New Patents

Automated Evaluation of Ultrasonic Elasticity Images

UW-Madison researchers have developed a novel quantitative method for automatically evaluating the quality of images used in ultrasonic elasticity imaging. The method uses an empirical equation to combine different types of image quality measurements into a single quantitative descriptor of overall performance. For an operator manually deforming tissue, it may be used to provide a real-time corrective signal to improve the quality of the data acquired. It may also be used to automatically select images for averaging or animation.
(Jul 12, 2016) P04300US

Cost-Effective Isobaric Tandem Mass Tags for High Throughput Quantitative Proteomics and Peptidomics

UW–Madison researchers have designed and synthesized novel N,N-dimethylated amino acid eight- and 16-plex isobaric MS/MS tagging reagents.

The reagents consist of a reporter group and a balancing group that are isotopically coded to provide eight compounds with equal molecular weights. The balancing group is designed to provide eight isotopic combinations. The reagents feature an amine reactive group capable of reacting with the molecule to be tagged. Compared to iTRAQ reagents, the eight-plex dimethyl leucine reagents also give rise to high intensity parent and reporter ions, offering enhanced sensitivity and dynamic range for detection and quantitation of low-abundance analytes.
(Jul 12, 2016) P110257US02

Composite Images for Clearer Ultrasound

UW–Madison researchers have developed an algorithm that combines ultrasonic data from multiple images into a high-resolution image or video.

To combine images taken at different times, each of the images is first subdivided into corresponding regions. These are separately registered in rotation and translation, and then combined into a high-resolution image. The process is repeated to create video.

The method can be extended to combine images obtained at different frequencies. This takes advantage of the fact that higher frequencies provide sharper detail closer to the ultrasound machine while lower frequencies are better with distance. Accordingly, acoustic distance is considered when weighting frequency data and combining images.
(Jul 12, 2016) P130212US01

Encrypting Intellectual Property Cores

UW–Madison researchers have developed a method for encrypting the functional descriptions of IP cores. The encrypted descriptions allow simulation but still obscure the design and operation of the underlying circuit. This provides more flexible testing capabilities while protecting intellectual property.

First, an encryptor receives a description file of the circuit. The encryptor then outputs a description of the underlying IP core in which the nodes or gates of the circuit are replaced with generic placeholder nodes. These placeholders are given encrypted multivalued truth-tables that permit simulation but effectively disguise their function. For example, multiple alias values may hide the logic of the node, or the truth-table may include erroneous entries. The effect is to render the function of the node symbols practically unintelligible.
(Jul 12, 2016) P140095US01

Simultaneous Image Reconstruction and Artifact Reduction

A UW–Madison researcher has developed a system for reconstructing images with different levels of artifacts. In this way, a ‘target image’ with the lowest level of problems will be produced simultaneously with an ‘artifact image’ that depicts primarily artifacts.

The method works by automatically and iteratively producing multiple images from one set of data, with the multiple images corresponding to different data consistency levels.

Once a subject is scanned, an image matrix is initialized having columns that correspond to different images. At least one image then is reconstructed by minimizing a matrix rank. The ranking is constrained according to a consistency condition that promotes the forward projection of each column to be consistent with a different subset of the acquired data.
(Jul 5, 2016) P130064US01

Phosphine Ligands Made Cheaper, Better

UW–Madison researchers have developed methods for synthesizing novel classes of chiral phosphine ligands via enantioselective copper-catalyzed halogenation. The process is rapid and flexible, and also can be used to streamline the preparation of known phosphines.

The researchers previously described their ‘recycling’ method for use with aromatic compounds. Now, they have rendered the process enantioselective using an asymmetric bidentate phosphine ligand to produce scaffolds with high enantiomeric purity.

In essence, the use of the phosphine ligand helps form a chiral center in a complex product that is otherwise costly or impossible to create.
(Jul 5, 2016) P130268US02

Treating Chronic Myeloid Leukemia

With their method, the researchers have discovered a potential gene target to treat chronic myeloid leukemia. The gene, called OLFM4, was identified using iLSCs derived from a patient’s reprogrammed cells. They found that knocking down OLFM4 inhibits leukemia stem cells. Forty other potential gene targets also have been identified.
(Jul 5, 2016) P130277US02

Managing Computer Power and Performance

UW–Madison researchers have developed a set of predictors to monitor the energy consumption and performance of a computer’s individual components in runtime. This information can be used to manage the system based on user needs (i.e., higher power/higher performance; reduced power/reduced performance).

The predictors work by establishing predicted tradeoffs between power and performance for a particular workload while it is being executed. The predictions are combined in a system model to identify a limited number of operating state combinations. This allows operating states to be readily adapted during program execution based on a particular workload. Pareto optimal settings can be used to simplify adjustment of the system during runtime.
(Jul 5, 2016) P140071US01

Method Predicts Porting Speedup

UW–Madison researchers have developed a method of assessing the benefits of porting a program before the effort and cost of porting are undertaken. In other words, the amount of speedup can be predicted in advance.

In the new method, a computer measures multiple quantifiable execution properties of a given program. These properties describe how the program executes on a first processor system (e.g., a CPU). Next, the properties are applied to a model that estimates the change in speed that will occur if executed on a second processor system (e.g., a GPU).
(Jul 5, 2016) P140165US01

Predicting Computer Memory Failure

The researchers have now developed a method for predicting faults in static random access memory (SRAM) and cache cells. In the new method a memory circuit is artificially aged by reducing voltage, then checked using a predetermined test vector. The vector is altered if there is memory cell failure (i.e., a value of 1 will read out as 0).

The portion of memory being checked may be small and rotated through the entire memory structure to minimize overhead.
(Jul 5, 2016) P150070US01