Low-dimensional manifold constrained disentanglement network for metal artifact reduction in CT images

Commonly implanted medical devices containing metal parts (i.e., dental fillings, coils, hip replacements) generate streaks in computed tomography (CT) images, thereby impeding diagnosis and interfering with radiation therapy planning. Inventors at RPI created a novel technique to boost the efficacy of neural networks for metal artifact reduction (MAR) in CT images. Currently, deep neural network-based techniques need to be trained on synthetic, paired images. Unfortunately, these images may not accurately reflect clinical reality and technical factors.

CASE - Computer Aided System Editor

Researchers at RPI have conceived a technical article publication system. “CASE” or “Computer-Aided System Editor'', may improve the quality of peer review, reduce publication costs, shorten review times, and facilitate research progress. Whereas centralized publication systems rely on authors to pay “open access” publication fees and volunteer peer reviewers, CASE provides a metric to compensate authors and reviewers as part of a crowdsourced, sustainable publishing ecosystem.

Line-of-sight detectors and communication systems in sub-THz and THz ranges

The terahertz (THz) band shows promise in terms of providing improved communications capabilities, including the ability for power-enhanced beam-forming and spatial multiplexing and reconfigurable array architectures that meet the capacity demands for 5G applications. All of these attributes of line of sight (LoS) systems in the THz spectral regime allow for wireless bit rates to be augmented without typical issues such as latency or noise complicating the picture.

Use of E.coli co-cultures for the production of flavonoids

Metabolic engineering and synthetic biology have enabled the use of microbial production platforms for the renewable production of many high-value natural products. Titers and yields, however, are often too low to result in commercially viable processes. Microbial co-cultures have the ability to distribute metabolic burden and allow for modular specific optimization in a way that is not possible through traditional monoculture fermentation methods. Rensselaer Inventors created a new type of E.


Inventors at RPI have invented a technology that can overcome the issues seen in few-view CT scans. CT scans use a large number of X-rays exposing the patient to ionizing radiation during this procedure. Though the risk of cancer from a CT scan might be extremely low, there is still a concern that the combined risks of scanning for diagnoses and/or treatment could lead to a greater number of cancers in the future. Few-view CT image reconstruction is an important approach to reduce the ionizing radiation dose.