Patent application number | Description | Published |
20120183193 | Method and System for Automatic Detection of Spinal Bone Lesions in 3D Medical Image Data - A method and system for automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes, is disclosed. Regions of interest corresponding to bone regions are detected in a 3D medical image. Bone lesions are detected in the regions of interest using a cascade of trained detectors. The cascade of trained detectors automatically detects lesion centers and then estimates lesion size in all three spatial axes. A hierarchical multi-scale approach is used to detect bone lesions using a cascade of detectors on multiple levels of a resolution pyramid of the 3D medical image. | 07-19-2012 |
20130070996 | Method and System for Up-Vector Detection for Ribs in Computed Tomography Volumes - A method and system for up-vector detection for ribs in a 3D medical image volume, such as a computed tomography (CT) volume is disclosed. A rib centerline of at least one rib is extracted in a 3D medical image volume. An up-vector is automatically detected at each of a plurality of centerline points of the rib centerline of the at least one rib. The up-vector at each centerline point can be detected using a trained regression function. Alternatively, the up-vector at each centerline point can be detected by detecting an ellipse shape in a cross-sectional rib image generated at each centerline point. | 03-21-2013 |
20130077841 | Method and System for Automatic Rib Centerline Extraction Using Learning Base Deformable Template Matching - A method and system for extracting rib centerlines in a 3D volume, such as a 3D computed tomography (CT) volume, is disclosed. Rib centerline voxels are detected in the 3D volume using a learning based detector. Rib centerlines or the whole rib cage are then extracted by matching a template of rib centerlines for the whole rib cage to the 3D volume based on the detected rib centerline voxels. Each of the extracted rib centerlines are then individually refined using an active contour model. | 03-28-2013 |
20130114785 | METHOD FOR THE MEDICAL IMAGING OF A BODY PART, IN PARTICULAR THE HAND - A method is disclosed for the medical imaging of a body part, in particular the hand, wherein, in a tomographic image data record of the body part, points are marked which fix a face of interest running through the body part and which is singly or multiply curved. This curved face, which runs through all marked points, is then determined and the image content of the curved face is determined from the voxels of the image data record. This image content is mapped onto an observation plane which is finally displayed with the mapped image content on a screen. The method enables by way of example image representation of the structures of the left hand relevant to a skeleton examination by way of tomographic imaging. | 05-09-2013 |
20130245435 | GENERATION OF VISUAL COMMAND DATA - In a computerized method and system to generate visualization command data for two-dimensional visualization of a vascular tree of a vascular system from tomography data acquired via an imaging system, tomography data of the vascular tree are registered in the form of prepared tomography data that include acquired tomography data of the vascular tree in which said vascular tree is segmented at least in a region of surrounding structures, and in which are present a number of curve lines of vessels of the vascular tree that branch with one another. Inlets are shaped between curve lines that are adjacent and/or connected with one another via node points. Representation data are generated in which the inlets are arranged flat, adjoining one another in a two-dimensional presentation plane. The visualization command data are derived from the representation data and presented as an output. | 09-19-2013 |
20130267842 | METHOD FOR OPERATING AN IMAGING DIAGNOSTIC DEVICE AND MEDICAL IMAGING SYSTEM - A method for operating an imaging diagnostic device is proposed. Raw data is generated by the diagnostic device as a function of modality parameters while utilizing a contrast medium that is used in accordance with an injection protocol. Image data is generated from the raw data by image reconstruction as a function of reconstruction parameters. A quantitative measurement is performed in an image data evaluation by an analysis application. A subsidiary application automatically proposes a set of parameter values which is suited to the analysis application and relates to the injection protocol utilizing stored comparison data. | 10-10-2013 |
20140085297 | PLACEMENT OF INFORMATION FIELDS WHEN DISPLAYING A DIGITAL MEDICAL DATASET - A method is disclosed for displaying a digital medical image dataset. In an embodiment of the method, when a new set of diagnostic findings is generated, an associated new information field is also generated. A number of possible positions are determined for the new information field. Each of the positions is assigned an evaluation metric in accordance with a number of predefined criteria. The new information field is in this case arranged at that position having the best evaluation metric. Each existing information field that overlaps with the new information field is shifted until the existing information field is arranged free of overlap with the new information field. Other existing information fields that overlap with previously shifted information fields are shifted until all of the information fields are arranged free of overlap with one another. | 03-27-2014 |
