IP Library › Granted Patent US 11,969,273
Granted Patent B2
US 11,969,273 · App. 18/148,122 · Granted Apr 30, 2024

Medical devices for diagnostic imaging

Inventors: Eric P. Rubenstein (Ellington, CT); Peter R. Solomon (West Hartford, CT); Gordon A. Drukier (New Haven, CT); Marek A. Wojtowicz (East Hartford, CT); Joseph E. Cosgrove (Columbia, CT); Michael A. Serio (Sturbridge, MA); James R. Markham (Middlefield, CT); Kenneth W. Wang (New York, NY); William M. Pramenko (Burke, VA)
Assignee: IMAGE INSIGHT, INC.
A61B6/037A61B6/032A61B6/0492A61B6/107A61B6/4258A61B6/481G21F5/015
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Quick Facts
Patent No.
US 11,969,273
App. No.
18/148,122
Granted
Apr 30, 2024
Kind
B2
Abstract

A medical imaging system for detecting ionizing radiation. The system includes one or more pixilated imagers positioned to acquire patient image data and one or more position sensors positioned to acquire patient position data. Once the patient image data and patient position data are acquired, one or more processors operably connected to each of the one or more pixilated imagers and one or more position sensors calculate a three-dimensional mass distribution based on patient image data and patient position data.

Claims (70)

1. A system comprising:

a first group of one or more pixelated imager chips,

a second group of one or more pixelated imager chips,

one or more position sensors;

one or more processors;

memory in communication with the one or more processors and storing instructions that, when executed, are configured to cause the system to:

receive position data from the one or more position sensors, the position data associated with the first group of the one or more pixelated imager chips and the second group of the one or more pixelated imager chips;

receive first image data from the first group of the one or more pixelated imager chips;

generate a first model based on the first image data and the position data;

receive second image data from the second group of the one or more pixelated imager chips;

generate radiation data based on the second image data; and

generate a computed tomography using the radiation data and the first model.

2. The system of claim 1 , wherein:

the one or more pixelated imager chips are arranged in one or more planar arrays; and

the one or more planar arrays are positioned at different layers.

3. The system of claim 2 , wherein the planar arrays are mounted on a bed, table, chair, or combinations thereof.

4. The system of claim 1 , wherein the first group of one or more pixelated imager chips are LIDAR sensors.

5. The system of claim 1 , wherein the first group of one or more pixelated imager chips and the second group of one or more pixelated imager chips are configured to operate as direct detectors.

6. The system of claim 1 , wherein the first model is a mass distribution model and generating the first model further comprises:

determining, using image processing of the first image data, a size and features, of an object; and

generating a three-dimensional mass distribution model using the size and features of the object.

7. The system of claim 6 , wherein:

the object is a human body and the three-dimensional mass distribution model incorporates body system and organ structures; and

the three-dimensional mass distribution model is used to add constraints to the computed tomography and a shielding model.

8. The system of claim 1 , wherein the memory stores further instructions that are configured to cause the system to:

track a distribution of radioactivity over time using the computed tomography.

9. The system of claim 8 , wherein the memory stores further instructions that are configured to cause the system to:

display a change in the distribution of radioactivity over time using the computed tomography.

10. The system of claim 1 , wherein:

the first group of one or more pixelated imager chips, the second group of one or more pixelated imager chips, and the one or more position sensors are organized into one or more clusters, each of the one or more clusters comprising a pixelated imager chip of the first group, a pixelated imager chip of the second group, and a position sensor, and

the memory stores further instructions that are configured to cause the system to:

determine a relative position of each cluster; and

derive a shielding model based on the first model.

11. A system comprising:

one or more pixelated imager chips, arranged in one or more groups;

one or more position sensors;

one or more processors;

memory in communication with the one or more processors and storing instructions that, when executed, are configured to cause the system to:

receive position data from the position sensor, the position data associated with a position of the one or more pixelated imager chips;

receive first image data from a first group of the one or more pixelated imager chips;

generate a first model based on the first image data and the position data;

receive second image data from a second group of the one or more pixelated imager chips;

generate radiation data based on the second image data; and

generate a distribution of radioactivity using the radiation data and the first model.

12. The system of claim 11 , wherein the first model is a mass distribution model and the memory stores further instructions that are configured to cause the system to:

generate a computed tomography of the distribution of radioactivity using the radiation data and the mass distribution model, wherein the mass distribution model is used to constrain the computed tomography.

13. The system of claim 11 , wherein:

the one or more pixelated imager chips are arranged in one or more planar arrays, the one or more planar arrays are positioned at different layers; and

the pixelated imager chips are configured to operate as direct detectors.

14. The system of claim 11 , wherein the first model is a three-dimensional mass distribution model and the memory stores further instructions that are configured to cause the system to:

determine, using image processing of the first image data, a size and features, of an object; and

generate a three-dimensional mass distribution model using the size and features of the object.

15. The system of claim 11 , wherein the first group of the one or more pixelated imager chips comprise pixelated imager chips of a first type and the second group of the one or more pixelated imager chips comprise pixelated imager chips of a second type.

16. The system of claim 15 , wherein the first type of the one or more pixelated imager chips are LIDAR sensors.

17. The system of claim 11 , wherein the one or more pixelated imager chips comprise one or more of a photodiode, a color imager, a monochrome imager, a low light imager, an infrared imager, a thermal imager, a complementary metal-oxide-semiconductor imager, a charge-coupled device imager, or combinations thereof.

18. The system of claim 11 , the first image data and the second image data are still images, video images, or combinations thereof.

19. A system comprising:

one or more pixelated imager chips,

one or more position sensors;

one or more processors;

memory in communication with the one or more processors and storing instructions that, when executed, are configured to cause the system to:

receive position data from the one or more position sensors, the position data associated with the one or more pixelated imager chips;

receive image data from the one or more pixelated imager chips;

generate a first model based on the image data and the position data;

generate radiation data based on the image data; and

generate a distribution of radioactivity using the radiation data and the first model.

20. The system of claim 19 , wherein the first model is a mass distribution model and the memory stores further instructions that are configured to cause the system to:

generate a computed tomography using the radiation data and the mass distribution model;

track the distribution of radioactivity over time using the computed tomography; and

display a change in the distribution of radioactivity over time using the computed tomography.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2022
From: RUBENSTEIN, ERIC P.; SOLOMON, PETER R.; DRUKIER, GORDON A.; WOJTOWICZ, MAREK A.; COSGROVE, JOSEPH E.; SERIO, MICHAEL A.; MARKHAM, JAMES R.; WANG, KENNETH W.; PRAMENKO, WILLIAM M.
To: IMAGE INSIGHT, INC.
Reel/Frame 064319/0472 →
Continuity (5)
Continuation 16927651 · Jul 13, 2020
Division 16404342 · May 6, 2019
Division 15590751 · May 9, 2017
Provisional Application 62333754 · May 9, 2016
Related Publication 20230218244A1 · Jul 13, 2023