IP Library Granted Patent US 11,657,486
Granted Patent B2
US 11,657,486 · App. 17/874,617 · Granted May 23, 2023

Systems and methods for improving soft tissue contrast, multiscale modeling and spectral CT

Inventors: Andrew J. Buckler (Boston, MA); Changguo Ji (Lexington, MA); Murali Ayyapillai (Acton, MA)
Assignee: ELUCID BIOIMAGING INC.
G06T5/50A61B6/4241A61B6/463A61B6/482A61B6/504A61B6/5247G06T7/0012G06T7/174G06T2207/10081G06T2207/10088G06T2207/10132G06T2207/20216G06T2207/20224
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,657,486
App. No.
17/874,617
Filed
Jul 27, 2022
Granted
May 23, 2023
Kind
B2
Art Unit
2884
USPC
378/9
Abstract

Systems and methods for improving soft tissue contrast, characterizing tissue, classifying phenotype, stratifying risk, and performing multi-scale modeling aided by multiple energy or contrast excitation and evaluation are provided. The systems and methods can include single and multi-phase acquisitions and broad and local spectrum imaging to assess atherosclerotic plaque tissues in the vessel wall and perivascular space.

Claims (12)

1. A hybrid computerized tomography (CT) scanner comprising:

a first x-ray source that directs a first x-ray attenuation to an energy integrating detector, wherein the energy integrated detector is dimensioned to produce an image of a predetermined area of a patient;

a second x-ray source that directs a second x-ray attenuation to a photon counting detector, where the photon counting detector to produce an image of a specific tissue target within the predetermined area;

a processor to produce a final CT image based on the image of the predetermined area of the patient and the image of the specific tissue target within the predetermined image,

wherein the processor is configured to analyze tissue types, the analysis comprising:

selecting a process among a plurality of processes to analyze the final CT image based on an expected soft tissue type; and

segmenting the processed final CT image to display the soft tissue.

2. The hybrid scanner of claim 1 wherein the energy integrating detector and the photon counting detector are positioned to interrogate the same field of view.

3. The hybrid CT scanner of claim 1 wherein the image of a predetermine area of a patient is a grayscale CT image.

4. The hybrid CT scanner of claim 1 wherein the image of the specific tissue target within the predetermined image is a spectral CT image.

5. The hybrid CT scanner of claim 1 wherein the energy integrating detector relative to its first x-ray source is positioned at a 90 degree difference between the photon counting detector and its second x-ray source.

6. The hybrid CT scanner of claim 1 wherein the photon counting detector comprises multiple energy bins that are configured to image a specific tissue target.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 17, 2022
From: BUCKLER, ANDREW J. J.; JI, CHANGGUO; AYYAPILLAI, MURALI
To: ELUCID BIOIMAGING INC.
Reel/Frame 060832/0856 →
Continuity (3)
Division 17566439 · Dec 30, 2021
Provisional Application 63147609 · Feb 9, 2021
Related Publication 20220383464A1 · Dec 1, 2022
Cited By (17)
US 12,245,882 US 12,283,046 US 12,299,885 US 12,324,695 US 12,324,696 US 12,380,560 US 12,396,695 US 12,406,365 US 12,440,180 US 12,499,539 US 12,555,228 US 12,558,048 US 12,599,352 US 12,620,092 US 12,635,965 US 12,712,082 US 12,714,382