Leland Stanford Junior University

Other

H. Lee Moffitt Cancer Center and Research Institute, Inc.

Stichting Maastricht Radiation Oncology “maastro-clinic”

Daniel L Rubin

Sandy A Napel

Robert J Gillies

Philippe Lambin

Steven A Eschrich

Robert A Gatenby

Sylvia K Plevritis

Andreas L A J Dekker

Stephen D Morse

Luis De Sisternes Garcia

Jocelyn E Barker

Assaf Hoogi

An improved rod and reel attachment for a fishing rod that provides an improved method for securing a reel to the rod wherein the reel is attachable to the foot on the attachment that slides through a dovetail channel and is secured thereon with a locking pin that allows for quick and secure attachment and de-attachment of a reel to a rod.

Fishing rod and reel attachment

Provided are automated (computerized) methods and systems for analyzing digitized pathology images in a variety of tissues potentially containing diseased or neoplastic cells. The method utilizes a coarse-to-fine analysis, in which an entire image is tiled and shape, color, and texture features are extracted in each tile, as primary features. A representative subset of tiles is determined within a cluster of similar tiles. A statistical analysis (e.g. principal component analysis) reduces the substantial number of 'coarse' features, decreasing computational complexity of the classification algorithm. Afterwards, a fine stage provides a detailed analysis of a single representative tile from each group. A second statistical step uses a regression algorithm (e.g. elastic net classifier) to produce a diagnostic decision value for each representative tile. A weighted voting scheme aggregates the decision values from these tiles to obtain a diagnosis at the whole slide level.

Profiling of pathology images for clinical applications

Provided are methods for characterizing a feature of interest in a digital image. In certain aspects, the methods use an adaptive local window and include obtaining an initial contour for a feature of interest, defining a region of interest around the contour, and segmenting the feature of interest by iteratively selecting a size of a local window surrounding each point on the contour. Non-transitory computer readable media and systems that find use in practicing the methods of the present disclosure are also provided.

Adaptive local window-based methods for characterizing features of interest in digital images and systems for practicing same

An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Systems, methods and devices for analyzing quantitative information obtained from radiological images

Disclosed is a method for analyzing retinal image data obtained using spectral-domain optical coherence tomography (SD-OCT). The image data comprise a cross-section of the retina and an en face image of the retina of a subject having AMD (age-related macular degeneration). The image data are processed to obtain an accurate structure showing locations, shape, size, and other data on drusen (deposits under the retina). This structural information is processed to extract quantitative drusen features that are indicative of a risk of progression of AMD from the dry form to the wet form of the disease in a given subject and defined time period, including short time intervals (one year or less). Relevant drusen features used include number, en face area and volume of drusen detected; shape of drusen detected; density of drusen; and reflectivity of drusen. The method uses the extracted drusen features in combination with clinical data and measurement of the changes of the quantitative image features over time to derive a risk score for whether or not the subject will progress from dry AMD to wet AMD in a defined time period.

Method and system for evaluating progression of age-related macular degeneration

Contrast agents comprising stable aqueous emulsions of iophendylate and their use in radiological examination of the small and large intestine after oral administration are described.

Growing community of inventors

Stanford, CA, United States of America

Daniel L Rubin