Systems and methods for improving soft tissue contrast, multiscale modeling and spectral CT
Systems and methods for improving soft tissue contrast, characterizing tissue, classifying phenotype, stratifying risk, and performing multi-scale modeling aided by multiple energy or contrast excitation and evaluation are provided. The systems and methods can include single and multi-phase acquisitions and broad and local spectrum imaging to assess atherosclerotic plaque tissues in the vessel wall and perivascular space.
1. A computerized method for improving soft tissue analysis, the method comprising:
obtaining, via a computing device, a plurality of radiological images of patient, where each of the radiological images is obtained using different excitations;
selecting, by the computing device, a process among a plurality of processes to analyze the plurality of excitations based on an expected soft tissue type;
segmenting, by the computer devices, the processed plurality of excitations to display the soft tissue;
determining, via, the computing device, a first tissue type in a region of interest based on the plurality of radiological images of the patient, wherein the first tissue type is a represented by a grid of points across the region of interest; and
determining, via the computing device, a second tissue type, in the region interest based on the plurality of radiological images of the patient, wherein the second tissue type is a focal region in the region of interest, wherein at least some of the grid points of the first tissue type coincide in position with the second tissue type.
2. The computerized method of claim 1 wherein the plurality of radiological image are computerized tomography (CT) images and the different excitations are different x-ray energy.
3. The computerized method of claim 1 wherein the plurality of radiological image are Magnetic Resonance (MR) images and the different excitations are different radio frequency pulses.
4. The computerized method of claim 1 wherein the plurality of radiological image are ultrasound images and the different excitations are different frequencies.
5. The computerized method of claim 1 wherein the plurality of processes comprises a digital subtraction process, digital addition process, a multivariate statistical process, or an excitation selection process.
6. The computerized method of claim 5 wherein the digital addition process comprises averaging the received plurality of radiological images.
7. The computerized method of claim 5 wherein the excitation selection process involves selecting a particular radiological image of the plurality of radiological images based on the tissue type.
8. The computerized method of claim 1 wherein the plurality of radiological images are CT images and each of the plurality of CT images are formed by:
directing, via a first x-ray source, a first x-ray attenuation to an energy integrating detector, wherein the energy integrated detector is dimensioned to produce an image of a predetermined area of the patient;
directing, via a second x-ray source, a second x-ray attenuation to a photon counting detector, where the photon counting detector to produce an image of a specific tissue target within the predetermined area; and
producing, via a processor, a final CT image based on the image of the predetermined area of the patient and the image of the specific tissue target within the predetermined image.
9. A computerized method for improving soft tissue analysis, the method comprising:
obtaining, via a computing device, a plurality of radiological images of patient, where each of the radiological images is obtained using different excitations;
selecting, by the computing device, a process among a plurality of processes to analyze the plurality of excitations based on an expected soft tissue type; and
segmenting, by the computer devices, the processed plurality of excitations to display the soft tissue,
wherein the plurality of processes comprises a digital subtraction process, digital addition process, a multivariate statistical process, or an excitation selection process, and wherein the digital subtraction process comprises subtracting a first subset of the plurality of radiological images from one or more of the plurality of radiological images not in the subset.
10. The computerized method of claim 9 wherein the plurality of radiological image are computerized tomography (CT) images and the different excitations are different x-ray energy.
11. The computerized method of claim 9 wherein the plurality of radiological image are Magnetic Resonance (MR) images and the different excitations are different radio frequency pulses.
12. A computerized method for improving soft tissue analysis, the method comprising:
obtaining, via a computing device, a plurality of radiological images of patient, where each of the radiological images is obtained using different excitations;
selecting, by the computing device, a process among a plurality of processes to analyze the plurality of excitations based on an expected soft tissue type; and
segmenting, by the computer devices, the processed plurality of excitations to display the soft tissue,
wherein the plurality of processes comprises a digital subtraction process, digital addition process, a multivariate statistical process, or an excitation selection process, and wherein the multivariate statistical process comprises:
combining the plurality of radiological images; and
removing inter-class dependencies through a multi-variate statistical approach.
13. The computerized method of claim 12 wherein the plurality of radiological image are computerized tomography (CT) images and the different excitations are different x-ray energy.
14. The computerized method of claim 12 wherein the plurality of radiological image are Magnetic Resonance (MR) images and the different excitations are different radio frequency pulses.
15. A computerized method for determining and displaying mixed tissue types, the method comprising:
receiving, via a computing device, a radiological image of a patient;
determining, via the computing device, a first tissue type in a region of interest based on the radiological image of the patient, wherein the first tissue type is represented by a grid of points across the region of interest; and
determining, via the computing device, a second tissue type, in the region of interest based on the radiological image of the patient, wherein the second tissue type is a focal region in the region of interest, wherein at least some of the grid points of the first tissue type coincide in position with the second tissue type.
16. The computerized method of claim 15 wherein the plurality of radiological image are computerized tomography (CT) images, Magnetic Resonance (MR) images, or ultrasound images.
17. The computerized method of claim 15 wherein the first tissue type and the second tissue type are overlaid when displayed.
18. The computerized method of claim 15 wherein the grid of points has varying densities.
19. The computerized method of claim 15 wherein the first tissue type is micro calcification, and the second tissue type is LNRC, dense calcification, or IPH.
20. The computerized method of claim 15 further comprising:
performing, via the computing device, multiple energy photon-counting K-edge subtraction imaging on the CT images;
performing, via the computing device, spectral image denoising with regularization models on the CT images;
improving the signal to noise ratio, via the computing device, of the calcium on the k-edge subtracted and de-noised CT images; and
segmenting, via the computing device, the improved calcium images to represent one or both of focally dense calcification and distributed microcalcification.