Multimodal segmentation in intravascular images
First Claim
Patent Images
1. A method for detecting a feature of interest in a vascular image, themethod comprising:
- receiving information from a first imaging modality and transforming information from the first imaging modality into a first coordinate space, wherein the first imaging modality comprises an intravascular imaging modality associated with an intravascular device positioned within a vessel of a patient;
receiving information from a second imaging modality and transforming information from the second imaging modality into a second coordinate space, the second imaging modality comprising at least one of ultrasound, photoacoustic imaging, virtual histology intravascular ultrasound (VH-IVUS), optical coherence tomography (OCT), x-ray angiography, fluoroscopy, or magnetic resonance imaging (MRI);
aligning the first coordinate space and the second coordinate space, thereby combining information from the first imaging modality and the second imaging modality into a combined data set; and
detecting a feature of interest in a vascular image based on the combined data set, wherein detection of a feature of interest comprises training an algorithm to detect the feature of interest based on the combined data set and initializing a search for the feature of interest based on the combined data set.
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Abstract
The invention provides methods for detecting features of interest in cardiovascular images by receiving information from a first modality and transforming information from the first modality into a first coordinate space, receiving information from a second modality and transforming information from the second modality into a second coordinate space. The first coordinate space is aligned to the second coordinate space to combine information from the first modality and the second modality into a combined data set. The method can also involve detecting the feature of interest in a vascular image based on the combined data set.
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Citations
19 Claims
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1. A method for detecting a feature of interest in a vascular image, the
method comprising: -
receiving information from a first imaging modality and transforming information from the first imaging modality into a first coordinate space, wherein the first imaging modality comprises an intravascular imaging modality associated with an intravascular device positioned within a vessel of a patient; receiving information from a second imaging modality and transforming information from the second imaging modality into a second coordinate space, the second imaging modality comprising at least one of ultrasound, photoacoustic imaging, virtual histology intravascular ultrasound (VH-IVUS), optical coherence tomography (OCT), x-ray angiography, fluoroscopy, or magnetic resonance imaging (MRI); aligning the first coordinate space and the second coordinate space, thereby combining information from the first imaging modality and the second imaging modality into a combined data set; and detecting a feature of interest in a vascular image based on the combined data set, wherein detection of a feature of interest comprises training an algorithm to detect the feature of interest based on the combined data set and initializing a search for the feature of interest based on the combined data set. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for determining the degree of improvement
after a therapeutic procedure, the system comprising: -
a processor; and a computer readable storage medium comprising instructions that when executed cause the system to; receive information from a first imaging modality and transform information from the first imaging modality into a first coordinate space, wherein the first imaging modality comprises an intravascular imaging modality associated with an intravascular device positioned within a vessel of a patient; receive information from a second imaging modality and transform information from the second imaging modality into a second coordinate space, the second imaging modality comprising at least one of ultrasound, photoacoustic imaging, virtual histology intravascular ultrasound (VH-IVUS), optical coherence tomography (OCT), x-ray angiography, fluoroscopy, or magnetic resonance imaging (MRI); align the first coordinate space and the second coordinate space, thereby combining information from the first imaging modality and the second imaging modality into a combined data set; and detect a feature of interest in a vascular image based on the combined data set, wherein detection of a feature of interest comprises training an algorithm to detect the feature of interest based on the combined data set and initializing a search for the feature of interest based on the combined data set. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A system for detecting a feature of interest in a vascular image, the
system comprising: -
a processor; and a computer readable storage medium comprising instructions that when executed cause the system to; receive positional data from a first imaging modality and transform the positional data into a first set of coordinates, wherein the first imaging modality comprises an intravascular imaging modality associated with an intravascular device positioned within a vessel of a patient; receive positional data from a second imaging modality and transform the positional data into a second set of coordinates, the second imaging modality being different from the first imaging modality; create a combined data set by aligning the first set of coordinates and the second set of coordinates; and detect a feature of interest in a vascular image based on the combined data set. - View Dependent Claims (17, 18, 19)
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Specification