MEDICAL IMAGE REPORTING SYSTEM AND METHOD
First Claim
1. A method of reconstructing a model of a path through a branching tubular organ, drawing upon a three-dimensional (3D) digital image of the surrounding anatomy and comprising the steps of:
- computing a segmentation of the organ using the digital image;
identifying a region of interest (ROI) associated with the anatomy;
selecting the path originating at the beginning of the branching organ, passing through branches of the organ, and leading to the ROI;
adding branches to the organ segmentation;
constructing accurate endoluminal surfaces of the organ'"'"'s branches; and
producing a model of the path containing accurate endoluminal surfaces at all branch junctions encountered along the path.
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Abstract
This invention relates generally to medical imaging and, in particular, to a method and system for reconstructing a model path through a branched tubular organ. Novel methodologies and systems segment and define accurate endoluminal surfaces in airway trees, including small peripheral bronchi. An automatic algorithm is described that searches the entire lung volume for airway branches and poses airway-tree segmentation as a global graph-theoretic optimization problem. A suite of interactive segmentation tools for cleaning and extending critical areas of the automatically segmented result is disclosed. A model path is reconstructed through the airway tree.
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Citations
98 Claims
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1. A method of reconstructing a model of a path through a branching tubular organ, drawing upon a three-dimensional (3D) digital image of the surrounding anatomy and comprising the steps of:
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computing a segmentation of the organ using the digital image; identifying a region of interest (ROI) associated with the anatomy; selecting the path originating at the beginning of the branching organ, passing through branches of the organ, and leading to the ROI; adding branches to the organ segmentation; constructing accurate endoluminal surfaces of the organ'"'"'s branches; and producing a model of the path containing accurate endoluminal surfaces at all branch junctions encountered along the path. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 65, 66, 67, 68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95)
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15. A system for reconstructing a model of a path through a branching tubular organ, comprising the steps of:
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an input for receiving a 3D digital image of the surrounding anatomy; a processor operative to perform the following functions; a) automatically computing a segmentation of the organ using the digital image; b) receiving input for identifying a region of interest (ROI) associated with the anatomy; c) selecting the path originating at the beginning of the branching organ, passing through branches of the organ, and leading to the ROI; d) receiving input for adding branches to the organ segmentation along the path; e) constructing accurate endoluminal surfaces of the organ'"'"'s branches; and f) producing a model of the path containing accurate endoluminal surfaces at all branch junctions encountered along the path. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 63, 88)
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33. A method for automatically identifying at least one lymph node station in a thoracic region of a patient, said method comprising the steps of:
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calculating a 3D model of at least one anatomical structure in the chest based on image data; calculating at least one anatomical cue derived from said at least one anatomical structure; and calculating at least one lymph node station based on said image data and using said at least one anatomical cue wherein said calculating at least one lymph node station is performed automatically.
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49. A method for automatically identifying at least one lymph node zone in the thoracic region comprising the steps of:
identifying at least one known anatomical cue; and
automatically calculating at least one lymph node zone using said at least one anatomical cue.
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53. A computing system for calculating at least one lymph node station based on image data of a patient'"'"'s thoracic region, said system comprising:
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a memory storing said image data; a processor in communication with said memory, the processor being operative to; a) calculate a 3D model of at least one anatomical structure in the chest of the patient; b) calculate at least one anatomical cue derived from said at least one anatomical structure; and c) calculate said at least one lymph node station based on at least one anatomical cue.
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64. A lymph node station mapping method based on image data of a patient of the thoracic region, said method comprising:
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processing the image data, said processing step comprising (a) automatically defining at least one anatomical structure from the group consisting of;
airway tree, airway-tree centerlines, aorta, pulmonary artery, lungs, major skeletal structures, and major-airway labels; and
(b) defining criteria for MDCT-based station definition based on geometric and anatomical criteria defined by the Mountain system;defining a landmark and a station comprising (a) extracting a landmark for a lymph-node station definition;
(b) defining Mountain stations based on said criteria and the extracting step; and
(c) demarcating each station with at least one 3D volumetric region; andvisualizing the station and lymph-node definition, said visualization step comprising (a) manually refining the region occupied by each lymph-node station using at least one tool; and
(b) segmenting visible lymph nodes in the defined station regions.
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69. An automatic method of producing a report of a path through a hollow body organ, comprising the steps of:
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receiving previously acquired three-dimensional (3D) image data of the anatomy, including predefined endoluminal surfaces of the organ; identifying at least one site of interest associated with the anatomy; automatically generating a path to the site; and outputting a report describing a selected characteristic, or characteristics, along the path.
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82. A system for producing a report of a path through a hollow body organ, comprising:
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a user input for identifying at least one site of interest associated with the anatomy on a three-dimensional digital image of the anatomy, including predefined endoluminal surfaces; and a processor for automatically generating a path to the site and a report describing the path.
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96. Any method disclosed herein.
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97. Any article disclosed herein.
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98. Any system disclosed herein.
Specification