System and Method for an Automated Parsing Pipeline for Anatomical Localization and Condition Classification
First Claim
1. An automated parsing pipeline system for anatomical localization and condition classification, said system comprising:
- a processor;
a non-transitory storage element coupled to the processor;
encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the automated parsing pipeline system to;
receive at least one volumetric image;
parse the received volumetric image into at least a single image frame field of view;
pre-process the parsed volumetric image by at least controlling for image intensity value;
localize a present tooth inside the pre-processed and parsed volumetric image and identifying it by number;
extract the identified tooth and surrounding context within the localized volumetric image; and
classify a tooth'"'"'s conditions based on the extracted volumetric image.
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Abstract
An automated parsing pipeline system and method for anatomical localization and condition classification is disclosed. The system comprises an input even source, a memory unit and processor including a volumetric image processor, a voxel parsing engine, localization layer and a detection module. The volumetric image processor is configured to receive volumetric image from the input source and parse the received volumetric image. The voxel parsing engine is configured to assign each voxel a distant anatomical structure. The localization layer is configured to crop a defined anatomical structure with surroundings. The detection module is configured to classify conditions for each defined anatomical structure within the cropped image. The disclosed system and method provide accurate localization of a tooth and detects several common conditions in each tooth.
24 Citations
37 Claims
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1. An automated parsing pipeline system for anatomical localization and condition classification, said system comprising:
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a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the automated parsing pipeline system to; receive at least one volumetric image; parse the received volumetric image into at least a single image frame field of view; pre-process the parsed volumetric image by at least controlling for image intensity value; localize a present tooth inside the pre-processed and parsed volumetric image and identifying it by number; extract the identified tooth and surrounding context within the localized volumetric image; and classify a tooth'"'"'s conditions based on the extracted volumetric image. - View Dependent Claims (2, 3, 4, 6, 7, 8, 9, 26)
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5. The system of claim, wherein the pre-processing comprises using any one of a normalization schemes to account for variations in image value intensity depending on at least one of an input or output of volumetric image.
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10. An automated parsing pipeline system for anatomical localization, said system comprising:
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a volumetric image processor; a voxel parsing engine; a localization layer; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the automated parsing pipeline system to; receive at least one volumetric image data received from a radio-image gathering source by the volumetric image processor; parse the received volumetric image data into at least a single image frame field of view by said volumetric image processor; localize anatomical structures residing in the at least single field of view by assigning each voxel a distinct anatomical structure by the voxel parsing engine; and select all voxels belonging to the localized anatomical structure by finding a minimal bounding rectangle around the voxels and the surrounding region for cropping as a defined anatomical structure by the localization layer. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. An automated parsing pipeline system for anatomical localization and condition classification, said system comprising:
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a volumetric image processor; a voxel parsing engine; a localization layer; a classification layer; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the automated parsing pipeline system to; receive at least one volumetric image data received from a radio-image gathering source by the volumetric image processor; parse the received volumetric image data into at least a single image frame field of view by said volumetric image processor; localize anatomical structures residing in the at least single field of view by assigning each voxel a distinct anatomical structure ID by the voxel parsing engine; select all voxels belonging to the localized anatomical structure by finding a minimal bounding rectangle around the voxels and the surrounding region for cropping as a defined anatomical structure by the localization layer; and detect conditions for each defined anatomical structure within the cropped image by the classification layer. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25)
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27. An automated parsing pipeline system for anatomical localization and condition classification, said system comprising:
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a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the automated parsing pipeline system to; receive at least one 2D image; parse the received image into at least a single image frame field of view; pre-process the parsed image by at least controlling for image intensity value; localize a present tooth inside the pre-processed and parsed image and identifying it by number; extract the identified tooth and surrounding context within the localized image; and classify a tooth'"'"'s conditions based on the extracted image.
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28. A method for localizing a tooth and classifying a tooth condition, said method comprising the steps of:
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receiving at least one volumetric image; parsing the received volumetric image into at least a single image frame field of view; pre-processing the parsed volumetric image by at least controlling for image intensity value; localizing a present tooth inside the pre-processed and parsed volumetric image and identifying it by number; extracting the identified tooth and surrounding context within the localized volumetric image; and classifying a tooth'"'"'s conditions based on the extracted volumetric image. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36)
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37. A method for localizing a tooth and classifying a tooth condition, said method comprising the steps of:
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receiving at least one volumetric image data received from a radio-image gathering source by a volumetric image processor; parsing the received volumetric image data into at least a single image frame field of view by said volumetric image processor; pre-processing the at least single image frame field of view by controlling for image intensity value by the volumetric image processor; localizing an anatomical structure residing in the at least single pre-processed field of view by assigning each voxel a distinct anatomical structure ID by the voxel parsing engine; selecting all voxels belonging to the localized anatomical structure by finding a minimal bounding rectangle around the voxels and the surrounding region for cropping as a defined anatomical structure by the localization layer; and classifying conditions for each defined anatomical structure within the cropped image by the classification layer.
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Specification