbing and ionizing the sample by the focused spot of the high-spatial-resolution differential confocal system; the high resolution morphology and composition detection of a micro area of the sample is realized through the fusion processing of detection data. The method and the device overcome the defect that the current confocal imaging technology cannot inhibit stray light interference of a focal plane, and provide a new effective technical way for mass spectrum high-resolution imaging.