Particle emission tomography

US11249000B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11249000-B2
Application numberUS-201916653922-A
CountryUS
Kind codeB2
Filing dateOct 15, 2019
Priority dateNov 12, 2014
Publication dateFeb 15, 2022
Grant dateFeb 15, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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

Opening claim text (preview).

We claim: 1. A method for reconstructing a three dimensional (3D) distribution of a source of particles in a tissue sample, the method comprising the steps of: placing a particle-processing detector adjacent to a single side of the tissue sample; repeating, for each of a plurality of particles received from the single side of the tissue sample, the steps of: detecting the particle with the particle-processing detector, wherein the particle is a beta particle, alpha particle, positron, or electron; determining attributes of the particle; wherein the attributes comprise at least two of: (i) a two dimensional position corresponding to an interaction point where the particle interacts with the particle-processing detector; (ii) an energy that is deposited in the particle-processing detector by the particle; and (iii) 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; 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 received from the single side of the tissue sample, wherein the detector provides a spatial resolution of 750 nm to 1 μm. 2. The method of claim 1 , wherein the particle is emitted upon radioactive decay occurring in the tissue to be imaged, and has an initial energy that is known. 3. The method of claim 1 , further comprising determining the energy and angle of the particle. 4. The method of claim 1 , further comprising calculating a distance traveled for each of the plurality of particles within the tissue sample from the energy lost by each of the particles. 5. The method of claim 1 , wherein the interaction point corresponds to a two-dimensional position that the particle interacts with an active area of the particle-processing detector. 6. The method of claim 1 , wherein the interaction point corresponds to a two-dimensional position where the particle interacts with an entrance face of the particle-processing detector. 7. The method of claim 1 , wherein the attributes further comprises a particle interaction time, or the energy of the particle upon interacting with the detector. 8. The method of claim 1 , wherein the source of particles comprises a distribution of a radiopharmaceutical within the tissue sample. 9. The method of claim 8 , wherein the 3D distribution of the source of particles comprises a distribution of the radiopharmaceutical in the tissue. 10. The method of claim 8 , wherein the source is in vivo tissue or ex vivo tissue. 11. The method of claim 8 , wherein the source of particles is provided in a tissue sample having a thickness selected from the range of 1 μm to 100 μm. 12. The method of claim 8 , wherein the source of particles is located at a depth within a tissue selected from the range of 0 to 100 μm. 13. The method of claim 8 , wherein the source of particles comprises radioactive compositions within living tissue. 14. 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. 15. A method for reconstructing a three dimensional (3D) distribution of a source of particles in a tissue sample, the method comprising the steps of: placing a particle-processing detector adjacent to a single side of the tissue sample; repeating, for each of a plurality of particles received from the single side of the tissue sample, the steps of: detecting the particle with the particle-processing detector, wherein the particle is a beta particle, alpha particle, positron, or electron; determining attributes of the particle; wherein the attributes comprise at least two of: (i) a two dimensional position corresponding to an interaction point where the particle interacts with the particle-processing detector; (ii) an energy that is deposited in the particle-processing detector by the particle; and (iii) 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; 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 received from the single side of the tissue sample, wherein the at least a portion of the particle attributes are determined using a maximum-likelihood estimate algorithm. 16. A method for reconstructing a three dimensional (3D) distribution of a source of particles in a tissue sample, the method comprising the steps of: placing a particle-processing detector adjacent to a single side of the tissue sample; repeating, for each of a plurality of particles received from the single side of the tissue sample, the steps of: detecting the particle with the particle-processing detector, wherein the particle is a beta particle, alpha particle, positron, or electron; determining attributes of the particle; wherein the attributes comprise at least two of: (i) a two dimensional position corresponding to an interaction point where the particle interacts with the particle-processing detector; (ii) an energy that is deposited in the particle-processing detector by the particle; and (iii) 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; 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 received from the single side of the tissue sample, wherein the step of reconstructing the 3D distribution is performed using a list-mode maximum-likelihood expectation-maximization algorithm. 17. A device for reconstructing a three dimensional (3D) distribution of a source of particles 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, wherein the detector provides a spatial resolution of 750 nm to 1 μm; a processor positioned in data communication with the particle-processing detector, wherein the processor is configured for: determining attributes of a plurality of particles received from at least a single side of the tissue sample; wherein the attributes comprise at least two of: (i) a two dimensional position corresponding to an interaction point where the particle interacts with the particle-processing detector; (ii) an energy that is deposited in the particle-processing detector by the particle; and (iii) 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 plurality of particles received from at least a single side of the tissue sample; thereby generating attributes for each of the plurality of particles; 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 received from at least a single side of the tissue sample.

Assignees

Inventors

Classifications

  • G01T1/2942Primary

    using autoradiographic methods · CPC title

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

  • 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

  • for measuring coordinates of points · CPC title

  • using imaging; using holography · CPC title

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What does patent US11249000B2 cover?
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 t…
Who is the assignee on this patent?
Univ Arizona, Invicro Llc, Arizona Board Of Regents On Behalt Of The Univ Of Arizona
What technology area does this patent fall under?
Primary CPC classification G01T1/2942. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 15 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).