Abstract: Techniques are provided for imaging a subject. The method may comprise receiving an indication to image the subject using an magnetic resonance imaging (MRI) system, and in response to receiving the indication, with at least one controller: generating, using at least one RF coil, an initial MR data set for generating an initial image of the subject; determining, using the initial MR image, a difference in orientation between a current orientation of the subject in the initial MR image and a target orientation of the subject; determining, using the determined difference in orientation, an adjustment to a gradient pulse sequence for controlling at least one gradient coil; applying the determined adjustment to the gradient pulse sequence to obtain an adjusted gradient pulse sequence; generating an adjusted MR data set using the adjusted gradient pulse sequence; and generating a second MR image of the subject using the adjusted MR data set.

Abstract: Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file.

Abstract: Techniques are provided for imaging a subject. A magnetic resonance imaging (MRI) system may use at least one RF coil to generate an initial MR data set for an initial image of the subject. The MRI system may use the initial MR image to determine a difference in orientation between a current orientation of the subject in the initial MR image and a target orientation of the subject. The MRI system may use the determined difference in orientation to determine an adjustment to a gradient pulse sequence for controlling at least one gradient coil. The MRI system may apply the determined adjustment to the gradient pulse sequence to obtain an adjusted gradient pulse sequence. The MRI system may generate an adjusted MR data set using the adjusted gradient pulse sequence, and a second MR image of the subject using the adjusted MR data set.

Abstract: Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file.

Abstract: Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file.

Abstract: Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file.

Abstract: Techniques are provided for imaging a subject. The method may comprise receiving an indication to image the subject using an magnetic resonance imaging (MRI) system, and in response to receiving the indication, with at least one controller: generating, using at least one RF coil, an initial MR data set for generating an initial image of the subject; determining, using the initial MR image, a difference in orientation between a current orientation of the subject in the initial MR image and a target orientation of the subject; determining, using the determined difference in orientation, an adjustment to a gradient pulse sequence for controlling at least one gradient coil; applying the determined adjustment to the gradient pulse sequence to obtain an adjusted gradient pulse sequence; generating an adjusted MR data set using the adjusted gradient pulse sequence; and generating a second MR image of the subject using the adjusted MR data set.

Abstract: System and methods for massive data management and tagging are disclosed herein. A method for automated file linking can include creating a sample set of files from a set of files, at least some of the files including metadata. The method can include identifying common metadata between files in the sample set of files from the file set, and identifying at least one link, one of which links can include the common metadata between files in the sample set of files. The method can include identifying files in the set of files, each of the identified files containing the link in their metadata, generating an association between the files containing the link in their metadata, and storing the association between the files containing the link in their metadata.

Abstract: Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file.

Abstract: Image registration is described. In an embodiment an image registration system executes automatic registration of images, for example medical images. In an example, semantic information is computed for each of the images to be registered comprising information about the types of objects in the images and the certainty of that information. In an example a mapping is found to register the images which takes into account the intensities of the image elements as well as the semantic information in a manner which is weighted by the certainty of that semantic information. For example, the semantic information is computed by estimating posterior distributions for the locations of anatomical structures by using a regression forest and transforming the posterior distributions into a probability map. In an example the mapping is found as a global point of inflection of an energy function, the energy function having a term related to the semantic information.

Abstract: Medical image rendering is described. In an embodiment a medical image visualization engine receives results from an organ recognition system which provide estimated organ centers, bounding boxes and organ classification labels for a given medical image. In examples the visualization engine uses the organ recognition system results to select appropriate transfer functions, bounding regions, clipping planes and camera locations in order to optimally view an organ. For example, a rendering engine uses the selections to render a two-dimensional image of medical diagnostic quality with minimal user input. In an embodiment a graphical user interface populates a list of organs detected in a medical image and a clinician is able to select one organ and immediately be presented with the optimal view of that organ. In an example opacity of background regions of the medical image may be adjusted to provide context for organs presented in a foreground region.

Abstract: Image registration is described. In an embodiment an image registration system executes automatic registration of images, for example medical images. In an example, semantic information is computed for each of the images to be registered comprising information about the types of objects in the images and the certainty of that information. In an example a mapping is found to register the images which takes into account the intensities of the image elements as well as the semantic information in a manner which is weighted by the certainty of that semantic information. For example, the semantic information is computed by estimating posterior distributions for the locations of anatomical structures by using a regression forest and transforming the posterior distributions into a probability map. In an example the mapping is found as a global point of inflection of an energy function, the energy function having a term related to the semantic information.

Abstract: Medical image rendering is described. In an embodiment a medical image visualization engine receives results from an organ recognition system which provide estimated organ centers, bounding boxes and organ classification labels for a given medical image. In examples the visualization engine uses the organ recognition system results to select appropriate transfer functions, bounding regions, clipping planes and camera locations in order to optimally view an organ. For example, a rendering engine uses the selections to render a two-dimensional image of medical diagnostic quality with minimal user input. In an embodiment a graphical user interface populates a list of organs detected in a medical image and a clinician is able to select one organ and immediately be presented with the optimal view of that organ. In an example opacity of background regions of the medical image may be adjusted to provide context for organs presented in a foreground region.

Abstract: A system and method for processing data on user interactions with a workstation. The system comprises an information system that includes a data storage device. An audio microphone capable of capturing workstation user voice data is linked to the information system. An eye-tracking device capable of capturing workstation user eye-movement data is linked to the information system. A display screen capture routine capable of capturing video display data from a workstation display is linked to the information system. A user input capture routine capable of capturing input data entered into the workstation by the workstation user is linked to the information system. The voice data, eye-movement data, video display data and input data for the workstation user are captured simultaneously and the data are recorded on the data storage device with time information that allows synchronization of the data.