WO2014055910A3 - Automatic stent detection - Google Patents

Automatic stent detection Download PDF

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Publication number
WO2014055910A3
WO2014055910A3 PCT/US2013/063524 US2013063524W WO2014055910A3 WO 2014055910 A3 WO2014055910 A3 WO 2014055910A3 US 2013063524 W US2013063524 W US 2013063524W WO 2014055910 A3 WO2014055910 A3 WO 2014055910A3
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WO
WIPO (PCT)
Prior art keywords
image
input
intraluminal
intraluminal image
training set
Prior art date
Application number
PCT/US2013/063524
Other languages
French (fr)
Other versions
WO2014055910A2 (en
Inventor
Elizabeth Begin
Nathaniel J. Kemp
Jason Sproul
Badr Elmaanaoui
Original Assignee
Elizabeth Begin
Kemp Nathaniel J
Jason Sproul
Badr Elmaanaoui
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Elizabeth Begin, Kemp Nathaniel J, Jason Sproul, Badr Elmaanaoui filed Critical Elizabeth Begin
Priority to CA2887431A priority Critical patent/CA2887431A1/en
Priority to EP13843546.6A priority patent/EP2903513A4/en
Priority to EP18248140.8A priority patent/EP3494880B1/en
Priority to JP2015535834A priority patent/JP2015532860A/en
Publication of WO2014055910A2 publication Critical patent/WO2014055910A2/en
Publication of WO2014055910A3 publication Critical patent/WO2014055910A3/en

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Abstract

This invention relates generally to the detection of objects, such as stents, within intraluminal images using principal component analysis and/or regional co variance descriptors. In certain aspects, a training set of pre-defined intraluminal images known to contain an object is generated. The principal components of the training set can be calculated in order to form an object space. An unknown input intraluminal image can be obtained and projected onto the object space. From the projection, the object can be detected within the input intraluminal image. In another embodiment, a covariance matrix is formed for each pre-defined intraluminal image known to contain an object. An unknown input intraluminal image is obtained and a covariance matrix is computed for the input intraluminal image. The covariances of the input image and each image of the training set are compared in order to detect the presence of the object within the input intraluminal image.
PCT/US2013/063524 2012-10-05 2013-10-04 Automatic stent detection WO2014055910A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CA2887431A CA2887431A1 (en) 2012-10-05 2013-10-04 Automatic stent detection
EP13843546.6A EP2903513A4 (en) 2012-10-05 2013-10-04 Automatic stent detection
EP18248140.8A EP3494880B1 (en) 2012-10-05 2013-10-04 Automatic stent detection
JP2015535834A JP2015532860A (en) 2012-10-05 2013-10-04 Automatic stent detection

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261710429P 2012-10-05 2012-10-05
US61/710,429 2012-10-05

Publications (2)

Publication Number Publication Date
WO2014055910A2 WO2014055910A2 (en) 2014-04-10
WO2014055910A3 true WO2014055910A3 (en) 2015-07-02

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US (2) US9307926B2 (en)
EP (2) EP2903513A4 (en)
JP (1) JP2015532860A (en)
CA (1) CA2887431A1 (en)
WO (1) WO2014055910A2 (en)

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US20160292857A1 (en) 2016-10-06
US9307926B2 (en) 2016-04-12
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