Imaging technology

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

Synergy of ultrasound, elasticity, and optoacoustic imaging for improved detection and differentiation of cancerous tissue

Abstract: The effective management of cancer requires early yet reliable detection, localization, and diagnosis Therefore, there is a definite and urgent clinical need for an imaging technique that is widely available, is simple to perform, is safe, and that can detect and adequately diagnose cancer In this paper we present a hybrid imaging technology based on fusion of complementary imaging modalities ultrasound, optoacoustics, and elastography to take full advantage of the many synergistic features of these modalities and thus to significantly improve sensitivity and specificity of cancer imaging To evaluate our approach, numerical and experimental studies were performed using heterogeneous phantoms where ultrasonic, optical, and viscoelastic properties of the materials were chosen to closely mimic soft tissue The results of this study suggest that combined ultrasound‐based imaging is possible and can provide more accurate, reliable and earlier detection and diagnosis of tissue pathology In addition, monitoring of cancer treatment and guidance of tissue biopsy are possible with combined imaging system Practical and experimental aspects of combined imaging will be discussed with emphasis on data capture and signal/image processing algorithms The paper will conclude with a discussion of the advantages, limitations, and potential clinical applications of the combined imaging technique

Lensless Computational Imaging Technology Using Deep Convolutional Network.

Abstract: Within the framework of Internet of Things or when constrained in limited space, lensless imaging technology provides effective imaging solutions with low cost and reduced size prototypes. In this paper, we proposed a method combining deep learning with lensless coded mask imaging technology. After replacing lenses with the coded mask and using the inverse matrix optimization method to reconstruct the original scene images, we applied FCN-8s, U-Net, and our modified version of U-Net, which is called Dense-U-Net, for post-processing of reconstructed images. The proposed approach showed supreme performance compared to the classical method, where a deep convolutional network leads to critical improvements of the quality of reconstruction.

Assessing diagnostic accuracy in veterinary imaging.

Abstract: With continued specialization in diagnostic radiology and imaging technology, it increasingly becomes important for diagnostic radiologists to focus on the science of diagnosing disease. Imaging modalities provide a means to examine patients; however, it is the detection of imaging signs (Roentgen signs) that constitutes imaging tests. All tests are subject to error, and the degree of error cannot be determined by clinical experience alone. Therefore, measurements of diagnostic accuracy are important. Accuracy estimates are greatly influenced by selection of the decision criterion and sample population. This article reviews some of the principles for assessing diagnostic accuracy in medical imaging, which is helpful for deciding what tests to perform and how to interpret results once a test has been performed.

Feasibility of prostatectomy without prostate biopsy in the era of new imaging technology and minimally invasive techniques

Abstract: Feasibility of prostatectomy without prostate biopsy in the era of new imaging technology and minimally invasive techniques