Abstract: A system provides methods to significantly improve the efficiency of reading medical image data. The workflow panel provides a grouping of tasks for reviewing and comparing medical images. Tablets are created for each task, consolidating the tools and associated hanging protocols to efficiently perform the actions for that task. The 3D navigation point keeps the current spatial focus point within the field of view as the user transitions between series, orientations, hanging protocols, and zoom levels. The spatial zoom method provides consistent zooming of series with varying fields of view and spatial resolution. Having the ability to overlay the parametric map on any series, regardless of its orientation or field of view, allows the user to correlate the parametric map with features on the non-temporal series. Integrating all of these methods with the workflow panel allows users to quickly step through the tasks in a workflow with minimal user actions.

Abstract: A system to collect and analyze medical image data is applicable for multi-modality medical imaging systems, such as x-ray, MRI, and the like. Medical image data is collected and analyzed to determine one or more regions of interest. A selected region of interest is further analyzed to determine morphological characteristics. A feature library, which may be in the form of a data base, is used to analyze the image on a pixel-by-pixel basis to determine the degree to which the region of interest matches selected morphological characteristics, such as shape or margin. The resultant data is used to generate a map indicating a continuum over which the region of interest matches the morphological characteristics. A display receives the map data and applies it to the video image to thereby provide the user with a visualization of the degree to which the region of interest matches the morphological characteristics.

Abstract: A system for the automatic generation of custom report viewing utilizes imaging data and computer-aided detection technology to identify cancerous tumors. A typical collection of data from a patent's scan may include hundreds of images and associated data. The custom report viewer allows one physician, such as a radiologist, to analyze the data and prepare a report. The generated report may contain images, computed measurements, classifications based on a standard (such as the ACR BI-RADS for Breast MR), and locations relative to landmarks. Different physicians, such as an oncologist or a surgeon, may have need of differing images and supporting data for their own purposes. Each physician may select, in advance, custom selection criteria that are stored in association with that physician. A report generator module uses the stored selection criteria and report filtering to extract the images and supporting data specified by the particular physician.

Abstract: A method for analyzing or processing contrast enhanced medical imaging information includes determining whether one or more candidate voxel sets within a Volume of Interest (VOI) exhibit washout curve behavior. If so, the method may identify a candidate voxel set exhibiting washout behavior as a likely malignancy. Otherwise, a method may determine whether one or more candidate voxel sets within the VOI exhibit plateau curve behavior, in which case the method may identify a candidate voxel set exhibiting plateau behavior as a likely malignancy. Otherwise, the method may identify a candidate voxel set exhibiting persistent enhancement behavior as a likely malignancy. In one embodiment, a candidate voxel set exhibiting a given type of time dependent imaging signal intensity curve or profile may be identified as a likely malignancy based upon a highest percent enhancement value.

Abstract: One anatomically based medical information processing procedure involves acquiring one or more medical imaging data sets, and dividing and/or merging particular medical imaging data sets to form one or more anatomically based data sets. An anatomically based data set may comprise medical imaging data corresponding to an anatomical region that subsumes or is subsumed by an anatomical region corresponding to a medical imaging data set used to generate the anatomically based data set. Different medical imaging data sets and/or anatomically based data sets may correspond to different anatomical regions and/or imaging modalities. Display of one or more acquired medical imaging data sets and/or anatomically based data sets may be facilitated through a GUI, which may include a menu organized by anatomical region.

Abstract: A system for surgical planning and therapeutic monitoring utilizes imaging data and computer-aided detection (CAD) technology to identify cancerous tumors. A pre-treatment report identifies all volumes of interest (VOIs) and provides data regarding the size and location of each VOI as well as volumetric data for use in surgical planning. The system can be used to monitor the progress of adjuvant chemotherapy or other non-surgical treatment and measures changes in tumor size and location. Post-treatment reports provide data regarding changes in tumor size and location as well as trend data to provide guidance to the physician.

