Volume rendering from three-dimensional medical data using quantum computing
To reduce complexity and corresponding run time, quantum computation is used for rendering a volume. The quantum computation may search for voxels along a ray or the minimum or maximum. The quantum computation may orient (e.g., rotate) data for more efficient searching for the maximum or minimum. Due to the superposition in quantum computing, the efficiency in volume rendering medical images is increased as compared to traditional binary approaches.
1. A method for volume rendering in medical imaging, the method comprising:
scanning a volume of a patient with a medical scanner, the scanning providing intensities representing the volume;
creating uniform superposition states representing positions of the intensities for the volume;
counting, by quantum amplitude amplification and estimation, voxels intersecting a ray from a pixel;
identifying, by quantum searching, the voxels intersecting the ray based on solutions initialized by the counting;
creating a superposition of the intensities of the identified voxels;
determining, by quantum finding, the minimum or maximum of the intensities of the identified voxels;
rendering the maximum or minimum intensity projection of the intensities representing the volume to a plane;
displaying an image of the maximum or minimum intensity projection, the image representing the patient.
2. The method of claim 1 wherein scanning comprises scanning with computed tomography, positron emission tomography, single photon emission computed tomography, x-rays, magnetic resonance, or ultrasound.
3. The method of claim 1 wherein scanning the volume comprises obtaining the intensities representing a three-dimensional distribution of locations in the volume, and wherein rendering comprises rendering to the image as a two-dimensional distribution of pixels from the three-dimensional distribution.
4. The method of claim 1 wherein rendering by the quantum computer comprises rendering with the quantum computation as a quantum algorithm using qubits with initialized values and measurement of a collapsed state of the qubits of the quantum computer.
5. The method of claim 1 wherein rendering comprises rendering the maximum intensity projection as pixels values each being a maximum along a ray from the pixel.
6. The method of claim 1 wherein rendering comprises rendering the minimum intensity projection as pixels values each being a minimum along a ray from the pixel.
7. The method of claim 1 wherein rendering with the quantum computation comprises rendering with a quantum search algorithm.
8. The method of claim 7 wherein rendering with the quantum search algorithm comprises searching for intensities representing the volume along each of different lines.
9. The method of claim 7 wherein rendering with the quantum search algorithm comprises searching for a minimum or maximum of the intensities representing the volume along each of different lines.
10. The method of claim 1 wherein rendering comprises rendering with a complexity of O(√{square root over (N)}) per pixel where N is a number of voxels in the volume.
11. The method of claim 1 wherein rendering comprises rotating, by the quantum computation, slices of the intensities representing the volume to be parallel with an image plane.
12. The method of claim 11 wherein rendering further comprises determining a maximum or minimum one of the intensities for each pixel of the image plane by comparison of the intensities of each rotated slice to buffered pixel values.
13. The method of claim 12 wherein rendering comprises rendering with a complexity of O(N*lnM*lnP) where N, M, and P are numbers of voxels along each spatial dimension of the volume.
14. A method for volume rendering in medical imaging, the method comprising:
acquiring medical scan data representing a volume of a patient, the medical scan data providing intensities representing the volume;
counting, by a quantum computer, a number of the intensities along a ray in the volume;
identifying, by the quantum computer, the intensities along the ray;
determining, by the quantum computer, a pixel value from the intensities along the ray;
generating, by the quantum computer, an image of the patient from the pixel values; and
displaying the volume rendered image of the patient.
15. The method of claim 14 wherein volume rendering comprises rendering a minimum or maximum intensity projection as the image.
16. The method of claim 14 wherein volume rendering comprises rotating slices of the intensities of the volume with the quantum computation.
17. A system for volume rendering in medical imaging, the system comprising:
a medical imaging system configured to scan an internal region of a patient and generate voxel data representing a volume comprising the internal region;
a quantum computer configured to create uniform superposition states representing positions of the intensities for the volume; count, by quantum amplitude amplification and estimation, voxels intersecting a ray from a pixel; identify, by quantum searching, the voxels intersecting the ray based on solutions initialized by the counting, wherein the quantum searching uses a regular grid that is rotated by quantum computation using an arbitrary angle through a plurality of shear transformations; create a superposition of the intensities of the identified voxels; determine, by quantum finding, the minimum or maximum of the intensities of the identified voxels; and render the maximum or minimum intensity projection of the intensities representing the volume to an image; and
a display configured to display the rendered image of the internal region.
18. The system of claim 17 wherein the quantum computer is configured to render the image as a minimum or maximum intensity projection.