Showing papers by "Saad Ahmed Sirohey published in 2006"

Computer assisted domain specific entity mapping method and system

Abstract: A technique for identifying, analyzing, structuring, mapping and classifying data entities is disclosed. A conceptual framework is established by a domain definition having an association list of attributes of interest. Data entities are accessed, analyzed, structured if appropriate, mapped and classified in accordance with the association list and attributes found in the entities, and in accordance with rules and algorithms for analyzing, recognizing and classifying the attributes. Various types of analysis may be performed following the classification. Searches and selection of the data entities may also be performed. Complex data entities may be processed, including text documents, image data, audio data, waveform data, and combinations of these.

Method and system for adjusting 3D CT vessel segmentation

Abstract: Method and system for processing an object within a diagnostic image comprises segmenting a three dimensional (3D) object within a diagnostic image. A contour of the object is fitted with a 3D mesh comprising splines in at least first and second directions. The splines provide a plurality of editable control points, and the splines in the first direction intersect with the splines in the second direction at intersection points. A position of at least one control point on the 3D mesh is adjusted based on a user input.

Methods and systems for enhanced plaque visualization

Abstract: Methods and apparatus for coding a visual representation of one or more plaque regions in a vessel are provided. The method includes segmenting the visual representation of the vessel to identify structures associated with the vessel, classifying at least one region in the vessel as a plaque region, displaying the at least one plaque region using a visual highlight selectively associated with the classification for the at least one plaque region, and shading the visual highlight based on a probability that the classification is correct.

Method and apparatus for synchronizing corresponding landmarks among a plurality of images

Abstract: A method is provided for synchronizing corresponding landmarks among a plurality of images of an elastic object. The method includes identifying a plurality of landmarks in a first image of the object and a second image of the object, determining a correspondence between the landmarks in the first image and the landmarks in the second image, determining a distance transformation between a pair of adjacent landmarks in the first image and the corresponding pair of adjacent landmarks in the second image, and when displaying the first and second images, using the distance transformation to smoothly navigate between the adjacent landmarks such that corresponding landmarks of the first and second images are arrived at about simultaneously during navigation.

Method and system for automatically generating a disease severity index

Abstract: Methods and systems for automatically generating a severity index for images of anatomical features of a patient are provided. In an exemplary embodiment, an image of an anatomical feature of a patient is compared with a normal, standardized image of the same anatomical feature. Based on this comparison, a deviation image for the anatomical feature is generated that represents the degree and manner the acquired image deviates from normal for that anatomical feature. The deviation image is automatically pattern matched against multiple images of known disease severity for the anatomical feature. Based on the automated pattern match, a known disease severity, such as in the form of a severity index, is provided as corresponding anatomical feature for the patient.

Real-time interactive data analysis management tool

Abstract: Images and quantitative analytical data are displayed in an interactive manner to a user to facilitate efficient and effective diagnosis, treatment, and assessment of an abnormality or pathology. Images acquired over time, which may be acquired with scanners of various modalities, are registered, displayed in a single image, and comparatively quantified to provide historical analysis of a given abnormality or pathology. The historical images and quantitative data may then be analyzed to determine the effectiveness of an applied treatment and provide additional guidance for a to-be implemented treatment. The images may include anatomical images or functional images. The quantitative data may be displayed in an interactive tabular format or displayed graphically through histograms, charts, graphs, and the like.

Method and system for creating and using an impact atlas

Abstract: A method and system for processing a cardiac image dataset acquired from an imaging system is provided. A location of a first potential blockage point within a first cardiac vessel is located. A functional impact of the first potential blockage point on the cardiac tissue is predicted, and a representation of the functional impact is provided.

Method and system for automatic algorithm selection for segmenting lesions on pet images

Abstract: A method and system is provided for automatically processing a volumetric diagnostic image dataset. A first seed point is defined within a lesion. The lesion is within a first image dataset representative of a subject. A first boundary is defined in three dimensions within the first image dataset and the first seed point and the lesion are within the first boundary. At least one parameter is determined based on the first image dataset. A first segmentation algorithm is selected from a plurality of segmentation algorithms based on the at least one parameter, and the lesion is segmented using the first segmentation algorithm.

