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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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Proceedings ArticleDOI
22 May 2020
TL;DR: The biomedical engineering cycle of breast holder development alongside medical physics considerations is detailed, including the two step process of considering single cup versus double cup solutions and how mild-suction to the breast can be implemented in order to maximum breast tissue visualization and assist with dose uniformity.
Abstract: Aim: In recent years Phase Contrast Tomography (PCT) has been rapidly progressing towards clinical translation as an advanced imaging technology for breast cancer diagnosis. Recent optimization of PCT with mastectomy samples has refined imaging protocols and biomedical-engineering prowess is now required to formalize patient table and breast immobilisation requirements. PCT imaging requires women to lie in prone position similar to conventional breast CT, however the imaging couch rotates above the beam allowing exposure of the breast beneath. Motion artefact through involuntary movement of the breast through the rotation cycle has the potential to reduce diagnostic quality of the results. Methods: This paper details the biomedical engineering cycle of breast holder development alongside medical physics considerations. Breast immobilisation via a plastic or silicone supporting material which is sufficiently transparent for X-rays in the targeted energy range is explained, including the two step process of considering single cup versus double cup solutions and how mild-suction to the breast can be implemented in order to maximum breast tissue visualization and assist with dose uniformity. Results: Considering patient comfort, breast positioning and implications upon attenuation and phase shift, a number of models were developed in Australia and Italy. Early prototypes are described here with some preliminary imaging. Considerable work is taking place over the next three months as models undergo imaging with mastectomy samples at the Imaging and Medical Beamline at the Australian Synchrotron and the ELETTRA Synchrotron Italy. Consumer representatives will be rating the immobilisation device for comfort prior to the start of clinical trials in 2020.

3 citations

Journal ArticleDOI
TL;DR: In this article, the authors described the application of indocyanine green fluorescence (ICG) imaging technology with near-infrared window I in the navigation of liver cancer surgery, and explored novel fluorescent probes and near-inrared window II fluorescence imaging technology, and discussed the development status of the 2 emerging tools.
Abstract: Background. Hepatocellular carcinoma, among the most common malignant digestive system tumorsworldwide, is most effectively treated with precise surgical resection. Near-infrared fluorescence imaging technology is being increasingly used clinically and has achieved great initial results in the navigation of liver cancer surgery. Methods. This review describes the application of indocyanine green fluorescence (ICG) imaging technology with near-infrared window I in the navigation of liver cancer surgery, explores novel fluorescent probes and near-infrared window II fluorescence imaging technology, and discusses the development status of the 2 emerging tools. Results. ICG fluorescence imaging technology can precisely localize the tumor, reveal the boundary of liver cancer or liver segment, and identify the bile leakage. The novel fluorescent probe is more targeted than ICG, which makes the detection of cancer more accurate. Near-infrared window II fluorescence imaging technology can lead to outstanding gains in deeper detection, higher resolution, and fidelity. But, due to the shortcomings of machine and probe, it is not widely used in clinical. Conclusion. Near-infrared fluorescence imaging has great development potential. With the advent of precision medicine and the progress of various biotechnology studies, fluorescence imaging technology will be better developed and applied in the diagnosis, surgical navigation, and treatment of liver cancer.

3 citations

Book ChapterDOI
29 May 2013
TL;DR: The digital holographic microscopy is a new imaging technology applied to optical microscopy that yields a 3D volume image from a single image capture.
Abstract: Imaging of microscopic objects is an essential art, especially in life sciences Rapid progress in electronic detection and control, digital imaging, image processing, and numerical computa‐ tion has been crucial in advancing modern microscopy At present the 3D imaging of biological samples is done by confocal microscopes Their ability to image biological events in real time is limited by the time necessary to capture stacks of images taken through a certain plane in cells or tissues from which a 3D view is calculated Digital holographic microscopy is a new imaging technology applied to optical microscopy The digital holographic microscopy is a very advanced imaging technique because it yields a 3D volume image from a single image capture

3 citations

18 Mar 1998
TL;DR: This work introduces a method to compute a minimal set of camera positions for this purpose, and uses a hierarchical visibility method to preprocess the scene to derive an optimal set of viewpoints.
Abstract: Today many systems exist to generate geometric models of existing scenes and objects. However, no accurate data about surface appearance such as colors and textures is stored in this process. Such data can be captured as a series of images that, collectively, capture all surfaces of the object. This work introduces a method to compute a minimal set of camera positions for this purpose. Taking images from the computed positions can then be used to derive a complete set of surface appearance data. A slightly different application of the presented method is the computation of a minimal set of viewpoints for reference images to be used in image-based rendering methods. First a method to determine an optimal set of viewpoint regions for a given scene is introduced. It uses a hierarchical visibility method to preprocess the scene. Then a technique to find an optimal set of viewpoint regions is presented and the solution is used to derive an optimal set of viewpoints. Results and visualizations of the computed solutions are presented.

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202312
202224
202190
202091
201984
201879