Method for Acquiring a Two-Dimensional Magnetic Resonance Image of a Slice Through a Region of Interest
US-2024362789-A1 · Oct 31, 2024 · US
US9702832B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9702832-B2 |
| Application number | US-201414304848-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 13, 2014 |
| Priority date | Jun 14, 2013 |
| Publication date | Jul 11, 2017 |
| Grant date | Jul 11, 2017 |
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Disclosed is a CT imaging method and system. The method includes: CT scanning an object with a dual-energy CT system to obtain a first complete set of projection data in a first scan mode, and to obtain a second incomplete set of projection data in a second scan mode; reconstructing a first attenuation coefficient image of the object from the first set of projection data, and extracting, from the first attenuation coefficient image, prior structure information of the object indicating edge intensity; and reconstructing a second attenuation coefficient image of the object from the second incomplete set of projection data using the extracted prior structure information as a constraint. With the method using the prior structure information of the imaged object as a constraint in reconstruction, it is possible to dramatically reduce an amount of data required for reconstruction, and achieve satisfactory effects even with ill-conditioned problems of limited-angle and inner reconstruction.
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The invention claimed is: 1. A CT imaging method, comprising: CT scanning an object with a dual-energy CT system to obtain a first complete set of projection data at a first energy level, and to obtain a second incomplete set of projection data at a second energy level different from the first energy level; reconstructing a first image of the object from the first set of projection data, and extracting, from the first image, prior structure information of the object indicating edge intensity, wherein the extracted prior structure information describes boundaries and details having obvious difference in the first image; and reconstructing a second image of the object from the second incomplete set of projection data using the extracted prior structure information as a constraint. 2. The method according to claim 1 , wherein the dual-energy CT system comprises multiple rows of low-energy detectors, and high-energy detectors disposed behind part of the rows of low-energy detectors; said obtaining a first complete set of projection data in a first scan mode comprises performing a 360-degree circular or helical CT scan on the object with rays at a first energy level, to obtain the first complete set of projection data; said obtaining a second incomplete set of projection data in a second scan mode comprises performing a limited-angle CT scan on the object with rays at a second energy level different from the first energy level, to obtain the second incomplete set of projection data. 3. The method according to claim 1 , wherein the dual-energy CT system comprises multiple low-energy detectors, and multiple high-energy detectors disposed behind the low-energy detectors; said obtaining a first complete set of projection data in a first scan mode comprises performing a 360-degree circular or helical CT scan on the object with rays at a first energy level, to obtain the first complete set of projection data; said obtaining a second incomplete set of projection data in a second scan mode comprises performing a sparse-angle sampling CT scan on the object with rays at a second energy level different from the first energy level, to obtain the second incomplete set of projection data. 4. The method according to claim 1 , wherein the dual-energy CT system comprises at least one row of low-energy detectors, and a plurality of high-energy detectors which are uniformly provided behind part of the low-energy detectors; said obtaining a first complete set of projection data in a first scan mode comprises performing a 360-degree circular or helical CT scan on the object with rays at a first energy level, to obtain the first complete set of projection data; said obtaining a second incomplete set of projection data in a second scan mode comprises performing a detector undersampling CT scan on the object with rays at a second energy level different from the first energy level, to obtain the second incomplete set of projection data. 5. The method according to claim 1 , wherein the dual-energy CT system comprises at least one row of low-energy detectors, and a plurality of high-energy detectors which are concentrated and provided behind part of the low-energy detectors; said obtaining a first complete set of projection data in a first scan mode comprises performing a 360-degree circular or helical CT scan on the object with rays at a first energy level, to obtain the first complete set of projection data; said obtaining a second incomplete set of projection data in a second scan mode comprises performing an inner reconstruction CT scan on the object with rays at a second energy level different from the first energy level, to obtain the second incomplete set of projection data. 6. The method according to claim 1 , wherein said extracting prior structure information of the object from the first image comprises performing edge extraction on the first image to obtain the prior structure information. 7. The method according to claim 6 , wherein said reconstructing a second image of the object from the second incomplete set of projection data comprises: calculating the second image f according to an equation min G ∇ f 1 + λ ∇ f 1 = min ( G + λ I ) ∇ f 1 s . t . Hf - p W ≤ ɛ wherein ε is a quantity related to an overall noise level in the second set of projection data, and λ is used to balance a prior structure information constraint and a Total Variation (TV) constraint; the prior structure information constraint is dominant when λ≦1, while minimization of the TV is a dominant constraint when λ>1; the second image is denoted as f={f 1 , f 2 , . . . , f n }, the second set of projection data obtained by the CT scan is denoted as p={p 1 , p 2 , . . . , p m }, a line integral projection process is denoted as H { h i j } m × n ,
Inverse problem, i.e. transformations from projection space into object space · CPC title
Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title
Dual energy · CPC title
using energy resolving detectors, e.g. photon counting · CPC title
Computed tomography [CT] · CPC title
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