Conventional medical imaging systems are self contained units that combine data acquisition hardware with software processing hardware and imaging display in one device.
Compared with imaging hardware development, image processing has often been the bottleneck for maximizing the use of the direct sensing information, e.g. current image segmentation methods are still restricted to relatively low-solid concentrations, therefore research is needed to develop methods for handling high-solid concentrations.
Over the past 5 years, significant technological breakthroughs in imaging hardware and image processing algorithms have also been introduced, enabling specific radiotracer imaging for improved characterization of targeted cellular and functional processes in clinical routine.
Dramatic advances in solid-state electronics and instrumentation, imaging hardware, computers, and software tools, including image-analysis techniques, have opened new avenues for quantitative imaging for the detection of melanoma.
With recent advances in imaging hardware and software, it has become possible to image the therapeutic microspheres in vivo and quantify absorbed dose to lesions and healthy parenchyma [1, 2].
While imaging hardware and software have significantly progressed in recent times, the molecular fluorescent agents remain a limiting factor.
(The noiselet measurements can actually be collected using CS imaging hardware [3], bypassing the need for a conventional N-pixel sensor).
Print and imaging hardware company Lexmark International, up 25%, and truck engine manufacturer Cummins, up 12%, both crushed fourth-quarter profit expectations by 54 cents and 61 cents, respectively.
LG's doing a good job innovating on imaging hardware for a while now, and this addition aims to add to key AI and ML learnings to help improve the pictures it takes.
