Patents by Inventor Marcos Salganicoff

Marcos Salganicoff 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).

  • Publication number: 20170322684
    Abstract: A framework for automating clinical scoring for decision support is described herein. In accordance with one aspect, a patient record including corresponding medical image data is retrieved. The medical image data is processed to generate processed medical image data. A set of user interface screens is presented to guide a user through a clinical scoring questionnaire, wherein at least one of the user interface screens displays the processed medical image data. Responses to the clinical scoring questionnaire are received from the user via the set of user interface screens. A clinical score may be generated based at least in part on the responses. A clinical score report based on the clinical score may then be presented.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 9, 2017
    Inventors: Gerardo Hermosillo Valadez, Marcos Salganicoff, Brian Delmonego, Penny Reiman, Friedrich Fuchs
  • Publication number: 20160321414
    Abstract: A framework diagnostic test planning is described herein. In accordance with one aspect, the framework receives data representing one or more sample patients, diagnostic tests administered to the one or more sample patients, diagnostic test results and confirmed medical conditions associated with the administered diagnostic tests. The framework trains one or more classifiers based on the data to identify diagnostic test plans from the diagnostic tests. The one or more classifiers may then be applied to current patient data to generate a diagnostic test plan for a given patient.
    Type: Application
    Filed: April 21, 2016
    Publication date: November 3, 2016
    Inventors: Marcos Salganicoff, Xiang Sean Zhou, Gerardo Hermosillo Valadez, Luca Bogoni
  • Publication number: 20160321427
    Abstract: A framework for supporting therapy planning is described herein. In accordance with one aspect, patient-specific characteristics are extracted from medical data associated with a given patient. The framework may then search a database for one or more other patients associated with personal characteristics that are similar to the patient-specific characteristics. Information associated with the one or more other patients may be presented to support therapy planning or diagnosis.
    Type: Application
    Filed: April 4, 2016
    Publication date: November 3, 2016
    Inventors: Luca Bogoni, Marcos Salganicoff, Matthias Wolf, Xiang Sean Zhou, Yiqiang Zhan
  • Publication number: 20160321402
    Abstract: A framework for visualization based on healthcare guidelines is described herein. In accordance with one aspect, a decision graph is generated based on healthcare guidelines. The nodes of the decision graph are populated with patient records. The framework may perform data analytics on patient records associated with at least one of the nodes to generate results, and further generate a visualization of the results.
    Type: Application
    Filed: April 21, 2016
    Publication date: November 3, 2016
    Inventors: Xiang Sean Zhou, Marcos Salganicoff
  • Publication number: 20160300026
    Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
    Type: Application
    Filed: April 1, 2016
    Publication date: October 13, 2016
    Inventors: Luca Bogoni, Marcos Salganicoff, Matthias Wolf, Shu Liao, Yiqiang Zhan, Gerardo Hermosillo-Valadez, Xiang Sean Zhou, Zhigang Peng
  • Patent number: 9460510
    Abstract: Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location.
    Type: Grant
    Filed: March 29, 2013
    Date of Patent: October 4, 2016
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Gerardo Hermosillo Valadez, Marcos Salganicoff, Matthias Wolf, Xiang Sean Zhou, Yiqiang Zhan
  • Patent number: 9020235
    Abstract: Systems and methods for supporting a diagnostic workflow from a computer system are disclosed herein. In accordance with one implementation, a set of pre-identified anatomical landmarks associated with one or more structures of interest within one or more medical images are presented to a user. In response to a user input selecting at least one or more regions of interest including one or more of the pre-identified anatomical landmarks, the user is automatically navigated to the selected region of interest. In another implementation, a second user input selecting one or more measurement tools is received. An evaluation may be automatically determined based on one or more of the set of anatomical landmarks in response to the second user input.
    Type: Grant
    Filed: February 1, 2012
    Date of Patent: April 28, 2015
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Arun Krishnan, Marcos Salganicoff, Xiang Sean Zhou, Venkat Raghavan Ramamurthy, Luca Bogoni, Gerardo Hermosillo Valadez
  • Patent number: 8885898
    Abstract: Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.
    Type: Grant
    Filed: October 6, 2011
    Date of Patent: November 11, 2014
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Meizhu Liu, Le Lu, Vikas C. Raykar, Marcos Salganicoff, Matthias Wolf
  • Publication number: 20140294263
    Abstract: Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location.
    Type: Application
    Filed: March 29, 2013
    Publication date: October 2, 2014
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Gerardo Hermosillo Valadez, Marcos Salganicoff, Matthias Wolf, Xiang Sean Zhou, Yiqiang Zhan
  • Patent number: 8724866
    Abstract: Described herein is a framework for automatically classifying a structure in digital image data are described herein. In one implementation, a first set of features is extracted from digital image data, and used to learn a discriminative model. The discriminative model may be associated with at least one conditional probability of a class label given an image data observation Based on the conditional probability, at least one likelihood measure of the structure co-occurring with another structure in the same sub-volume of the digital image data is determined. A second set of features may then be extracted from the likelihood measure.
    Type: Grant
    Filed: December 8, 2010
    Date of Patent: May 13, 2014
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Marcos Salganicoff
  • Patent number: 8437521
    Abstract: Systems and methods for automatic accurate and efficient segmentation and identification of one or more vertebra in digital medical images using a coarse-to-fine segmentation.
