Abstract: Methods and systems for automated motion correction of nuclear images are disclosed. A method includes receiving a first set of imaging data including a plurality if annihilation events detected during an imaging period and generating a plurality of four-dimensional volumetric images from the imaging data for the imaging period. Each four-dimensional volumetric image includes a target tissue. At least one motion correction is determined for each of the plurality of four-dimensional volumetric images. The at least one motion correction is determined using target tracking data generated for the target tissue over a time period associated with the four-dimensional volumetric image. Corrected image data is generated from the first set of imaging data and the at least one motion correction and at least one static reconstruction image including the target tissue during the imaging period is generated from the corrected image data.

Abstract: A framework for automatically finding an organ in image data. In accordance with one aspect, a predetermined view of the organ is approximated by transforming the original image data to generate transformed image data. A best-match region in the transformed image data that best matches a synthesized geometric shape may then be found. The best-match region may be transformed into a volume space of the original image data to generate a location of the organ.

Abstract: A framework for automatically finding an organ in image data. In accordance with one aspect, a predetermined view of the organ is approximated by transforming the original image data to generate transformed image data. A best-match region in the transformed image data that best matches a synthesized geometric shape may then be found. The best-match region may be transformed into a volume space of the original image data to generate a location of the organ.

Abstract: Methods and systems for automated motion correction of nuclear images are disclosed. A method includes receiving a first set of imaging data including a plurality if annihilation events detected during an imaging period and generating a plurality of four-dimensional volumetric images from the imaging data for the imaging period. Each four-dimensional volumetric image includes a target tissue. At least one motion correction is determined for each of the plurality of four-dimensional volumetric images. The at least one motion correction is determined using target tracking data generated for the target tissue over a time period associated with the four-dimensional volumetric image. Corrected image data is generated from the first set of imaging data and the at least one motion correction and at least one static reconstruction image including the target tissue during the imaging period is generated from the corrected image data.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: A roofing membrane includes first and second layers. The first layer includes a low surface energy polymer. A method of installing the roofing membrane includes, along an edge of a first membrane, mechanically removing a portion of the first membrane extending vertically to include the first layer and a portion of the second layer to leave a flap of the first membrane, placing an edge of a second membrane to overlap the first membrane, and bonding the first membrane to the second membrane. The underside of the edge of the second membrane overlies the flap of the first membrane.

Abstract: A roofing membrane includes first and second layers. The first layer includes a low surface energy polymer. A method of installing the roofing membrane includes, along an edge of a first membrane, mechanically removing a portion of the first membrane extending vertically to include the first layer and a portion of the second layer to leave a flap of the first membrane, placing an edge of a second membrane to overlap the first membrane, and bonding the first membrane to the second membrane. The underside of the edge of the second membrane overlies the flap of the first membrane.

Abstract: In devices and methods for calibrating nuclear medical and radiological images, an apparatus may be placed in the field of view of a region of interest to be imaged. The apparatus may include a background material with an attenuation characteristic substantially similar to a region of interest of an object being imaged. The background material may include one or more radioactive material embedded in the background material such that when the device is scanned substantially at the same time as the region of interest, the apparatus is a calibration tool.

Abstract: A phantom and associated method for calibrating registration in a multi-modal medical diagnostic imaging system are presented. The phantom features a plurality of emission point sources arranged in multiple parallel planes along the length of the phantom, with enough planes to allow mode registration to be calibrated over the length of an entire full-body scan. According to the method, calibration scans are performed at each of several scan positions along the length of the phantom, with at least two planes of emission point sources covered by the scan at each position.

Abstract: A phantom and associated method for calibrating registration in a multi-modal medical diagnostic imaging system are presented. The phantom features a plurality of emission point sources arranged in multiple parallel planes along the length of the phantom, with enough planes to allow mode registration to be calibrated over the length of an entire full-body scan. According to the method, calibration scans are performed at each of several scan positions along the length of the phantom, with at least two planes of emission point sources covered by the scan at each position.

Abstract: A method of manufacturing a multiple layer circuit board with stacked vias of fine dimension and pitch. A base laminate with conductive pattern is coated with a dielectric which is photolithographically processed to create holes exposing selected regions of the underlying conductive pattern. The holes through the dielectric are plated to form via connections between the surface and the conductive pattern on the base laminate. The recess created by the via is filled with a conductive and plateable polymer which upon curing forms a conductive plug. A second dielectric layer is deposited on the board structure and in succession photolithographically processed to expose the underlying plated via and plug. The hole in the second dielectric is plated and filled with conductive polymer so as to create a second via vertically aligned with and electrically connected to the underlying first via.

Abstract: A method of manufacturing a multiple layer circuit board with stacked vias of fine dimension and pitch. A base laminate with conductive pattern is coated with a dielectric which is photolithographically processed to create holes exposing selected regions of the underlying conductive pattern. The holes through the dielectric are plated to form via connections between the surface and the conductive pattern on the base laminate. The recess created by the via is filled with a conductive and plateable polymer which upon curing forms a conductive plug. A second dielectric layer is deposited on the board structure and in succession photolithographically processed to expose the underlying plated via and plug. The hole in the second dielectric is plated and filled with conductive polymer so as to create a second via vertically aligned with and electrically connected to the underlying first via.