Method for Acquiring a Two-Dimensional Magnetic Resonance Image of a Slice Through a Region of Interest
US-2024362789-A1 · Oct 31, 2024 · US
US9466137B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9466137-B2 |
| Application number | US-201514708866-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 11, 2015 |
| Priority date | May 14, 2014 |
| Publication date | Oct 11, 2016 |
| Grant date | Oct 11, 2016 |
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The present disclosure discloses a spiral CT system and a reconstruction method thereof. In some embodiments, it is proposed that data missing due to a large pitch is compensated by weighting the complementary projection data of the projection data obtained using the spiral CT system. After the data is complemented, the projection data is rebinned as cone parallel beam data, cone-angle cosine weighting and one-dimensional filtering are implemented on the rebinned data, and parallel beam back projection is finally implemented on the filtered data, to obtain the reconstructed images. In some embodiments, with the above method, the speed of the belt can be increased by more than one time in a case that the existing area of the detectors and the existing speed of the slip ring are unchanged, thereby improving the pass rate of the luggage and maintaining the quality of the reconstructed images unchanged.
Opening claim text (preview).
What is claimed is: 1. A reconstruction method of a cone-beam spiral Computed Tomography (CT) system, comprising steps of: calculating a minimum row number of detectors required for covering a Tam window according to a pitch of the cone-beam spiral CT system and a row spacing of multiple rows of detectors; compensating for the missing projection data by weighting the complementary projection data in a case that the row number of detectors of the cone-beam spiral CT system is less than the minimum row number of detectors; rebinning the cone beam data to cone parallel beam data; implementing cone-angle cosine weighting on the rebinned cone parallel data, and then implementing one-dimensional filtering on the data along a row direction of virtual detectors defined when the projection data is rebinned as the data of parallel beams; and implementing cone parallel beam back projection without weighting on the filtered data, to obtain reconstructed images. 2. The method according to claim 1 , wherein the step of compensating for the missing projection data by weighting the complementary projection data comprises: when s>s max , P ( λ , α , s ) = ( 1 - w 1 ) • P ( λ , α , s max ) + w 1 • P ( λ + π - 2 α , - α , s min ) w 1 = A B AC = s - s max h D ( π - 2 α ) 2 π R cos α - ( s max - s min )
Inverse problem, i.e. transformations from projection space into object space · CPC title
Biomedical image processing · CPC title
Filtered back projection [FBP] · CPC title
Biomedical image inspection · CPC title
characterised by the use of a particular data acquisition trajectory, e.g. helical or spiral · CPC title
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