    Type: Grant
    Filed: September 10, 2010
    Date of Patent: May 7, 2013
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Le Lu, Jun Ma, Marcos Salganicoff, Yiqiang Zhan, Xiang Sean Zhou
  • Publication number: 20120172700
    Abstract: Systems and methods for supporting a diagnostic workflow from a computer system are disclosed herein. In accordance with one implementation, a set of pre-identified anatomical landmarks associated with one or more structures of interest within one or more medical images are presented to a user. In response to a user input selecting at least one or more regions of interest including one or more of the pre-identified anatomical landmarks, the user is automatically navigated to the selected region of interest. In another implementation, a second user input selecting one or more measurement tools is received. An evaluation may be automatically determined based on one or more of the set of anatomical landmarks in response to the second user input.
    Type: Application
    Filed: February 1, 2012
    Publication date: July 5, 2012
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Arun Krishnan, Marcos Salganicoff, Xiang Sean Zhou, Venkat Raghavan Ramamurthy, Luca Bogoni, Gerardo Hermosillo Valadez
  • Patent number: 8184888
    Abstract: 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: Grant
    Filed: September 5, 2008
    Date of Patent: May 22, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
  • Publication number: 20120102523
    Abstract: A system and method for scheduling the receipt of desired movies and other forms of data from a network which simultaneously distributes many sources of such data to many customers, as in a cable television system. Customer profiles are developed for the recipient describing how important certain characteristics of the broadcast video program, movie or other data are to each customer. From these profiles, an “agreement matrix” is calculated by comparing the recipient's profiles to the actual profiles of the characteristics of the available video programs, movies, or other data. The agreement matrix thus characterizes the attractiveness of each video program, movie, or other data to each prospective customer. “Virtual” channels are generated from the agreement matrix to produce a series of video or data programming which will provide the greatest satisfaction to each customer.
    Type: Application
    Filed: May 26, 2011
    Publication date: April 26, 2012
    Inventors: Frederick Herz, Lyle Ungar, Jian Zhang, David Wachob, Marcos Salganicoff
  • Patent number: 8165369
    Abstract: A method for differentiating pulmonary nodules in digitized medical images includes identifying an object of interest from a digital image of the lungs, computing a first distance map of each point of the object of interest, determining a seed point from the first distance map, starting from the seed point, growing a first region by adding successive adjacent layers of points until a background point is reached, and partitioning the first region into a nodule region and a non-nodule region.
    Type: Grant
    Filed: October 1, 2008
    Date of Patent: April 24, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Toshiro Kubota, Anna Jerebko, Marcos Salganicoff
  • Patent number: 8160336
    Abstract: A computer-implemented method for identifying an object of interest includes providing input data including an image and a candidate for the object of interest in the image, extracting a boundary of the candidate, and extracting a segment of a region of interest containing the candidate. The method further includes determining a plurality of features of an extracted segment of the region of interest containing the candidate, and outputting the object of interest, wherein the object of interest is characterized by the plurality of features, wherein the object of interest and the plurality of features are stored as computer-readable code.
    Type: Grant
    Filed: September 6, 2006
    Date of Patent: April 17, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Jianming Liang, Zhiyun Xue, Marcos Salganicoff, Matthias Wolf
  • Publication number: 20120088981
    Abstract: Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.
    Type: Application
    Filed: October 6, 2011
    Publication date: April 12, 2012
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Meizhu Liu, Le Lu, Vikas C. Raykar, Marcos Salganicoff, Matthias Wolf
  • Patent number: 8126244
    Abstract: 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: Grant
    Filed: September 5, 2008
    Date of Patent: February 28, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
  • Patent number: 8068654
    Abstract: A method and system for detecting 3D objects in images is disclosed. In particular, a method and system for Ileo-Cecal Valve detection in 3D computed tomography (CT) images using incremental parameter learning and ICV specific prior learning is disclosed. First, second, and third classifiers are sequentially trained to detect candidates for position, scale, and orientation parameters of a box that bounds an object in 3D image. In the training of each sequential classifier, new training samples are generated by scanning the object's configuration parameters in the current learning projected subspace (position, scale, orientation), based on detected candidates resulting from the previous training step. This allows simultaneous detection and registration of a 3D object with full 9 degrees of freedom. ICV specific prior learning can be used to detect candidate voxels for an orifice of the ICV and to detect initial ICV box candidates using a constrained orientation alignment at each candidate voxel.
    Type: Grant
    Filed: February 1, 2008
    Date of Patent: November 29, 2011
    Assignee: Siemens Akteingesellschaft
    Inventors: Adrian Barbu, Le Lu, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
  • Patent number: 7961923
    Abstract: A method for detecting a substantially cylindrical internal structures and dark structures surrounded by bright intensity values (contrast) in a medical image includes acquiring a medical image. A gradient of the medical image is calculated. Local shape index information for the calculated gradient of the medical image is calculated. Gradient information having a local shape index not indicative of a ridge and rut shapes is removed. Diverging gradient field responses (DGFR) are calculated based on the remaining gradient information. The DGFR responses and relative amount of DGFR responses for the rut and ridge areas is used as a discriminative feature in detecting the substantially cylindrical internal structure as well as darker occluding structures within cylindrical structures such as Pulmonary Emboli.
    Type: Grant
    Filed: August 20, 2007
    Date of Patent: June 14, 2011
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Senthil Periaswamy, Marcos Salganicoff