Extended interior methods and systems for spectral, optical, and photoacoustic imaging
The present invention relates to the field of medical imaging. More particularly, embodiments of the invention relate to methods, systems, and devices for imaging, including for tomography-based applications. Embodiments of the invention include, for example, a computed tomography based imaging system comprising: (a) at least one wide-beam gray-scale imaging chain capable of performing a global scan of an object and acquiring projection data relating to the object; (b) at least one narrow-beam true-color imaging chain capable of performing a spectral interior scan of a region of interest (ROI) of and acquiring projection data relating to the object; (c) a processing module operably configured for: (1) receiving the projection data; (2) reconstructing the ROI into an image by analyzing the data with a color interior tomography algorithm, aided by an individualized gray-scale reconstruction of an entire field of view (FOV), including the ROI; and (d) a processor for executing the processing module. The extended interior methods and systems for spectral, optical, and photoacoustic imaging presented in this application can lead to better medical diagnoses by providing images with higher resolution or quality, and can lead to safer procedures by providing systems capable of reducing a patient's exposure time to, and thus quantity of, potentially harmful x-rays. Embodiments of the invention also provide tools for real-time tomography-based analyses.
1. A computed tomography based imaging system comprising:
at least one wide-beam gray-scale imaging chain capable of performing a global scan of an object and acquiring projection data relating to the object;
at least one narrow-beam true-color imaging chain capable of performing a spectral interior scan of a region of interest (ROI) of and acquiring projection data relating to the object;
a processing module operably configured for:
receiving the projection data;
reconstructing the ROI into an image by analyzing the data with a color interior tomography algorithm, aided by an individualized gray-scale reconstruction of an entire field of view (FOV), including the ROI; and
a processor for executing the processing module.
2. The system of claim 1 , wherein each imaging chain comprises an x-ray source and detector pair, and each pair is operably disposed on a common rotating slip ring.
3. The system of claim 1 , further comprising multi-source interior true-color micro-CT for ultra-fast data acquisition.
4. The system of claim 1 , wherein the imaging chains are operated simultaneously or sequentially or combination thereof.
5. The system of claim 1 , wherein the interior tomography algorithm is further operably configured for:
reconstructing the local images using the datasets from different energy levels;
extracting features from reconstructed images of different energy levels.
6. The system of claim 5 , wherein the processing module is operably configured for extracting features for volume information using the principal component analysis method.
7. A computed tomography based imaging method comprising:
performing a global scan of an object and acquiring projection data relating to the object using at least one wide-beam gray-scale imaging chain;
performing a spectral interior scan of a region of interest (ROI) of and acquiring projection data relating to the object using at least one narrow-beam true-color imaging chain;
reconstructing the ROI into an image by analyzing the projection data with a color interior tomography algorithm, aided by an individualized gray-scale reconstruction of an entire field of view (FOV), including the ROI.
8. The method of claim 7 , wherein each imaging chain comprises an x-ray source and detector pair, and each pair is operably disposed on a common rotating slip ring.
9. The method of claim 8 , further comprising multi-source interior true-color micro-CT for ultra-fast data acquisition.
10. The method of claim 8 , wherein the imaging chains are operated simultaneously or sequentially or a combination thereof.
11. The method of claim 8 , wherein the interior tomography algorithm is further operably configured for:
reconstructing the local images using the datasets from different energy levels;
extracting features from all the reconstructed images of different energy levels.
12. The method of claim 11 , wherein the principal component analysis method is used to extract features for volume information.