Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: A system for determining positional information of a camera, includes: a plane determination module configured to determine a first plane and a second plane based on a depth image; a plane-association module configured to associate the first plane determined by the plane determination module with a first tool-plane, and to associate the second plane determined by the plane determination module with a second tool-plane, the first and second tool-planes having known positional relationship with respect to each other; and a positional determination unit configured to determine the positional information of the camera based on an output from the plane-association module.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: A system for determining positional information of a camera, includes: a plane determination module configured to determine a first plane and a second plane based on a depth image; a plane-association module configured to associate the first plane determined by the plane determination module with a first tool-plane, and to associate the second plane determined by the plane determination module with a second tool-plane, the first and second tool-planes having known positional relationship with respect to each other; and a positional determination unit configured to determine the positional information of the camera based on an output from the plane-association module.

Abstract: A method of detecting a possible collision in a medical procedure that involves a medical system, includes: obtaining an image of a patient that is supported on a patient support; determining a first model using a processing unit based at least in part on the image, at least a part of the first model representing a surface of the patient; determining a second model using the processing unit, the second model representing a first component of the medical system; virtually moving the first model, the second model, or both, using a collision prediction mechanism to simulate a movement of the first component of the medical system to determine whether there is a possible collision between the first component and the patient; and generating an output to indicate the possible collision or an absence of the possible collision.

Abstract: A method of detecting a possible collision in a medical procedure that involves a medical system, includes: obtaining an image of a patient that is supported on a patient support; determining a first model using a processing unit based at least in part on the image, at least a part of the first model representing a surface of the patient; determining a second model using the processing unit, the second model representing a first component of the medical system; virtually moving the first model, the second model, or both, using a collision prediction mechanism to simulate a movement of the first component of the medical system to determine whether there is a possible collision between the first component and the patient; and generating an output to indicate the possible collision or an absence of the possible collision.

Abstract: An image processing method includes: obtaining an input image; enhancing an object in the input image; and after the input image is enhanced, applying a low-pass filter using a processor to obtain a processed image. A computer product includes a non-transitory medium storing a set of instructions, an execution of which causes a method to be performed, the method comprising: obtaining an input image; enhancing an object in the input image; and after the input image is enhanced, applying a low-pass filter to obtain a processed image.

Abstract: An image processing method includes: obtaining an input image; enhancing an object in the input image; and after the input image is enhanced, applying a low-pass filter using a processor to obtain a processed image. A computer product includes a non-transitory medium storing a set of instructions, an execution of which causes a method to be performed, the method comprising: obtaining an input image; enhancing an object in the input image; and after the input image is enhanced, applying a low-pass filter to obtain a processed image.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: An apparatus and method of localization of a target using in vivo markers is described. The method may include adjusting a position of a target volume within the body relative to a treatment beam using the in vivo markers.

Abstract: A method for determining a position of a target includes obtaining a first image of the target, obtaining a second image of the target, wherein the first and the second images have different image planes and are generated at different times, processing the first and second images to determine whether the target in the first image corresponds spatially with the target in the second image, and determining the position of the target based on a result of the act of processing. Systems and computer products for performing the method are also described.

Abstract: Disclosed herein are a system for collecting a sample and optionally detecting or analyzing an electrical property thereof, the method comprising: means for obtaining a sample in a sample container; means for directing the sample into a sensing chamber in fluid communication with the sample container, the sensing chamber comprising a plurality of sensing chamber electrodes positioned at the sensing chamber and configured to be in contact with the sample when the sample is directed into the sensing chamber; means for applying an electrical signal to the sample with a read-out analyzer via the plurality of sensing chamber electrodes; the plurality of sensing chamber electrodes in operable communication with the read-out analyzer; and means for detecting the effect of the sample on the electrical signal, thereby determining an electrical property of the sample.

Abstract: A routing system receives an instant message (IM) from a user via an IM service. The IM contains a source address associated with the IM user and a destination address associated with a contact in the IM user's “buddy” list. A temporary mobile device number is allocated to the IM user. The IM is converted to a text message suitable for delivery to the selected contact's mobile device via a short message service, whereby the temporary mobile device number allocated to the IM user is the source address of the text message. Upon receipt of the text message, the contact may compose and send a reply text message to the IM user via the temporary mobile device number. The reply text message is routed to the IM user via an IM service based on the temporary mobile device number allocated to the IM user.

Abstract: Correlating activity events to identify a root cause of a process failure. Activity event data is received from a process executing on a computing device. The activity event data corresponds to a plurality of activity events. Each of the activity events has a correlation identifier, a resolution status, and an occurrence time value associated therewith. Each of the activity events are assigned to one of a plurality of event groups based on the correlation identifier of the activity event. Thereafter, at least one of the event groups is determined to have an activity event with a resolution status indicating failure of the process. One of the activity events within the determined event group is selected as a root cause activity event based on the occurrence time values. In some embodiments, the root cause activity event is identified to a user of the computing device.

Abstract: Correlating activity events to identify a root cause of a process failure. Activity event data is received from a process executing on a computing device. The activity event data corresponds to a plurality of activity events. Each of the activity events has a correlation identifier, a resolution status, and an occurrence time value associated therewith. Each of the activity events are assigned to one of a plurality of event groups based on the correlation identifier of the activity event. Thereafter, at least one of the event groups is determined to have an activity event with a resolution status indicating failure of the process. One of the activity events within the determined event group is selected as a root cause activity event based on the occurrence time values. In some embodiments, the root cause activity event is identified to a user of the computing device.

Abstract: Disclosed herein are a system for collecting a sample and optionally detecting or analyzing an electrical property thereof, the method comprising: means for obtaining a sample in a sample container; means for directing the sample into a sensing chamber in fluid communication with the sample container, the sensing chamber comprising a plurality of sensing chamber electrodes positioned at the sensing chamber and configured to be in contact with the sample when the sample is directed into the sensing chamber; means for applying an electrical signal to the sample with a read-out analyzer via the plurality of sensing chamber electrodes; the plurality of sensing chamber electrodes in operable communication with the read-out analyzer; and means for detecting the effect of the sample on the electrical signal, thereby determining an electrical property of the sample.

Abstract: A method of determining a geometric parameter of a machine includes using the machine to obtain an image of at least a portion of a structure, the structure having a plurality of markers, wherein the markers have predetermined position(s) relative to each other, determining a position of the structure based on a pattern of the markers in the image, and determining a geometric parameter of the machine based at least in part on the determined position of the structure.