Medical image diagnosis system and control method thereof
US-2024389982-A1 · Nov 28, 2024 · US
US9629615B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-9629615-B1 |
| Application number | US-201414480313-A |
| Country | US |
| Kind code | B1 |
| Filing date | Sep 8, 2014 |
| Priority date | Sep 6, 2013 |
| Publication date | Apr 25, 2017 |
| Grant date | Apr 25, 2017 |
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 cardiac motion estimation includes: receiving a set of echocardiographic images of a heart, the echocardiographic images including B-mode ultrasonic images and Tissue Doppler Imaging (TDI) images; and calculating, by the image processing machine, a motion field representing the motion of the heart using the B-mode ultrasonic images and applying a velocity constraint from the TDI images. A system for cardiac motion estimation, includes: an imaging device configured to acquire a set of echocardiographic images of a heart, the echocardiographic images including B-mode ultrasonic images and TDI images; a data storage device in communication with the imaging device and configured to store the set of echocardiographic images; an image processing machine in communication with the data storage device and configured to calculate a motion field representing the motion of the heart using the B-mode ultrasonic images and applying a velocity constraint from the TDI images.
Opening claim text (preview).
What is claimed is: 1. A method for cardiac motion estimation, comprising: receiving, by an image processing machine, a set of echocardiographic images of a heart, the echocardiographic images including B-mode ultrasonic images and Tissue Doppler Imaging (TDI) images; transforming, by the image processing machine, the set of echocardiographic images of the heart into a motion field representing the motion of the heart by simultaneously combining motion components in a plurality of directions from speckle data from the B-mode ultrasonic images and information from the TDI images; and outputting, to an output device, the motion field representing motion of the heart. 2. The method of claim 1 , wherein transforming the set of echocardiographic images of the heart into the motion field utilizes an optical flow energy function which combines: B-mode intensity constancy; motion smoothness; and Doppler/B-mode velocity similarity. 3. The method of claim 2 , wherein B-mode intensity constancy is formulated as: E data =|I ( p+w+dw )− I ( p )| 2 where: p=(x, y, t) and the flow field is w(p)=(u(p),v(p),1) where u and v are the motion vectors and x, y, and t are the spatial and temporal dimensions; I(p) is the pixel intensity at location p and I(p+w) is the pixel intensity from a subsequent image at location p+w, assuming that the pixel intensity is the same along the motion vector; which is linearized using Taylor series expansion as: I t ( p+w+dw )− I ( p )= I t ( p )+ I x ( p ) du ( p )+ I y ( p ) dv ( p ) with I x ( p ) = ∂ I ( p + w ) ∂ x I y ( p ) = ∂ I ( p + w ) ∂ y I t ( p )= I ( p+w )− I ( p ); wherein motion smoothness is formulated as: E s =|∇( u+du )| 2 +|∇( v+dv )| 2 with ∇ ( u + du ) 2 = ( ∂ ( u + du ) ∂ x ) 2 + ( ∂ ( u + du ) ∂ y ) 2 ; and wherein Doppler/B-mode velocity similarity is formulated as: E tdi =( {right arrow over (v)} T {right arrow over (v)} t −w tdi ) 2 =( u t u+v t v−w tdi ) 2 where: {right arrow over (v)}=(u, v) is the B-mode velocity; {right arrow over (v t )}=(u t , v t ) is the transducer orientation; and w tdi is the TDI velocity; such that the energy function to be minimized is: E ( u , v ) = E data + α E s + βψ ( E tdi ) = ∫ Ω ( I ( P + w + ⅆ w ) - I ( p ) 2 + α ( ∇ ( u + du ) 2 +
for calculating health indices; for individual health risk assessment · CPC title
characterised by displaying multiple images or images and diagnostic data on one display · CPC title
for diagnosis of the heart · CPC title
for extracting a diagnostic or physiological parameter from medical diagnostic data (for algorithms to analyse biomedical images G06T7/0012) · CPC title
involving Doppler signals · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.