Methods and apparatus for generating a risk metric for soft plaque in vessels

Abstract: A method for generating a score for soft plaque in coronary arteries includes using the computer to estimate the soft plaque content within at least one object depicted in a medical image, using the computer to determine a plaque score dependent upon the estimated soft plaque content of the at least one object, and using the computer to report the plaque score.

Methods and systems for optimizing high resolution image reconstruction

Abstract: Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.

System and method for on-demand visual enhancement of clinical conitions in images

Abstract: A system and method for enhancing visualization of clinical conditions comprising receiving imaging data on a subject from an imaging modality, receiving user input on at least one suspected clinical condition of the subject undergoing imaging on the imaging modality, and processing the imaging data in association with a knowledgebase using an optimal image processing algorithm to enhance visualization of the at least one suspected clinical condition in at least one image.

Methods and apparatus for detecting aneurysm in vasculatures

Abstract: Methods and apparatus for detecting aneurysm in vasculatures are provided. The method includes removing bone structures from three-dimensional (3D) computed tomography (CT) angiography image data and extracting spherical shapes from the bone removed 3D CT angiography image data. The method further includes displaying the extracted spherical shapes on an image of the 3D CT angiography image data.

Part-Based local shape models for colon polyp detection

Abstract: This paper presents a model-based technique for lesion detection in colon CT scans that uses analytical shape models to map the local shape curvature at individual voxels to anatomical labels. Local intensity profiles and curvature information have been previously used for discriminating between simple geometric shapes such as spherical and cylindrical structures. This paper introduces novel analytical shape models for colon-specific anatomy, viz. folds and polyps, built by combining parts with simpler geometric shapes. The models better approximate the actual shapes of relevant anatomical structures while allowing the application of model-based analysis on the simpler model parts. All parameters are derived from the analytical models, resulting in a simple voxel labeling scheme for classifying individual voxels in a CT volume. The algorithm’s performance is evaluated against expert-determined ground truth on a database of 42 scans and performance is quantified by free-response receiver-operator curves.

Method and system for automatically identifying and displaying vessel plaque views

Abstract: A method for processing computed tomography (CT) datasets comprises identifying regions of interest (ROIs) within a CT dataset is provided. The ROIs are ranked based on a comparison to at least one predetermined parameter. The ranking determines a level of importance for the ROIs with respect to each other. A list of the ROIs is provided on a display, the list indicating the ROIs based on an associated level of importance. The ROIs are selectable with a user interface.

Purpose-driven enhancement filtering of anatomical data

Abstract: A process for purpose-specific enhancement filtering of anatomical data includes acts of selecting at least one specific purpose from a predetermined list of a plurality of analytical tools for anatomical data analysis and setting specific parameter values for the specific purpose. The process also includes acts of enhancing the anatomical data using a three-dimensional, segmentation-based filter, using the specific parameter values, to provide enhanced anatomical data and using the enhanced anatomical data for the selected specific purpose.

Systems, methods and apparatus for a network application framework system

Abstract: Systems, methods and apparatus are provided through which in some embodiments a central computer provides a communication path between a customer computer, a vendor computer and an expert computer. In some embodiments, a tiered fee structure that includes one or more incentive is transmitted between the computers.

Method and apparatus for virtual subtraction of stool from registration and shape based analysis of prone and supine scans of the colon

Abstract: Certain embodiments of the present invention provide a system and method for identifying stool particles in virtual dissection data for a colon. A shape classification may be determined for a segmented colon by three-dimensional filtering of a prone data set and a supine data set. The shape classification may be mapped onto a prone virtual dissection image and a supine virtual dissection image. The prone data set and the supine data set may be registered using one-dimensional registration to determine a registration. Shapes may be localized based on the shape classification and the registration for the prone virtual dissection and the supine virtual dissection. A distance metric may be applied to the localized shapes to identify stool particles. The identified stool particles may be suppressed. A prone virtual dissected image and a supine virtual dissected image may be displayed having the stool particles suppressed.

Method for performing distributed analysis and interactive review of medical image data

Abstract: A technique is provided for improving workflow in processing and exchange of image data in a medical context. Image data may be accessed for processing, and save-state information may be generated following such processing that captures a state of an application used to process the image data files. A link to the save-state information may be stored on a common memory device and selected or executed by a radiologist or downstream service provider for accessing both the images and for placing the application in the state used to process the images. The resulting workflow greatly facilitates access to images as well as restoration of useful states of applications used to process the images.

