Automatic detection of an artifact in patient image
US-10628963-B2 · Apr 21, 2020 · US
US2024371013A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024371013-A1 |
| Application number | US-202218565826-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 1, 2022 |
| Priority date | Jun 1, 2021 |
| Publication date | Nov 7, 2024 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A method for simultaneously registering a plurality of computed tomography (CT) scans of a region of interest of a subject including a subject's lungs for quantitative lung analysis includes receiving a plurality of CT scans of the region of interest acquired with a CT imaging system, receiving a breathing surrogate data for the subject, the breathing surrogate data comprising an amplitude for each of the plurality of CT scans and determining a deformation based on the plurality of CT scans and the breathing surrogate data using an iterative optimization process of an objective function. The objective function can include a first term based on an approximation of local changes in Hounsfield Units (HU) adjusted for breathing of the subject and a second term based on error in the conservation of mass. At least one quantitative lung parameter may be determined based on the deformation.
Opening claim text (preview).
1 . A method for simultaneously registering a plurality of computed tomography (CT) scans of a region of interest of a subject including a subject's lungs for quantitative lung analysis, the method comprising: receiving a plurality of CT scans of the region of interest acquired with a CT imaging system; receiving a breathing surrogate data for the subject, the breathing surrogate data comprising an amplitude for each of the plurality of CT scans; and determining a deformation based on the plurality of CT scans and the breathing surrogate data using an iterative optimization process of an objective function having a first term based on an approximation of local changes in Hounsfield Units (HU) adjusted for breathing of the subject and a second term based on error in the conservation of mass. 2 . The method according to claim 1 , wherein the deformation is a deformation vector field (DVF). 3 . The method according to claim 1 , wherein the objective function is given by: HU i ′ - HU j ′ p + α ΔΓ ij p where HU are Hounsfield units of the CT scans within a lung boundary, α is a parameter used to adjust the relative importance of the first term and the second term, ΔΓ ij is a mathematical description of the conservation of mass, i and j refer to scans such that i≠j, and p is the p norm. 4 . The method according to claim 3 , wherein the first term is given by: ( HU i ′ - HU j ′ ) = ( HU i - HU j ) + dHU dA ( A j - A i ) where HU, is an HU value of scan i, HU j is an HU value of scan j, dHU/dA is a slope of a fit of all HUs to their respective amplitudes, A i is a surrogate amplitude of scan i, A j is a surrogate amplitude of scan j, and one of i and j is a reference scan. 5 . The method according to claim 3 , wherein the second term is given by one of: ΔΓ ij = J ij - ρ i / ρ j 2 or the inverse relationship ΔΓ ij ′ = 1 / J ij - ρ j / ρ i 2 where J is the Jacobian of a deformation vector field (DVF), ρ i is a tissue density determined by scan i, and ρ j is a tissue density determined by scan j. 6 . The method according to claim 1 , further comprising determining at least one quantitative lung parameter based on the deformation. 7 . The method according to claim 6 , wherein the at least one quantitative lung parameter is ventilation. 8 . The method according to claim 7 , wherein the ventilation is determined as a parameterization of a Jacobian of a deformation vector field (DVF) as a function of the breathing amplitude. 9 . The method according to claim 7 , wherein the ventilation (V) is determined as a rate of change of the Jacobian (J) of the deformation vector field (DVF) with respect to breathing amplitude (A) as given by: V = dJ dA . 10 . The method according to claim 1 , wherein each CT scan in the plurality of CT scans is acquired during free-breathing. 11 . The method according to claim 1 , wherein each CT scan in the plurality of CT scans is acquired during modified breathing. 12 . The method according to claim 1 , wherein the amplitude is calibrated based on a position of a diaphragm dome of the subject in at least one of the plurality of CT scans. 13 . The method according to claim 1 , wherein determining a deformation based on the plurality of CT scans and the breathing surrogate data using an iterative optimization process of the objective function comprises determining a deformation vector field that minimizes the objective function. 14 . A system for simultaneously registering a plurality of computed tomography (CT) scans of a region of interest of a subject including a subject's lungs for quantitative lung analysis, the system comprising: a processor device; and a non-transitory computer-readable memory storing instructions executable by the processor device, wherein the instructions, when executed by the processor device, cause the system to: receive a plurality of CT scans of the regio
Lung · CPC title
Computed x-ray tomography [CT] · CPC title
Biomedical image inspection · CPC title
specially adapted for specific body parts; specially adapted for specific clinical applications · CPC title
Transmission computed tomography [CT] · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.