Patents by Inventor Sarang Lakare
Sarang Lakare has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 8447081Abstract: A method for automatically detecting pulmonary embolism (PE) candidates within medical image data using an image processing device includes administering radiocontrast into a patient. A sequence of computed tomography (CT) images is acquired. A level of radiocontrast at a pulmonary artery trunk of the patient is determined. One or more PE candidates are detected within a pulmonary artery tree of the patient based on the determined level of radiocontrast at the pulmonary artery trunk. The one or more detected PE candidates are displayed.Type: GrantFiled: October 14, 2009Date of Patent: May 21, 2013Assignees: Siemens Medical Solutions USA, Inc., Siemens Information Systems, Ltd.Inventors: Sarang Lakare, Dinesh Mysore Siddu
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Patent number: 8265390Abstract: Described herein is a method and system for facilitating segmentation of images. A difference image is received and processed to extract at least one histogram (402). A noise component is determined by fitting a symmetric Gaussian distribution to the extracted histogram such that the negative portion of the Gaussian distribution coincides with the negative portion of the histogram (403). The noise component is then subtracted from the histogram to generate a probability distribution function (404), which may be converted to a cumulative distribution function (406) and applied to the difference image to generate a probabilistic representation of contrast enhancement (408).Type: GrantFiled: September 8, 2009Date of Patent: September 11, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventors: Shishir Dube, Sarang Lakare, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa
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Patent number: 8213696Abstract: A method for obtaining a tissue volume, includes inputting a dataset including a plurality of voxels; initializing a tissue probability volume for the plurality of voxels to a pre-determined value; updating, by one of increasing or decreasing the tissue probability volume of each of the plurality of voxels, based on corresponding intensity values of each of the plurality of voxels; and generating the tissue volume by combining the updated tissue probability volume and the inputted dataset.Type: GrantFiled: July 10, 2008Date of Patent: July 3, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventor: Sarang Lakare
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Patent number: 8184888Abstract: A method and system for polyp segmentation in computed tomography colonogrphy (CTC) volumes is disclosed. The polyp segmentation method utilizes a three-staged probabilistic binary classification approach for automatically segmenting polyp voxels from surrounding tissue in CTC volumes. Based on an input initial polyp position, a polyp tip is detected in a CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary.Type: GrantFiled: September 5, 2008Date of Patent: May 22, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventors: Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
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Patent number: 8160367Abstract: A method for characterizing a shape of an object surface includes acquiring image data including the object. The image data is analyzed at a locus of points that are at a predetermined distance from a point of interest proximate to the object surface to determine which of the locus of points represents a foreground and which of the locus of points represents a background. The shape of the object surface is characterized based on the characterization of the locus of points.Type: GrantFiled: January 23, 2008Date of Patent: April 17, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventor: Sarang Lakare
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Patent number: 8126244Abstract: A method and system for providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary.Type: GrantFiled: September 5, 2008Date of Patent: February 28, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventors: Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
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Patent number: 8073217Abstract: A method for segmenting image data includes creating a plurality of marching regions within the medical image data. Region-wise segmentation is performed on the plurality of marching regions. Region-wise segmentation may include a normalized cut performed on a graph wherein each marching region represents a node. Region-wise segmentation may also include or may alternatively include a min cut performed on a graph wherein each marching region represents a node. Voxel-wise segmentation is performed on a subset of the plurality of marching regions.Type: GrantFiled: October 28, 2008Date of Patent: December 6, 2011Assignee: Siemens Medical Solutions USA, Inc.Inventors: Hui Sun, Sangmin Park, Sarang Lakare
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Patent number: 8031917Abstract: A method for displaying computer aided detection markers from a digitized image includes marking a first set of locations of interest during a first read of the image, producing a first set of markers, receiving a second set of markers of locations of interest on the image from a CAD algorithm, combining the first set of markers with the second set of markers, sorting the combined set of markers according to a predetermined criteria, and presenting the sorted set of markers to a user for a second read of the image.Type: GrantFiled: March 21, 2006Date of Patent: October 4, 2011Assignee: Siemens Medical Solutions USA, Inc.Inventor: Sarang Lakare
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Patent number: 7876947Abstract: A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.Type: GrantFiled: October 2, 2008Date of Patent: January 25, 2011Assignee: Siemens Medical Solutions USA, Inc.Inventors: Tin Man Lee, Sarang Lakare, Matthias Wolf
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Publication number: 20100166276Abstract: Described herein is a method and system for facilitating segmentation of images. A difference image is received and processed to extract at least one histogram (402). A noise component is determined by fitting a symmetric Gaussian distribution to the extracted histogram such that the negative portion of the Gaussian distribution coincides with the negative portion of the histogram (403). The noise component is then subtracted from the histogram to generate a probability distribution function (404), which may be converted to a cumulative distribution function (406) and applied to the difference image to generate a probabilistic representation of contrast enhancement (408).Type: ApplicationFiled: September 8, 2009Publication date: July 1, 2010Inventors: Shishir Dube, Gerardo Hermosillo Valadez, Sarang Lakare, Yoshihisa Shinagawa