Abstract: A system for the automatic generation of custom report viewing utilizes imaging data and computer-aided detection technology to identify cancerous tumors. A typical collection of data from a patent's scan may include hundreds of images and associated data. The custom report viewer allows one physician, such as a radiologist, to analyze the data and prepare a report. The generated report may contain images, computed measurements, classifications based on a standard (such as the ACR BI-RADS for Breast MR), and locations relative to landmarks. Different physicians, such as an oncologist or a surgeon, may have need of differing images and supporting data for their own purposes. Each physician may select, in advance, custom selection criteria that are stored in association with that physician. A report generator module uses the stored selection criteria and report filtering to extract the images and supporting data specified by the particular physician.

Abstract: A method for analyzing or processing contrast enhanced medical imaging information includes determining whether one or more candidate voxel sets within a Volume of Interest (VOI) exhibit washout curve behavior. If so, the method may identify a candidate voxel set exhibiting washout behavior as a likely malignancy. Otherwise, a method may determine whether one or more candidate voxel sets within the VOI exhibit plateau curve behavior, in which case the method may identify a candidate voxel set exhibiting plateau behavior as a likely malignancy. Otherwise, the method may identify a candidate voxel set exhibiting persistent enhancement behavior as a likely malignancy. In one embodiment, a candidate voxel set exhibiting a given type of time dependent imaging signal intensity curve or profile may be identified as a likely malignancy based upon a highest percent enhancement value.

Abstract: In one embodiment, an adaptive medical image registration procedure includes a motion estimation procedure involving estimating or determining an amount of patient or tissue motion along a set of axes; an evaluation procedure involving evaluating an estimated amount of motion relative to a correction threshold; and a correction procedure involving performing a two dimensional image resampling, a three dimensional image resampling, or possibly avoiding an image resampling based upon a relationship between an estimated amount of motion and the correction threshold. Axes considered by a motion estimation procedure may include an axis of lowest image resolution, and the correction threshold may have a value given by a fraction of a lowest image resolution.

Abstract: An apparatus distributes processed image data from a central location to remote terminals, for viewing by medical personnel for the purposes of diagnosis and determining a treatment regimen for a patient. The apparatus receives image data from imaging devices, and is programmed with rules or other parameters with respect to the manner in which that image data is to be processed and sorted. The apparatus applies the parameters to the appropriate received image data, and distributes the processed image data to one or more remotely coupled terminals. Because the image data is automatically pre-processed by the apparatus according to various parameters that are specific to certain medical personnel's preferences (or specific to other factors), the amount of repetitive user-required configuration and repetitive workstation processing is reduced—simple remote terminals with limited processing capability can receive highly customized image data.

Abstract: A technique flexibly applies pre-programmed rules that specify the manner in which medical image data is to be classified or otherwise processed. A rules-based system selects from the pre-programmed rules, with different rules being used based on different doctors' preferences, such as during contrast agent studies. The rules-based system is initially “taught” how to apply a doctor's rules via a sample data image set, and then automatically applies the same rules to that doctor's image data whenever that image data is subsequently provided, thereby avoiding the need for doctors to constantly reconfigure a system with their own rules repetitively for each and every image or to otherwise place the burden of processing on the doctor. The programmed rules can include rules from the available literature—the doctors or other users are free to select from these available rules, modify/customize them to generate new rules, or provide completely new rules.

Abstract: A user interface is used to view images, such as medical images. The images are organized according to slices, which may be spatially related to one another, and according to series having slices aligned with corresponding slices in other series. The series may be temporally related to each other. A user input device, such as a mouse, is provided. Clicking on a button of the mouse and dragging up/down results in display of slices within a particular series. Clicking on the button of the mouse and dragging left/right results in display of aligned slices from different series.

Abstract: A similarity value of data elements is modified to provide an improved image of an object. Using an appropriate sensor, data is collected from an object and stored as a plurality of discrete data points. The data points are compared to each other to determine how similar the data properties of one data element are to another data element. A similarity value is assigned to each of the data elements representative of the difference between the properties of the two data elements. The similarity value for each particular data element is then modified based on a weighted similarity value of the data element itself and a group of adjacent data elements. The modified similarity value is then stored for each data element and used to produce an image representative of the object.