Particle emission tomography

Patent metadata

Field	Value
Publication number	US-12247906-B2
Application number	US-202117506396-A
Country	US
Kind code	B2
Filing date	Oct 20, 2021
Priority date	Nov 12, 2014
Publication date	Mar 11, 2025
Grant date	Mar 11, 2025

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.

First claim

We claim:

1. 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 include:
(i) a particle interaction time; and
(ii) energy of the particle upon interacting with the detector;

and wherein the attributes additionally include at least two of:
(iii) a two dimensional position corresponding to an interaction point where the particle interacts with the particle-processing detector;
(iv) an energy that is deposited in the particle-processing detector by the particle; or
(v) a direction of travel of the particle; and

storing the attributes of the particle;
thereby generating attributes for each of a 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 device of claim 1 , wherein the processor comprises a computer, or other hardware equivalent implementing a computer software.

3. The device of claim 1 , wherein the processor is able to reconstruct the 3D distribution using a tomographic reconstruction algorithm, a particle transport algorithm, or both.

4. The device of claim 1 , wherein the processor is able to reconstruct the 3D distribution using a maximum-likelihood algorithm.

5. The device of claim 1 , wherein the processor is able to reconstruct the 3D distribution using a list-mode maximum-like expectation-maximization algorithm.

6. The device of claim 1 , wherein the processor is able to reconstruct the 3D distribution using an Ordered Subsets-Expectation Maximization (OSEM) algorithm, an Algebraic Reconstruction Technique (ART), or a Simultaneous Iterative Reconstructive Technique (SIRT).

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

8. The device of claim 1 , wherein the particle-processing detector comprises a track detector.

9. The device of claim 1 , wherein the particle-processing detector further comprises a graphics processing unit (GPU), field-programmable gate array (FPGA), or an application-specific integrated circuit (ASIC).

10. The device of claim 1 comprising a tomographic imaging system.

11. The device of claim 1 , wherein the particles comprise alpha particles.

12. The device of claim 1 , wherein the attributes further comprise a type of tissue sample that the particle travels through, one or more angles characterizing a direction of travel along an independent particle trajectory at a 2D position, or a 2D position of a start of a particle track.

13. The device of claim 1 , wherein the processor is able to reconstruct the 3D distribution using a tomographic reconstruction algorithm, a particle transport algorithm, a maximum-likelihood algorithm, an Ordered Subsets-Expectation Maximization (OSEM) algorithm, an Algebraic Reconstruction Technique (ART), or a Simultaneous Iterative Reconstructive Technique (SIRT).

Assignees

• Univ Arizona
• Invicro Llc

Inventors

• Barrett Harrison H
• Ding Yijun
• Caucci Luca
• Hoppin John William

Classifications

• G01N15/02

  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 title

• G01B7/004

  for measuring coordinates of points · CPC title

• A61B6/5205

  involving processing of raw data to produce diagnostic data · CPC title

• G01T1/2942 Primary

  using autoradiographic methods · CPC title

• A61B6/4258

  for detecting non x-ray radiation, e.g. gamma radiation (A61B6/037 takes precedence) · CPC title