Magnetic resonance imaging of ventilation and perfusion in the lung
First Claim
1. A computer-implemented method using magnetic resonance imaging to characterize ventilation and perfusion in a lung, comprising:
- acquiring, using a magnetic resonance imaging (MM) machine under the control of a processing unit, a magnetic resonance (MR) image of the lung that includes MR data in a voxel of the MR image, wherein the acquiring causes the MM machine to measure a breathing frequency value;
determining, by the processing unit a water density value and a perfusion value in at least one voxel of the MR image based on the MR data;
determining, by the processing unit from the water density value, an air content value in the at least one voxel;
determining, by the processing unit, a specific ventilation value in the at least one voxel based on a time delay between an onset of a stimulus to the lung and a response detected in the at least one voxel;
determining, by the processing unit a ventilation-perfusion ratio value that is the product of the specific ventilation value, the air content value, the inverse of the perfusion value, and the breathing frequency value; and
evaluating, by the processing unit, a spatial distribution of the specific ventilation value, perfusion value, and the ventilation-perfusion ratio by computing a standard deviation of the specific ventilation value and perfusion value;
wherein the specific ventilation value is computed by SVI*(1−
density)*fB wherein SVI represents quantitative data from the MR image, (1−
density) represents the air content value, and fB represents the breathing frequency value, thereby determining when the lung is diseased.
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Accused Products
Abstract
Methods, devices, and systems are disclosed for implementing a fully quantitative non-injectable contrast proton MRI technique to measure spatial ventilation-perfusion (VA/Q) matching and spatial distribution of ventilation and perfusion. In one aspect, a method using MRI to characterize ventilation and perfusion in a lung includes acquiring an MR image of the lung having MR data in a voxel and obtaining a breathing frequency parameter, determining a water density value, a specific ventilation value, and a perfusion value in at least one voxel of the MR image based on the MR data and using the water density value to determine an air content value, and determining a ventilation-perfusion ratio value that is the product of the specific ventilation value, the air content value, the inverse of the perfusion value, and the breathing frequency.
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Citations
26 Claims
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1. A computer-implemented method using magnetic resonance imaging to characterize ventilation and perfusion in a lung, comprising:
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acquiring, using a magnetic resonance imaging (MM) machine under the control of a processing unit, a magnetic resonance (MR) image of the lung that includes MR data in a voxel of the MR image, wherein the acquiring causes the MM machine to measure a breathing frequency value; determining, by the processing unit a water density value and a perfusion value in at least one voxel of the MR image based on the MR data; determining, by the processing unit from the water density value, an air content value in the at least one voxel; determining, by the processing unit, a specific ventilation value in the at least one voxel based on a time delay between an onset of a stimulus to the lung and a response detected in the at least one voxel; determining, by the processing unit a ventilation-perfusion ratio value that is the product of the specific ventilation value, the air content value, the inverse of the perfusion value, and the breathing frequency value; and evaluating, by the processing unit, a spatial distribution of the specific ventilation value, perfusion value, and the ventilation-perfusion ratio by computing a standard deviation of the specific ventilation value and perfusion value; wherein the specific ventilation value is computed by SVI*(1−
density)*fB wherein SVI represents quantitative data from the MR image, (1−
density) represents the air content value, and fB represents the breathing frequency value, thereby determining when the lung is diseased. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A magnetic resonance imaging system to characterize ventilation and perfusion in a lung, comprising:
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a magnetic resonance imaging machine that acquires an MR image of the lung; and a processing unit having a processor and a non-transitory computer-readable storage medium having instructions stored thereon that when executed by the processor cause the processing unit to at least; command the magnetic resonance imaging machine to acquire the MR image that includes MR data in each voxel of the MR image, process the MR data to determine a water density value and a perfusion value in at least one voxel of the MR image, wherein the water density value is used to determine an air content value, measure a breathing frequency of the lung; determine a specific ventilation value in the at least one voxel based on a time delay between an onset of a stimulus to the lung and a response detected in the at least one voxel; determine a ventilation-perfusion ratio value that is the product of the specific ventilation value, the air content value, the inverse of the perfusion value, and the breathing frequency; and evaluate a spatial distribution of the specific ventilation value, perfusion value, and the ventilation-perfusion ratio by computing a standard deviation of the specific ventilation value and perfusion value; wherein the specific ventilation value is computed by SVI*(1−
density)*fB wherein SVI represents quantitative data from the MR image, (1−
density) represents the air content value, and fB represents the breathing frequency value, thereby determining when the lung is diseased. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A computer program product comprising a non-transitory computer-readable storage medium having instructions stored thereon, the instructions comprising:
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code for acquiring, using a magnetic resonance imaging (MRI) machine, an MR image of a lung that includes MR data in a voxel of the MR image; code for determining a water density value and a perfusion value in at least one voxel of the MR image based on the MR data, wherein the water density value is used to determine an air content value; code for measuring a breathing frequency value; code for determining a specific ventilation value in the at least one voxel based on a time delay between an onset of a stimulus to the lung and a response detected in the at least one voxel; code for determining a ventilation-perfusion ratio value that is the product of the specific ventilation value, the air content value, the inverse of the perfusion value, and the breathing frequency value; and code for evaluating a spatial distribution of the specific ventilation value, perfusion value, and the ventilation-perfusion ratio by computing a standard deviation of the specific ventilation value and perfusion value, wherein the specific ventilation value is computed by SVI*(1−
density)*fB wherein SVI represents quantitative data from the MR image, (1−
density) represents the air content value, and fB represents the breathing frequency value, thereby determining when the lung is diseased. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26)
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Specification