Method and system for ground glass nodule (GGN) segmentation using a Markov random field and shape analysis
First Claim
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1. A method for ground glass nodule (GGN) segmentation, comprising:
- selecting a point in a medical image, wherein said point is located in a GGN;
defining a volume of interest (VOI) around said point, wherein said VOI comprises said GGN;
obtaining an initial state for a Markov random field;
segmenting said VOI, wherein said VOI is segmented using said Markov random field;
identifying vessels in the volume of interest;
segmenting the vessels; and
removing segmented vessels from the segmented ground glass nodule.
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Abstract
A system and method for ground glass nodule (GGN) segmentation is provided. The method comprises: selecting a point in a medical image, wherein the point is located in a GGN; defining a volume of interest (VOI) around the point, wherein the VOI comprises the GGN; removing a chest wall from the VOI; obtaining an initial state for a Markov random field; segmenting the VOI, wherein the VOI is segmented using the Markov random field; identifying vessels in the volume of interest; segmenting the vessels; and removing segmented vessels from the segmented ground glass nodule.
23 Citations
82 Claims
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1. A method for ground glass nodule (GGN) segmentation, comprising:
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selecting a point in a medical image, wherein said point is located in a GGN; defining a volume of interest (VOI) around said point, wherein said VOI comprises said GGN; obtaining an initial state for a Markov random field; segmenting said VOI, wherein said VOI is segmented using said Markov random field; identifying vessels in the volume of interest; segmenting the vessels; and removing segmented vessels from the segmented ground glass nodule.
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2. A method for ground glass nodule (GGN) segmentation, comprising:
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selecting a point in a medical image, wherein said point is located in a GGN; defining a volume of interest (VOI) around said point, wherein said VOI comprises said GGN; removing a chest wall from said VOI; obtaining an initial state for a Markov random field; segmenting said VOI, wherein said VOI is segmented using said Markov random field; and performing a shape analysis to remove blood vessels attached to or near said GGN after said VOI has been segmented using said MarKov random field, wherein said step of performing a shape analysis comprises; identifying vessels in said VOI; segmenting said vessels; and removing segmented vessels from said segmented GGN. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A system for ground glass nodule (GGN) segmentation, comprising:
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a memory device for storing a program; and a processor in communication with said memory device, said processor operative with said program to; define a volume of interest (VOI) around a GGN using data associated with a medical image of a lung, obtain an initial state for a Markov random field, segment said VOI, wherein said VOI is segmented using said Markov random field, and perform a shape analysis to remove blood vessels attached to said GGN in said VOI segmented using said Markov random field. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57)
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58. A computer program product comprising a computer useable medium having computer program logic recorded thereon for ground glass nodule (GGN) segmentation, said computer program logic comprising:
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program code for selecting a point in a medical image, wherein said point is located in or near a GGN; program code for defining a volume of interest (VOI) around said point, wherein said VOI comprises said GGN; program code for removing a chest wall from said VOI; program code for obtaining an initial state for a Markov random field; and program code for segmenting said VOI, wherein said VOI is segmented using said Markov random field; identifying vessels from said VOI, segmenting vessels in said VOI, and removing segmented vessels from said VOI.
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59. A system for ground glass nodule (GGN) segmentation, comprising:
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means for selecting a point in a medical image, wherein said point is located in a GGN; means for defining a volume of interest (VOI) around said point, wherein said VOI comprises said GGN; means for removing a chest wall from said VOI; means for obtaining an initial state for a Markov random field; means for segmenting said VOI, wherein said VOI is segmented using said Markov random field; means for identifying vessels from said VOI; means for segmenting vessels in said VOI; and means for removing segmented vessels from said VOI.
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60. A method for ground glass nodule (GGN) segmentation in pulmonary computed tomographic (CT) volumes using a Markov random field, comprising:
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selecting a GGN from data associated with a pulmonary CT volume; defining a volume of interest (VOI) around said GGN; removing a chest wall from said VOI by performing a connected component analysis on said VOI; obtaining an initial state for an iterated condition mode (ICM) procedure by segmenting said VOI after said chest wall is removed; and segmenting said VOI using a Markov random field, wherein the segmentation comprises; defining aposteriori probability for said VOI, performing said ICM procedure, wherein said ICM procedure comprises labeling each pixel in said VOI to obtain maximum of the posteriori probability, wherein each pixel in said VOI is labeled as one of a GGN and a background until the label of each pixel in said VOI is not changed any more, identifying vessels from said VOI, segmenting vessels in said VOI, and removing segmented vessels from said VOI. - View Dependent Claims (61, 62, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82)
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68. A method as recited in caim 67, wherein said step of removing a chest wall from said VOI comprises distinguishing said chest wall from vessels based on the fact that said chest wall is always located on a corner of said VOI.
Specification