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Patent number: 7706600Abstract: Virtual navigation (2255) and examination of virtual objects are enhanced using methods of insuring that an entire surface to be examined has been properly viewed. A user interface (FIG. 23) identifies regions which have not been subject to examination and provides a mechanism (2250) to route the user to these regions in the 3D display. Virtual examination is further improved by the use of measuring disks (905) to enhance quantitative measurements such as diameter, distance, volume and angle. Yet another enhancement to the virtual examination of objects is a method of electronic segmentation, or cleaning, which corrects for partial volume effects occurring in an object.Type: GrantFiled: October 2, 2001Date of Patent: April 27, 2010Assignee: The Research Foundation of State University of New YorkInventors: Kevin Kreeger, Sarang Lakare, Zhenrong Liang, Mark R. Wax, Ingmar Bitter, Frank Dachille, Dongqing Chen, Arie E. Kaufman
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Publication number: 20100098308Abstract: A method for automatically detecting pulmonary embolism (PE) candidates within medical image data using an image processing device includes administering radiocontrast into a patient. A sequence of computed tomography (CT) images is acquired. A level of radiocontrast at a pulmonary artery trunk of the patient is determined. One or more PE candidates are detected within a pulmonary artery tree of the patient based on the determined level of radiocontrast at the pulmonary artery trunk. The one or more detected PE candidates are displayed.Type: ApplicationFiled: October 14, 2009Publication date: April 22, 2010Applicant: Siemens CorporationInventors: Sarang Lakare, Dinesh Mysore Siddu
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Publication number: 20090309874Abstract: A method for displaying pre-rendered medical images on a workstation includes receiving three-dimensional medical image data. A region of suspicion is automatically identified within the three-dimensional medical image data. A rendering workstation is used to pre-render the three-dimensional medical image data into a sequence of two-dimensional images in which the identified region of suspicion is featured from a vantage point that is automatically selected to maximize diagnostic value of the two-dimensional images for determining whether the region of suspicion is an actual abnormality. The sequence of pre-rendered two-dimensional images is then stored in a PACS, where it can then be displayed on a viewing workstation.Type: ApplicationFiled: April 8, 2009Publication date: December 17, 2009Applicant: Siemens Medical Solutions USA, Inc.Inventors: Marcos Salganicoff, Arun Krishnan, Sarang Lakare
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Patent number: 7634133Abstract: A system and method for segmentation of structures in an image based on curvature slope are provided, the system including a processor, a curvature slope unit in signal communication with the processor for computing curvature slopes in the image and discarding voxels having a slope not satisfying specifications, and a segmentation unit in signal communication with the processor for locating connected clusters of retained voxels; and the method including computing curvature slopes in the image, discarding voxels having a slope not satisfying specifications, and locating connected clusters of retained voxels.Type: GrantFiled: March 2, 2005Date of Patent: December 15, 2009Assignee: Siemens Medical Solutions USA, Inc.Inventors: Anna Jerebko, Luca Bogoni, Sarang Lakare
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Patent number: 7609876Abstract: A computer-implemented method for aligning sub-volumes includes receiving a data volume, providing a plurality of parameters of the sub-volumes, and determining a start point of each of the two or more sub-volume according to the plurality of parameters. The method further includes determining an amount of mis-alignment of the two or more sub-volumes, and shifting a start point of each sub-volume to align the start points with a grid of a virtual volume. The method may include determining a feature in the two or more sub-volumes, which have been aligned. The method may include visualizing the aligned sub-volumes.Type: GrantFiled: October 21, 2005Date of Patent: October 27, 2009Assignee: Siemens Medical Solutions USA, Inc.Inventors: Sarang Lakare, Luca Bogoni
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Publication number: 20090116709Abstract: A method for segmenting image data includes creating a plurality of marching regions within the medical image data. Region-wise segmentation is performed on the plurality of marching regions. Region-wise segmentation may include a normalized cut performed on a graph wherein each marching region represents a node. Region-wise segmentation may also include or may alternatively include a min cut performed on a graph wherein each marching region represents a node. Voxel-wise segmentation is performed on a subset of the plurality of marching regions.Type: ApplicationFiled: October 28, 2008Publication date: May 7, 2009Applicant: Siemens Medical Solutions USA, IncInventors: Hui Sun, Sangmin Park, Sarang Lakare
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Publication number: 20090097728Abstract: A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.Type: ApplicationFiled: October 2, 2008Publication date: April 16, 2009Applicant: Siemens Medical Solutions USA, Inc.Inventors: Tin Man Lee, Sarang Lakare, Matthias Wolf
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Publication number: 20090080747Abstract: A method and system for providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary.Type: ApplicationFiled: September 5, 2008Publication date: March 26, 2009Inventors: Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
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Publication number: 20090074272Abstract: A method and system for polyp segmentation in computed tomography colonogrphy (CTC) volumes is disclosed. The polyp segmentation method utilizes a three-staged probabilistic binary classification approach for automatically segmenting polyp voxels from surrounding tissue in CTC volumes. Based on an input initial polyp position, a polyp tip is detected in a CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary.Type: ApplicationFiled: September 5, 2008Publication date: March 19, 2009Inventors: Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
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Patent number: 7492968Abstract: A system and method for segmenting a structure of interest are provided. The method comprises: segmenting a surface of the structure of interest; and interpolating a border of the structure of interest, wherein the border separates the structure of interest from other structures having similar properties.Type: GrantFiled: August 19, 2005Date of Patent: February 17, 2009Assignee: Siemens Medical Solutions USA, Inc.Inventors: Anna Jerebko, Luca Bogoni, Sarang Lakare