US2021233243A1PendingUtilityA1

Diagnostic support program

Assignee: PARAMEVIA PTE LTDPriority: Jul 19, 2016Filed: Apr 14, 2021Published: Jul 29, 2021
Est. expiryJul 19, 2036(~10 yrs left)· nominal 20-yr term from priority
G06T 2207/30061A61B 5/08A61B 6/5264A61B 6/5288G16H 10/60G16H 30/40A61B 5/318G06T 7/174A61B 6/5217G16H 50/30A61B 6/502A61B 6/486G06T 2207/10016G16H 50/20A61B 6/5205G06T 2207/30104A61B 6/50A61B 6/00A61B 5/024G06T 7/11G06T 7/168G06T 7/0016
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Claims

Abstract

A movement of an area whose shape changes for each respiration or for each heartbeat is displayed. A diagnosis support program that analyzes images of a human body and displays analysis results, the program causing a computer to execute: processing of acquiring a plurality of frame images from a database that stores the images (S 1 ); processing of specifying a respiratory cycle based on pixels in a specific area in each of the frame images (S 2 ); processing of detecting a lung field based on the specified respiratory cycle (S 3 ); processing of dividing the detected lung field into a plurality of block areas (S 4 ) and calculating a change in image in a block area in each of the frame images (S 5 ); processing of performing a Fourier analysis of a change in image in each block area in each of the frame images (S 6 ); and processing of displaying each image after the Fourier analysis on a display as a pseudo color image (S 7 ).

Claims

exact text as granted — not AI-modified
1 . A diagnosis support program that analyzes images of a human body and displays analysis results, the program causing a computer to execute:
 processing of acquiring a plurality of frame images;   processing of selecting a specific area from each of the frame images and specifying a respiratory cycle based on pixels in the selected specific area;   processing of detecting a lung field based on the specified respiratory cycle;   processing of calculating a change in image of the part of the lung field based on a relative position of between the part of the lung field and the lung contour;   processing of Fourier-transforming a change in image in the part of the lung field in each of the frame images;   processing of performing inverse Fourier transform by extracting frequency components corresponding to the respiratory cycle for Fourier transform results of a change in image in the part of the lung field; and   processing of displaying image after the inverse Fourier transform on a display.   
     
     
         2 . A diagnosis support program that analyzes images of a human body and displays analysis results, the program causing a computer to execute:
 processing of acquiring a plurality of frame images;   processing of specifying a blood vessel beat cycle of a subject;   processing of specifying a respiratory cycle based on pixels in a specific area in each of the frame images;   processing of detecting a lung field based on the specified respiratory cycle;   processing of calculating a change in image in the part of the lung field in each of the frame images;   processing of Fourier-transforming a change in image in the part of the lung field in each of the frame images;   processing of performing inverse Fourier transform by extracting frequency components corresponding to the blood vessel beat cycle for Fourier transform results of a change in image in the part of the lung field; and   processing of displaying image after the inverse Fourier transform on a display.   
     
     
         3 . A diagnosis support program that analyzes images of a human body and displays analysis results, the program causing a computer to execute:
 processing of acquiring a plurality of frame images;   processing of selecting a specific area from each of the frame images and specifying a blood vessel beat cycle of a subject based on pixels in the selected specific area;   processing of calculating a change in image in the part of an analysis range that is set for each of the frame images;   processing of Fourier-transforming a change in image in the part of the analysis range that is set for each of the frame images;   processing of performing inverse Fourier transform by extracting frequency components corresponding to the blood vessel beat cycle for Fourier transform results of a change in image in the part of the analysis range; and   processing of displaying image after the inverse Fourier transform on a display.   
     
     
         4 . The diagnosis support program according to  claim 1 , wherein
 a respiratory cycle of a subject is specified based on a movement of a diaphragm, a movement of a thorax, or data of a spirogram.   
     
     
         5 . The diagnosis support program according to  claim 2 , wherein
 a blood vessel beat cycle of the subject is specified based on measurement results by other modality devices including an electrocardiogram or a pulsimeter, and alternatively, a movement of a diaphragm and a thorax is extracted and a respiratory cycle of a subject is specified based on an image of a diaphragm and an image of a thorax at least included in each of the frame images, a lung field is detected based on the specified respiratory cycle, a position of a heart, a position of a hilum pulmonis, and blood vessel cycles of a main lung blood vessel and a large blood vessel are specified from the detected lung field, and a blood vessel beat cycle is specified based on a change in image of each specified region.   
     
     
         6 . The diagnosis support program according to  claim 1 , wherein
 a relative position relationship between an inside of a lung field and blood vessels is calculated based on the specified respiratory cycle, and a shape of a lung of a subject is specified as a standard lung and a dynamic state of a blood flow of the subject is specified as a standard blood vessel area.   
     
     
         7 . The diagnosis support program according to  claim 2 , wherein
 a respiratory cycle of a subject is specified based on a movement of a diaphragm, a movement of a thorax, or data of a spirogram.   
     
     
         8 . The diagnosis support program according to  claim 3 , wherein
 a blood vessel beat cycle of the subject is specified based on measurement results by other modality devices including an electrocardiogram or a pulsimeter, and alternatively, a movement of a diaphragm and a thorax is extracted and a respiratory cycle of a subject is specified based on an image of a diaphragm and an image of a thorax at least included in each of the frame images, a lung field is detected based on the specified respiratory cycle, a position of a heart, a position of a hilum pulmonis, and blood vessel cycles of a main lung blood vessel and a large blood vessel are specified from the detected lung field, and a blood vessel beat cycle is specified based on a change in image of each specified region.   
     
     
         9 . The diagnosis support program according to  claim 2 , wherein
 a relative position relationship between an inside of a lung field and blood vessels is calculated based on the specified respiratory cycle, and a shape of a lung of a subject is specified as a standard lung and a dynamic state of a blood flow of the subject is specified as a standard blood vessel area.

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