20150078645 | System and Method for Data Driven Editing of Rib Unfolding - A method and apparatus for data driven editing of rib centerlines is disclosed. A user input location indicating an inaccuracy in a rib centerline extracted from a medical image volume is received. A local correction of the rib centerline is performed. A portion of the rib surrounding a current centerline point to be corrected is segmented based on image data of the medical image volume. A corrected centerline point for the current centerline point is generated based on the segmented portion of the rib. The centerline correction is then extended to subsequent points along the rib centerline. | 03-19-2015 |
20150085971 | METHOD AND SYSTEM FOR THE AUTOMATIC SELECTION OF A SCANNING PROTOCOL - A method is disclosed for automatically selecting a scanning protocol for a tomographic recording of an X-ray image of a patient in that at least one patient-specific value is retrieved in the internal memory of a first computer. The patient-specific value can in particular be a measure of the anticipated X-ray absorption by the patient. The method includes automatically comparing the patient-specific value with retrievably stored reference values, wherein one scanning protocol can be associated with each reference value. Finally, a scanning protocol is automatically selected by way of the first computer using the comparison. Selection is simplified by automation of selection of the scanning protocol since no manual selection of the scanning protocol has to be made. Automatic selection of a suitable scanning protocol is also quicker than a manual selection. | 03-26-2015 |
20150087957 | EARLY THERAPY RESPONSE ASSESSMENT OF LESIONS - For therapy response assessment, texture features are input for machine learning a classifier and for using a machine learnt classifier. Rather than or in addition to using formula-based texture features, data driven texture features are derived from training images. Such data driven texture features are independent analysis features, such as features from independent subspace analysis. The texture features may be used to predict the outcome of therapy based on a few number of or even one scan of the patient. | 03-26-2015 |
Patent application number | Description | Published |
20090003672 | Method for segmenting image data for detecting a liver - A method is disclosed for segmenting image data for detecting a liver of a subject under examination. In at least one embodiment, the method includes determining as rib pixels which represent a rib, determining pixels which delimit an area inside the rib cage, determining pixels which represent a pixel of the liver and determining a probability, for each pixel inside the rib cage, as to whether the pixel belongs to the liver or not, with the aid of a Random Walker method. | 01-01-2009 |
20090092305 | Method for detecting movements and correcting movements in tomographic and projective image series and tomography or projection system for implementing this method - A method is disclosed for detecting movements and correcting movements in tomographic and projective image series. Further, a tomography or projection system is further disclosed for implementing this method. In at least one embodiment, the temporal changes in an image series with a multiplicity of temporally subsequent image data records are determined and a transformation function for correcting movements is calculated using registration methods, by which movements can be eliminated. To this end, in at least one embodiment a motion detection algorithm recognizes and distinguishes scan volumes and times at which a movement or no movement occurs. Subsequently, in at least one embodiment an algorithm for correcting the movement in those scan volumes in which a movement was detected is implemented, with the correction referring to respectively representative image intervals. | 04-09-2009 |
20100158337 | METHOD AND DEVICE FOR PERFORMING A COMPARISON BETWEEN A LEFT AND A RIGHT HALF OF THE BRAIN OF A PATIENT - In order to compare a left and a right half of the brain of a patient on the basis of medical 2D or 3D image data records for determining the perfusion, the brain of the patient is subdivided into brain regions, wherein the number of brain regions is an even number n, a number n/2 of the brain regions being arranged in the right half of the brain and a number n/2 of the brain regions being arranged in the left half of the brain, with each of the brain regions arranged in the right half of the brain being unambiguously assigned to a brain region arranged in the left half of the brain, and the brain being subdivided by planes standing perpendicularly on a median sagittal plane. In at least one embodiment, the image data records are segmented, wherein brain image data records are generated which only include those picture elements of the image data records which represent the brain of the patient. In at least one embodiment, n partial image data records are determined in each of the brain image data records, wherein an m-th partial image data record only include those picture elements of the respective brain image data record, which represent an m-th of the n brain regions, with m=1 . . . n. In at least one embodiment, one or more characteristic values are calculated per m-th brain region by evaluating all m-th partial image data records according to a prescribed evaluation method. Finally, in at least one embodiment, the characteristic values of brain regions unambiguously assigned to one another are evaluated according to predetermined criteria for comparing the right and left half of the brain. | 06-24-2010 |
20100166281 | METHOD FOR DISTINGUISHING BETWEEN GRAY MATTER AND WHITE MATTER AND CT SYSTEM FOR CARRYING OUT THE METHOD - A method for distinguishing between gray matter and white matter starting from a time-dependent computed tomography image data record from a perfusion CT examination is disclosed. In at least one embodiment, a plurality of time-independent images are calculated from the time-dependent image data record, a plurality of threshold histogram analyses are performed in order to determine regions of the brain which can be assigned to one or more types of cerebral matter, and subsequently the region of gray matter is determined from the information obtained in respect of type and region of the cerebral matter using at least one logical combination and at least one exclusion method. A control and computational unit is also disclosed with a storage medium in which a computer program or program module is stored, which executes the described method during operation. | 07-01-2010 |
