Particle emission tomography

• US 10,444,136 B2
• Filed: 11/11/2015
• Issued: 10/15/2019
• Est. Priority Date: 11/12/2014
• Status: Active Grant

• Current Assignee: InviCRO LLC (Konica Minolta Inc.), Arizona Board of Regents (University of Arizona)
• Original Assignee: Arizona Board of Regents (University of Arizona)
• Inventors: Barrett, Harrison H., Ding, Yijun, Caucci, Luca, Hoppin, John William
• Primary Examiner(s): Bekele, Mekonen T
• Application Number:
  US15/526,514
• Publication Number:
  US 20170343460A1
• Time in Patent Office: 1,434 Days
• CPC Class Codes: A61B 6/037 Emission tomography
• CPC Class Codes: A61B 6/4241 using energy resolving detectors, e.g. photon counting
• CPC Class Codes: A61B 6/4258 for detecting non x-ray radiation, e.g. gamma radiation A61B6/037 takes precedence
• CPC Class Codes: A61B 6/5205 involving processing of raw data to produce diagnostic data
• CPC Class Codes: G01B 7/004 for measuring coordinates of points
• CPC Class Codes: G01N 15/02 Investigating particle size or size distribution by measuring osmotic pressure G01N7/10; investigating sedimentation of particle suspensions G01N15/04; investigating individual particles G01N15/10
• CPC Class Codes: G01N 15/0227 using imaging; using holography
• CPC Class Codes: G01T 1/2942 using autoradiographic methods

Abstract

The present invention provides autoradiography methods and systems for imaging via the detection of alpha particles, beta particles, or other charged particles. Embodiments of the methods and systems provide high-resolution 3D imaging of the distribution of a radioactive probe, such as a radiopharmaceutical, on a tissue sample. Embodiments of the present methods and systems provide imaging of tissue samples by reconstruction of a 3D distribution of a source of particles, such as a radiopharmaceutical. Embodiments of the methods and systems provide tomographic methods including microtomography, macrotomography, cryomicrotomography and cryomacrotomography.

Claims

1. A method for reconstructing a 3D distribution of a source of particles, the method comprising the steps of:

providing the source of particles from within a tissue sample, wherein the particles comprise beta particles, alpha particles, positrons, or conversion electrons;

repeating, for each of a plurality of the particles from the source, the steps of;

detecting the particle with a particle-processing detector;

determining attributes of the particle;

wherein the attributes comprise a two dimensional position corresponding to an interaction point within a plane where the particle interacts with the particle-processing detector, and at least one of the following;

(i) an energy that is deposited in the particle-processing detector by the particle; and

(ii) a direction of travel of the particle at the interaction point where the particle interacts with the particle-processing detector; and

storing the attributes of the particle;

thereby generating attributes for each of the plurality of particles from the source; and

reconstructing the 3D distribution of the source of particles using at least a portion of the attributes for each of the plurality of particles.

2. The method of claim 1, wherein the particle is emitted upon radioactive decay occurring in the tissue to be imaged.

3. The method of claim 1, wherein the particle-processing detector comprises a track detector.

4. The method of claim 3, wherein the track detector comprises a processor for determining attributes using a maximum-likelihood algorithm.

5. The method of claim 1, wherein the particles are alpha particles and the method further comprises calculating an energy lost for each of the plurality of particles while traveling in the tissue sample and calculating a distance traveled for each of the plurality of particles within the tissue sample from the energy lost by each of the particles.

6. The method of claim 1, wherein the attributes further comprise a particle interaction time.

7. The method of claim 1, further comprising a step of administering the source of particles to a patient, subject or tissue, wherein the source of particles comprises one or more of a radiopharmaceutical, a radioisotope or a radiotracer.

8. The method of claim 1, wherein the particle-processing detector comprises a semiconductor detector, wherein the semiconductor detector provides an energy resolution equal to or better than 10% of the total energy deposited by the particle in the particle-processing detector.

9. The method of claim 8, wherein the semiconductor detector provides a position resolution equal to or better than 10 μ

m.

10. The method of claim 8, wherein the particle-processing detector comprises a layer of semiconductor material comprising an active volume and a set of anodes;

wherein the set of anodes is provided in electrical contact with a side of the active volume opposite an entrance face of the particle-processing detector.

11. The method of claim 1, wherein the particle-processing detector comprises a processor for determining the attributes using a maximum-likelihood algorithm.

12. The method of claim 1, wherein the particle-processing detector comprises a scintillation camera or a silicon sensor.

13. The method of claim 12, wherein the scintillation camera comprises a scintillation crystal, a PiN diode array, and a light guide wherein the light guide is a glass spacer.

