# US 2015/0146950 A1 · Methods and apparatus to estimate ventricular volumes > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2015/0146950 A1 - Document ID: US20150146950A1 - Status: Published application - Kind: A1 - Application number: 14/092,453 - Filed: 2013-11-27 - Published: 2015-05-28 - Earliest claimed: 2013-11-27 - Assignees: General Electric Company - Applicants: General Electric Company - Inventors: Zhijie Wang; Shuo Li; Ali Islam; Aashish Goela - Web page: https://patentgrep.com/patent/US20150146950A1 ## CPC - A61B 5/02028: {Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction} - A61B 5/055: involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging - A61B 5/1073: {Measuring volume, e.g. of limbs} - A61B 5/1075: {for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer (A61B8/0858 takes precedence)} - G06T 7/0014: {using an image reference approach} - A61B 5/72: {Signal processing specially adapted for physiological signals or for diagnostic purposes} - G06T 2207/10088: Magnetic resonance imaging [MRI] - G06T 2207/20104: Interactive definition of region of interest [ROI] - G06T 2207/30048: Heart; Cardiac - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract Methods and apparatus to estimate ventricular volumes are disclosed. An example computer-implemented method includes preparing a sample set using a prior probability model for a left ventricle and a right ventricle and using a likelihood function to assign a weight to each sample within the sample set. The example method also includes, based on the weighted sample set, determining an area of the right ventricle and the left ventricle. ## Claims ### Claim 1 A computer-implemented method, comprising: preparing a sample set using a prior probability model for a left ventricle and a right ventricle; using a likelihood function to assign a weight to each sample within the sample set; and based on the weighted sample set, determining an area of the right ventricle and the left ventricle. ### Claim 2 (depends on 1) The method of claim 1, wherein the area comprises a first area associated with the left ventricle and a second area associated with the right ventricle. ### Claim 3 (depends on 1) The method of claim 1, further comprising, based on the area of the left ventricle and the right ventricle, determining a volume of the left ventricle and the right ventricle. ### Claim 4 (depends on 1) The method of claim 1, wherein the sample set is associated with a plurality of frames of a magnetic resonance imaging (MRI) series. ### Claim 5 (depends on 1) The method of claim 1, further comprising automatically generating a medical report in which the determined area is included. ### Claim 6 (depends on 1) The method of claim 1, further comprising generating a representation of the left ventricle and the right ventricle based on the area. ### Claim 7 (depends on 1) The method of claim 1, wherein the prior probability model uses correlating information between the left ventricle and the right ventricle. ### Claim 8 A method, comprising: receiving an input associated with an image including a left ventricle and a right ventricle; based on the input, automatically identifying a region of interest on the image; using the region of interest, preparing a sample set using a prior probability model for the left ventricle and the right ventricle; using a likelihood function to assign a weight to each sample within the sample set; and based on the weighted sample set, determining an area of the left ventricle and the right ventricle. ### Claim 9 (depends on 8) The method of claim 8, wherein receiving the input comprising receiving an input identifying a first intersection and a second intersection between the left ventricle and the right ventricle. ### Claim 10 (depends on 9) The method of claim 9, wherein the first intersection and the second intersection is automatically identified. ### Claim 11 (depends on 10) The method of claim 10, wherein the first intersection and the second intersection is automatically identified by automatically identifying the left ventricle and the right ventricle based on movement of the left ventricle and the right ventricle in a plurality of frames of a magnetic resonance imaging (MRI) series. ### Claim 12 (depends on 9) The method of claim 9, wherein the first intersection and the second intersection is received from a user input. ### Claim 13 (depends on 8) The method of claim 8, wherein the area comprises a first area associated with the left ventricle and a second area associated with the right ventricle. ### Claim 14 (depends on 8) The method of claim 8, further comprising, based on the area of the left ventricle and the right ventricle, determining a volume of the left ventricle and the right ventricle. ### Claim 15 (depends on 8) The method of claim 8, wherein the sample set is associated with a plurality of frames of a magnetic resonance imaging (MRI) series. ### Claim 16 A system, comprising: a processor, wherein in response to receiving a first input associated with an image including a left ventricle and a right ventricle, the processor is to automatically identify a region of interest on the image, based on the region of interest, the processor is to generate a sample set using a prior probability model for the left ventricle and the right ventricle, the processor to determine and use a likelihood function to assign a weight to each sample within the sample set, the processor to determine an area of the left ventricle and the right ventricle. ### Claim 17 (depends on 16) The system of claim 16, further comprising a data store in which the determined area is stored. ### Claim 18 (depends on 16) The system of claim 16, wherein the processor is to further determine a volume of the left ventricle and the right ventricle based on the determined area. ### Claim 19 (depends on 16) The system of claim 16, wherein the area comprises a first area associated with the left ventricle and a second area associated with the right ventricle. ### Claim 20 (depends on 16) The system of claim 16, wherein the processor is to further generate a representation of the left ventricle and the right ventricle based on the area.