R2 Technology, Inc.

Hologic, Inc.

Mevis Medical Solutions, Inc.

Mevis Medical Solutions Ag

Takeshi Doi

Harlan M Romsdahl

Susan Alyson Wood

Anat Caspi

Heidi Zhang

Jimmy R Roehrig

Wei Zhang

Nico Karssemeijer

Guido M Te Brake

Vilim Simcic

Facilitating viewer comparison of a plurality of medical images of at least one body part on a softcopy review workstation is described. First and second medical images are displayed such that the second medical image appears as a spatially registered underlay to the first medical image exposed through an aperture therein. The aperture comprises at least one edge that is viewer-manipulable in a back-and-forth manner so that the first and second medical images can be visually compared with minimal eye movement. For a temporal comparison embodiment, the first and second medical images comprise identical views of the same body part acquired at different times. For a cross-modality comparison embodiment, the first and second medical images are acquired substantially concurrently, or at different times, using different medical imaging modalities. For a bilateral comparison embodiment, the first and second images are corresponding views of two laterally corresponding body parts.

Facilitating comparison of medical images

A method, system, and related computer program products are provided for processing a medical image of a body part according to a computer-aided detection (CAD) algorithm, the medical image having an image border, the body part comprising imaged tissue appearing inside the image border and outlying tissue not appearing in the medical image, wherein likely anatomical abnormalities in the outlying tissue near the imaged tissue border are detected by the CAD algorithm. In one example, the detected likely abnormalities in the outlying tissue are located within a first distance from the imaged tissue border, wherein the first distance corresponds to a spatial ambit of a neighborhood-based feature computed by the CAD algorithm.

Processing medical image information to detect anatomical abnormalities

A computer-aided diagnostic method and system provide image annotation information that can include an assessment of the probability, likelihood or predictive value of detected or identified suspected abnormalities as an additional aid to the radiologist. More specifically, probability values, in numerical form and/or analog form, are added to the locational markers of the detected and suspected abnormalities. The task of a physician using such a system as disclosed is believed to be made easier by displaying markers representing different regions of interest.

Graphical user interface for display of anatomical information

A method and system for detecting suspicious portions of digital mammograms by using independently calculated mass and spiculation information is disclosed. The method is for use in a computer aided diagnosis system that is designed to bring suspicious or possibly cancerous lesions in fibrous breast tissue to the attention of a radiologist or other medical professional. In a preferred embodiment, spiculation information and mass information are independently calculated, with the computed spiculation information not being dependent on results of the mass information computation, thus leading to greater reliability. Systems according to a preferred embodiment also compute spiculation information either prior to, or concurrently with, the computation of mass information, thus allowing increased overall system speed.

Method and system for detection of suspicious lesions in digital mammograms using a combination of spiculation and density signals

Growing community of inventors

Palo Alto, CA, United States of America

Takeshi Doi