Abstract: Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina.

Abstract: An object processing system is disclosed for dynamically providing the removal of objects from a trailer of a tractor trailer. The object processing system includes a load assessment system for assessing a load characteristic of a plurality of objects within the trailer and for providing load assessment data representative of the load characteristic, an object assessment system for assessing a relative position and relative environment of an object of the plurality of objects responsive to the load assessment data, and for providing object assessment data for the object, and a dynamic engagement system for dynamically engaging the objects within the trailer with either of at least two different engagement systems responsive to the object assessment data.

Abstract: An object processing system is disclosed for facilitating removal of objects from a trailer of a tractor trailer. The object processing system includes an object obstruction detection system for identifying an obstruction during removal of objects, a force application system for applying any of a plurality of defined forces to the obstruction, an assessment system for collecting force feedback information responsive to the application of force to the obstruction and providing assessment information, and a control system for providing a removal model for removing the obstruction based on the assessment information.

Abstract: Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina.

Abstract: Techniques for linking geometry extracted from one or more medical images, the geometry including a plurality of geometric objects each having parameter values including at least one value for location and at least one value for direction/orientation, the plurality of geometric objects comprising a target geometric object and at least two candidate geometric objects, the techniques include: (A) comparing parameter values of the target geometric object with parameter values of the at least two candidate geometric objects, (B) selecting one of the at least two candidate geometric objects to link to the target geometric object based, at least in part, on the comparison; and (C) linking the to target geometric object with the selected candidate geometric object.

Abstract: A system and method for diagnosing retina disease is disclosed. The method comprises capturing a plurality of images of the vascular network within the retina, such as through the use of optical coherence tomography (OCT). This plurality of images are then processed to determine the location and diameter of each vessel in the three-dimensional vascular network in the retina. The vascular network is then divided into a plurality of equal unit volumes. The vessel density, vascular volume density and other metrics can then be determined for each unit volume. This information can then be used to identify retina disease. The information can be parsed and presented in a variety of ways.

Abstract: A system and method for diagnosing retina disease is disclosed. The method comprises capturing a plurality of images of the vascular network within the retina, such as through the use of optical coherence tomography (OCT). This plurality of images are then processed to determine the location and diameter of each vessel in the three-dimensional vascular network in the retina. The vascular network is then divided into a plurality of equal unit volumes. The vessel density, vascular volume density and other metrics can then be determined for each unit volume. This information can then be used to identify retina disease. The information can be parsed and presented in a variety of ways.

Abstract: According to some aspects, a method of identifying a boundary of a portion of a vasculature is provided, the vasculature comprising a geometric representation of a plurality of vessels. The method comprises logically dividing the geometric representation into a plurality of regions, determining at least one feature within each of the plurality of regions, and defining the boundary of the portion of the vasculature based, at least in part, on the at least one feature determined within each of the plurality of regions, wherein the boundary forms a volume defining a separation between inside and outside of the portion of the vasculature. According to some aspects, a method of performing vascular analysis using a geometric representation of a plurality of vessels of the vasculature is provided.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: A system and method for diagnosing retina disease is disclosed. The method comprises capturing a plurality of images of the vascular network within the retina, such as through the use of optical coherence tomography (OCT). This plurality of images are then processed to determine the location and diameter of each vessel in the three-dimensional vascular network in the retina. The vascular network is then divided into a plurality of equal unit volumes. The vessel density, vascular volume density and other metrics can then be determined for each unit volume. This information can then be used to identify retina disease. The information can be parsed and presented in a variety of ways.

Abstract: Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina.

Abstract: Techniques for linking geometry extracted from one or more medical images, the geometry including a plurality of geometric objects each having parameter values including at least one value for location and at least one value for direction/orientation, the plurality of geometric objects comprising a target geometric object and at least two candidate geometric objects, the techniques include: (A) comparing parameter values of the target geometric object with parameter values of the at least two candidate geometric objects, (B) selecting one of the at least two candidate geometric objects to link to the target geometric object based, at least in part, on the comparison; and (C) linking the to target geometric object with the selected candidate geometric object.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: Techniques for linking geometry extracted from one or more medical images, the geometry including a plurality of geometric objects each having parameter values including at least one value for location and at least one value for direction/orientation, the plurality of geometric objects comprising a target geometric object and at least two candidate geometric objects, the techniques include: (A) comparing parameter values of the target geometric object with parameter values of the at least two candidate geometric objects, (B) selecting one of the at least two candidate geometric objects to link to the target geometric object based, at least in part, on the comparison; and (C) linking the target geometric object with the selected candidate geometric object.

Abstract: According to some aspects, a method of identifying a boundary of a portion of a vasculature is provided, the vasculature comprising a geometric representation of a plurality of vessels. The method comprises logically dividing the geometric representation into a plurality of regions, determining at least one feature within each of the plurality of regions, and defining the boundary of the portion of the vasculature based, at least in part, on the at least one feature determined within each of the plurality of regions, wherein the boundary forms a volume defining a separation between inside and outside of the portion of the vasculature. According to some aspects, a method of performing vascular analysis using a geometric representation of a plurality of vessels of the vasculature is provided.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: The present invention discloses a method for processing a call signal of a mobile phone, the method includes detecting a current call state of the mobile phone; acquiring an environmental noise signal when the mobile phone enters an earphone call state; and performing a noise reduction processing to a call signal according to the environmental noise signal for acquiring a call signal with the noise reduction processing. The present invention further discloses a mobile phone. The present invention is capable of ensuring that a user is not affected by environmental noises for guaranteeing a better quality of a call when the user makes the call with an earphone.

Abstract: The present invention discloses a method for processing a call signal of a mobile phone, the method includes detecting a current call state of the mobile phone; acquiring an environmental noise signal when the mobile phone enters an earphone call state; and performing a noise reduction processing to a call signal according to the environmental noise signal for acquiring a call signal with the noise reduction processing. The present invention further discloses a mobile phone. The present invention is capable of ensuring that a user is not affected by environmental noises for guaranteeing a better quality of a call when the user makes the call with an earphone.