20110002520 | Method and System for Automatic Contrast Phase Classification - A method and system for classifying a contrast phase of a 3D medical image, such as a computed tomography (CT) image or a magnetic resonance (MR) image, is disclosed. A plurality of anatomic landmarks are detected in a 3D medical image. A local volume of interest is estimated at each of the plurality of anatomic landmarks, and features are extracted from each local volume of interest. The contrast phase of the 3D volume is determined based on the extracted features using a trained classifier. | 01-06-2011 |
20110007954 | Method and System for Database-Guided Lesion Detection and Assessment - A method and system for automatically detecting lesions in a 3D medical image, such as a CT image or an MR image, is disclosed. Body parts are detected in the 3D medical image. Anatomical landmarks, organs, and bone structures are detected in the 3D medical image based on the detected body parts. Search regions are defined in the 3D medical image based on the detected anatomical landmarks, organs, and bone structures. Lesions are detected in each search region using a trained region-specific lesion detector. | 01-13-2011 |
20120014559 | Method and System for Semantics Driven Image Registration - A method and system for automatic semantics driven registration of medical images is disclosed. Anatomic landmarks and organs are detected in a first image and a second image. Pathologies are also detected in the first image and the second image. Semantic information is automatically extracted from text-based documents associated with the first and second images, and the second image is registered to the first image based the detected anatomic landmarks, organs, and pathologies, and the extracted semantic information. | 01-19-2012 |
Patent application number | Description | Published |
20090319351 | Measuring the effectiveness of a person testimonial promotion - Behavioral targeting to push promotional offers to a person, such as an artist, celebrity, athlete, politician, of a fan-based network is provided. The selection and redemption of promotional offers can increase by providing persons of a fan-based network with relevant and high value offers. In addition, marketing campaigns can increase their effectiveness with knowledge and identification of persons having a high degree of influence on other persons. A person's measure of influence is determined by characterizations of the person's fans based on monitored actions of the fans. Relevant promotional offers can be targeted to a consumer based indirectly on the actions of the fans of the consumer in addition to the direct behavior of the consumer himself. The actions and behavior of a consumer and his or her fans can be tracked within the fan-based network setting. Pushing relevant and high value offers enables rapid and viral spread of offers. | 12-24-2009 |
20110131095 | Social network-driven cooperative characterization with non-social network sites - A system for cooperative characterization between a social network and computer systems outside the social network but operable within the social network system. Members of the social network are identified by a personal characteristic identifier readable by the outside computer systems. | 06-02-2011 |
20110131100 | Outside-in social network communication and promotion - A system for spreading promotional content into a social network environment from outside the social network is provided. A computer server system monitors information associated with the promotional content and the communication steps associated with the outside-in communication and further inside communications or spread of the promotional content. | 06-02-2011 |
20110131145 | Measuring engagement activities initiated by electronic word-of mouth referrals in social networks - A system is provided for assessing the historical engagement activities of a single user, and then altering the current presentation of engagement activities in accordance with a predetermined sequential series, or an algorithmic decision-tree, so that an optimized set of engagement options are presented to returning or recurring users. This system is capable of weighting each of the various engagement activities that have been clicked on by an individual, calculating an overall “engagement score”, and then presenting certain engagement activities based on that factor. | 06-02-2011 |
20110137736 | Using social network activity to characterize viewers across multiple internet activities - A system and method for characterizing viewers across multiple Internet activities is provided. A communication system communicates a personal identifier between a plurality of distant channels of promotions presented to a social network member of a social network communication system and a corresponding non-social network sponsoring business system of the promotions. A data analysis computer system tracks the personal identifier communications and generates a report to characterize the tracked data related to the promotions of the online non-social network sponsoring business system and the personal identifiers of the members. | 06-09-2011 |
20110302008 | Assessing engagement and influence using consumer-specific promotions in social networks - A system and method for assessing engagement activities and influence using consumer-specific promotions in a social network environment is provided. | 12-08-2011 |