Analysis system and production method of analysis image
US-2024290067-A1 · Aug 29, 2024 · US
US9606206B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9606206-B2 |
| Application number | US-99702009-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 16, 2009 |
| Priority date | Jun 25, 2008 |
| Publication date | Mar 28, 2017 |
| Grant date | Mar 28, 2017 |
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A radiation therapy system comprises: a radiation therapy subsystem ( 20, 22, 32 ) configured to perform radiation therapy by applying radiation pulses to a region of a subject at pulse intervals (Tpi); a magnetic resonance (MR) imaging subsystem ( 10, 16, 30, 36 ) configured to acquire a dataset of MR imaging data samples from the region of the subject over one or more MR sampling intervals (TAQ) that are longer than the pulse intervals, the one or more MR sampling intervals overlapping at least some of the pulse intervals; a synchronizer ( 40 ) configured to identify MR imaging data samples of the dataset whose acquisition times overlap pulse intervals; and a reconstruction processor ( 44 ) configured to reconstruct the dataset without the measured values for the MR imaging data samples identified as having acquisition times overlapping pulse intervals to generate a reconstructed MR image.
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The invention claimed is: 1. A radiation therapy method comprising: performing radiation therapy by applying a pulsed beam of ionizing radiation to a region of a subject during pulse intervals; acquiring a dataset of magnetic resonance (MR) imaging data samples from the region of the subject over one or more MR sampling intervals that are longer than the pulse intervals, the one or more MR sampling intervals overlapping at least some of the pulse intervals; and reconstructing the dataset without the measured MR imaging data samples acquired during acquisition times that overlap pulse intervals to generate a reconstructed MR image. 2. The radiation therapy method as set forth in claim 1 , further comprising: inserting non-measured or estimated MR imaging data sample values into the dataset for those MR imaging data samples whose acquisition times overlap pulse intervals; the reconstructing comprising reconstructing the dataset with the inserted non-measured or estimated MR imaging data sample values to generate the reconstructed MR image. 3. The radiation therapy method as set forth in claim 2 , further comprising: generating a simulated dataset of MR imaging data samples from the reconstructed MR image; updating the non-measured or estimated MR imaging data sample values based on the generated simulated dataset; and reconstructing the dataset with the updated, inserted non-measured or estimated MR imaging data sample values to generate an improved reconstructed MR image. 4. The radiation therapy method as set forth in claim 2 , further comprising: constructing the non-measured or estimated MR imaging data sample values from acquired MR imaging data samples whose acquisition times do not overlap pulse intervals, based on a Hermitian k-space symmetry. 5. The radiation therapy method as set forth in claim 4 , further comprising: selecting at least one of (i) a repetition time of the acquiring and (ii) a pulse repetition time interval separating the pulse intervals such that the MR imaging data samples whose acquisition times overlap pulse intervals all lie in one half of k-space. 6. The radiation therapy method as set forth in claim 4 , further comprising: selecting (i) a pulse repetition time interval separating the pulse intervals, and (ii) a repetition time of the acquiring, such that the repetition time of the acquiring and the pulse repetition time interval define a rational ratio. 7. The radiation therapy method as set forth in claim 1 , wherein the acquiring employs a plurality of radio frequency receive coils having different coil sensitivities, and the reconstruction comprises: reconstructing the dataset without those MR imaging data samples whose acquisition times overlap pulse intervals, the said dataset being undersampled; and compensating for undersampling based on additional information provided by sensitivities of the plurality of radio frequency receive coils. 8. The radiation therapy method as set forth in claim 1 , further comprising: detuning a radio frequency receive coil during the pulse intervals. 9. The radiation therapy method as set forth in claim 1 , further comprising: identifying a subject motion based on the reconstructed MR image; and adjusting the applying of the pulsed beam of ionizing radiation performed subsequent to the identifying to adapt the radiation therapy to accommodate the identified subject motion. 10. The radiation therapy method as set forth in claim 1 , wherein the pulsed beam of ionizing radiation comprises: gamma particles, alpha particles, beta particles or x-ray photons. 11. The radiation therapy method as set forth in claim 1 , wherein the pulsed beam of ionizing radiation interacts with and damages tumor tissue. 12. A radiation therapy system comprising: a radiation therapy subsystem configured to perform radiation therapy by applying a pulsed beam of ionizing radiation to a region of a subject at pulse intervals; a magnetic resonance (MR) imaging subsystem configured to acquire a dataset of MR imaging data samples from the region of the subject over one or more MR sampling intervals that are longer than the pulse intervals, the one or more MR sampling intervals overlapping at least some of the pulse intervals; a synchronizer configured to identify MR imaging data samples of the dataset whose acquisition times overlap pulse intervals; and a reconstruction processor configured to reconstruct the dataset without the measured values for the MR imaging data samples identified as having acquisition times overlapping pulse intervals to generate a reconstructed MR image. 13. The radiation therapy system as set forth in claim 12 , wherein the synchronizer is further configured to select at least one of (i) a repetition time of the dataset acquisition and (ii) a pulse repetition time interval separating the pulse intervals in order to define which MR imaging data samples of the dataset have acquisition times overlapping pulse intervals. 14. The radiation therapy system as set forth in claim 12 , wherein the reconstruction processor is configured to insert non-measured or estimated MR imaging data sample values into the dataset for the MR imaging data samples identified as having acquisition times overlapping pulse intervals, the reconstruction processor being configured to reconstruct the dataset with the inserted non-measured or estimated MR imaging data sample values to generate the reconstructed MR image. 15. The radiation therapy system as set forth in claim 12 , wherein the MR imaging subsystem comprises: a plurality of radio frequency receive coils having different coil sensitivities, the reconstruction processor configured to (i) reconstruct the dataset without the MR imaging data samples identified as having acquisition times overlapping pulse intervals, said dataset being undersampled, and (ii) compensate for the undersampling based on additional information provided by the plurality of radio frequency receive coils having the different coil sensitivities. 16. The radiation therapy system as set forth in claim 12 , wherein the pulsed beam of ionizing radiation comprises: gamma particles, alpha particles, beta particles or x-ray photons. 17. The radiation therapy system as set forth in claim 12 , wherein the pulsed beam of ionizing radiation interacts with and damages tumor tissue.
Parallel magnetic resonance imaging, e.g. sensitivity encoding [SENSE], simultaneous acquisition of spatial harmonics [SMASH], unaliasing by Fourier encoding of the overlaps using the temporal dimension [UNFOLD], k-t-broad-use linear acquisition speed-up technique [k-t-BLAST], k-t-SENSE (structural details of arrays of sub-coils G01R33/3415) · CPC title
Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels (image data processing or generation, in general G06T) · CPC title
Image enhancement or correction, e.g. subtraction or averaging techniques {, e.g. improvement of signal-to-noise ratio and resolution} · CPC title
using magnetic resonance imaging [MRI] · CPC title
in real time, i.e. during treatment · CPC title
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