14. The method of claim 13, wherein the scintillation camera further comprises a charge-coupled device (CCD), or a complementary metal-oxide-semiconductor (CMOS) detector.

15. The method of claim 1, wherein the attributes further comprise one or more additional attributes including at least a portion of:

a time, and one or more angles characterizing a direction of travel along the independent particle trajectory at the 2D position.

16. The method of claim 1, wherein the attributes comprise a set of parameters that are estimated for each particle as an estimated parameter vector and stored as entries in an attribute list, 3D grid of bins or a database.

17. The method of claim 16, wherein the estimation of the set of parameters is performed using a maximum-likelihood search algorithm.

18. The method claim 1, wherein the step of reconstructing the 3D distribution is performed using a list-mode maximum-likelihood expectation-maximization algorithm.

19. The method of claim 1, wherein the step of reconstructing the 3D distribution of the source of particles comprises calculating a probability density function for each of a plurality of locations within the source of particles.

20. The method of claim 1, wherein the step of reconstructing the 3D distribution of the source of particles is carried out using an Ordered Subsets-Expectation Maximization (OSEM) algorithm, an Algebraic Reconstruction Technique (ART), or a Simultaneous Iterative Reconstructive Technique (SIRT).

21. The method of claim 1, further comprising providing a visual display of the 3D distribution of the source of particles.

22. The method of claim 1, further comprising, for at least a portion of said particles, independently measuring an image corresponding to a track of said particle interacting with the particle-processing detector.

23. The method of claim 22, further comprising, for at least a portion of said particles, determining one or more additional attributes of each of said particles using said image corresponding to said track of the particle, wherein said one or more additional attributes are selected from the group consisting of a 2D position of a start of said particle track, a direction of travel of a particle at a point along said particle track, and a total energy deposited by a particle along a particle track.

24. The method of claim 1, wherein the attributes comprise each of the following:

a two dimensional position corresponding to an interaction point within a plane where the particle interacts with the particle-processing detector;

an energy that is deposited in the particle-processing detector by the particle; and

a direction of travel of the particle at the interaction point where the particle interacts with the particle-processing detector.

25. A device for reconstructing a 3D distribution of a source of particles from within a tissue sample, wherein the particles comprise beta particles, alpha particles, positrons, or conversion electrons, the device comprising:

a particle-processing detector for detecting particles;

a processor positioned in data communication with the particle-processing detector, wherein the processor is configured for;

determining attributes of the particle;

wherein the attributes comprise a two dimensional position corresponding to an interaction point within a plane where the particle interacts with the particle-processing detector, and at least one of the following;

(i) an energy that is deposited in the particle-processing detector by the particle; and

(ii) a direction of travel of the particle at the interaction point where the particle interacts with the particle-processing detector; and

storing the attributes of the particle;

thereby generating attributes for each of the plurality of particles from the source; and

reconstructing the 3D distribution of the source of particles using at least a portion of the attributes for each of the plurality of particles.

26. The device of claim 25, wherein the particle-processing detector comprises a silicon sensor or a scintillation camera.

27. The device of claim 25, wherein the particle-processing detector further comprises a tomographic imaging system, a GPU, FPG or an application-specific integrated circuit (ASIC).

28. The device of claim 25, wherein the particle-processing detector comprises a track detector.

29. The device of claim 25, wherein the attributes comprise each of the following:

a two dimensional position corresponding to an interaction point within a plane where the particle interacts with the particle-processing detector;

an energy that is deposited in the particle-processing detector by the particle; and

a direction of travel of the particle at the interaction point where the particle interacts with the particle-processing detector.

30. A device for reconstructing a 3D distribution of a source of particles from within a tissue sample, wherein the particles comprise beta particles, alpha particles, positrons, or conversion electrons, the device comprising:

a particle-processing detector for detecting particles;

a processor positioned in data communication with the particle-processing detector, wherein the processor is configured for;

determining attributes of the particle;

wherein the attributes comprise a two dimensional position corresponding to an interaction point within a plane where the particle interacts with the particle-processing detector, and at least one of the following;

(i) an energy that is deposited in the particle-processing detector by the particle; and

(ii) a direction of travel of the particle at the interaction point where the particle interacts with the particle-processing detector; and

storing the attributes of the particle;

thereby generating attributes for each of the plurality of particles from the source; and

reconstructing the 3D distribution of the source of particles using at least a portion of the attributes for each of the plurality of particles.

31. The device of claim 30, wherein the attributes comprise each of the following:

a two dimensional position corresponding to an interaction point within a plane where the particle interacts with the particle-processing detector;

an energy that is deposited in the particle-processing detector by the particle; and

a direction of travel of the particle at the interaction point where the particle interacts with the particle-processing detector.