Managing medical imaging data

Abstract: A method is provided for managing medical imaging data. The method includes storing location information that indicates a location of an imaging data set created for a medical purpose of a patient in an electronic file created for the medical purpose.

Methods and apparatus for suppressing tagging material in prepless CT colonography

Abstract: A method for suppressing tagged material in prepless colonoscopy includes identifying and segmenting multiple density classes, intensity classes, or both in a volumetric medical image of a patient including a volume of the patient's colon and classifying the volume of the patient's colon into a plurality of types based upon the identified and segmented density classes, intensity classes, or both. The method further includes subtracting, suppressing, or leaving the tagged material in the image in accordance with the type classifications to produce a resulting image and visualizing the resulting image.

Method and system for identifying regions in an image

Abstract: A method and system for visualizing regions in an image is provided. The method comprises computing a regional response around a region in the image, deriving a region score based on from the regional response for the region and labeling the region in the image by comparing the region score to a plurality of probabilistic models.

Systems, methods and apparatus for plaque visualization and quantification using fuzzy and adaptive region classes

Abstract: Systems, methods and apparatus are provided through which coronary plaque is classified in an image and visually displayed using an iterative adaptive process, such as an expectation maximization process.

Systems, methods and apparatus for creation of database of image from categorical index

Abstract: PROBLEM TO BE SOLVED: To provide consistent, uniformly formatted, and highly reliable diagnoses of medical conditions and diseases based on anatomical images. SOLUTION: This system 100 contains a normal image database 102. The normal image database 102 contains an image of a disease-free anatomical structure. The image is generated with a structure element 104 extracting an anatomical feature by standardizing a normal anatomical image and with another structure element 106 averaging the extracted image of the anatomical feature. A structure element 110 comparing the extracted image(s) of the anatomical feature and an image in the normal image database 102 is included. A comparison produces a static comparison work flow 112. The comparison produces a Z-score database 114 specific to a certain anatomical feature. The comparison produces a longitudinal comparison work flow 116. A longitudinal direction is also known as a time direction. The longitudinal comparison compares images over a certain time interval. COPYRIGHT: (C)2007,JPO&INPIT

Clinical investigation and analysis work flow for evaluating pulmonary nodule

Abstract: PROBLEM TO BE SOLVED: To rationalize a work flow including an observation function and an analysis function while having a novel detecting function such as digital contrast agent (DCA) for improving a time required for investigating and analyzing image data by reducing a browsing step, reducing the necessity of changing over between multiple views and shortening a time required for completing the examination. SOLUTION: A viewport allowing a user to freely set its configuration for investigating and analyzing the image data includes an investigation viewport 10 and an analysis viewport 20. The investigation viewport displays a plurality of image views of image data in an investigation mode. The analysis viewport displays a plurality of image views of the image data in an analysis mode. The investigation viewport and the analysis viewport can be constituted to simultaneously display related image data. COPYRIGHT: (C)2007,JPO&INPIT

Distributed image processing for medical images, involves monitoring system resources between communicating server and client to produce monitoring data, processing image data, and allocating image data to client based on monitoring data

Abstract: The method involves ensuring communication between a server and a client in a distributed network, in which the distributed network provides the system resources for establishing communication path between the server and client. The system resources and band area are monitored by process control units to produce monitoring data. Part of the system resources is processed using three-dimensional image data to produce two-dimensional image data for the client. The two-dimensional image data are allocated to the client based on the monitoring data. An independent claim is included for the distributed image processing system for medical images.

Computer readable medium e.g. optical medium for patient's diagnostic medical reference image information database, contains instructions to produce database of image variation data and severity class grade with respect to each data

Abstract: The medium has instructions that are executed by a processor to access image variation data regarding severity suspicious anatomical characteristics with reference to an indicator. The instructions assign severity class grade to each image variation data. The instructions produce a data base of the image variation data and severity class grade with respect to each image variation data. Image data are compared with a normal image data database (102). An independent claim is also included for a method of producing diagnostic medical reference images.