Method for characterising an ultrasound wound in organic tissues

US10327732B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10327732-B2
Application numberUS-201414917605-A
CountryUS
Kind codeB2
Filing dateOct 7, 2014
Priority dateOct 8, 2013
Publication dateJun 25, 2019
Grant dateJun 25, 2019

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  1. Title

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  2. Abstract

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Abstract

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The method of characterizing an ultrasound lesion (T) in organic tissues, the lesion being made by applying high intensity focused ultrasound delivered by a probe having its emission surface presenting a shape that is toroidal, consists in: after a period of at least two days from the end of ultrasound application, acquiring at least one characterization image (Ic) of the organic tissues; detecting the presence of a contrast border ( 16 ) in the characterization image (Ic); and from the contrast border ( 16 ), determining the extent of the ultrasound lesion.

First claim

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The invention claimed is: 1. A method of determining an extent of an ultrasound-generated lesion in an organic tissue, the ultrasound generated lesion being made by applying high intensity focused ultrasound delivered by a probe comprising an emission surface having a shape that is toroidal or pseudo-cylindrical, the method comprising: acquiring a reference image of the organic tissue prior to applying the high intensity focused ultrasound; applying the high intensity focused ultrasound delivered by the probe; after a period of at least two days, but less than thirty days, from the end of the high intensity focused ultrasound application, acquiring at least one characterization image of the organic tissue; detecting a presence of a contrast border in the characterization image using digital image processing; wherein the contrast border is in a form of a line having a light intensity that is greater than a light intensity of surrounding tissue; wherein the contrast border corresponds to precipitated calcium; and determining the extent of the ultrasound-generated lesion from the contrast border after processing the reference and characterization images using digital image processing. 2. The method according to claim 1 , wherein the contrast border is a closed contrast border. 3. The method according to claim 1 , comprising acquiring the characterization image after a period in a range of from six days to thirty days. 4. The method according to claim 1 , wherein the organic tissue is liver tissue. 5. The method according to claim 1 , comprising acquiring the characterization image after a period of eight days. 6. The method according to claim 1 , wherein precipitated calcium comprises agglomerations of precipitated calcium. 7. The method according to claim 1 , comprising identifying, within the contrast border, a high-level echo zone and a low-level echo zone located between the high-level echo zone and the contrast border. 8. The method according to claim 7 , comprising calculating a ratio between the area defined by the ultrasound-generated lesion in the characterization image and the area defined by a tumor in the reference image. 9. The method according to claim 1 , comprising comparing the reference image with the characterization image in order to monitor therapeutic margins. 10. The method according to claim 9 , comprising: acquiring a plurality of reference images of the organic tissue prior to applying the high intensity focused ultrasound; after a period of at least two days, but less than thirty days, from the end of the high intensity focused ultrasound application, acquiring a plurality of characterization images of the organic tissue; and using the plurality of characterization images and the plurality of reference images to calculate a ratio between a volume defined by the ultrasound-generated tissue lesion in the plurality of characterization images and the volume defined by a tumor in the reference images. 11. A method of treating and characterizing a biological tissue in a mammal, the method comprising: acquiring a reference image of the biological tissue prior to applying high intensity focused ultrasound to the biological tissue; applying high intensity focused ultrasound to the biological tissue using a probe comprising an emission surface having a shape that is toroidal or pseudo-cylindrical; after a period of at least two days, but less than thirty days, from the end of the high intensity focused ultrasound application, acquiring at least one characterization image of the biological tissue; detecting a presence of a contrast border in the characterization image using digital image processing; wherein the contrast border is in a form of a line having a light intensity that is greater than a light intensity of surrounding tissue; wherein the contrast border corresponds to precipitated calcium; and determining, from the contrast border, an extent of a lesion in the biological tissue made by applying the high intensity focused ultrasound, after processing the reference and characterization images using digital image processing. 12. The method according to claim 11 , wherein the mammal is a human. 13. The method according to claim 11 , wherein the contrast border that is detected is a closed contrast border. 14. The method according to claim 11 , comprising identifying, within the contrast border, a high-level echo zone and a low-level echo zone located between the high-level echo zone and the contrast border. 15. The method according to claim 11 , comprising comparing the reference image with the characterization image in order to monitor therapeutic margins. 16. The method according to claim 11 , comprising calculating a ratio between the area defined by the ultrasound-generated lesion in the characterization image and the area defined by a tumor in the reference image. 17. The method according to claim 11 , comprising: acquiring a plurality of reference images of the biological tissue prior to applying the high intensity focused ultrasound; after a period of at least two days, but less than thirty days, from the end of the high intensity focused ultrasound application, acquiring a plurality of characterization images of the biological tissue; and using the plurality of characterization images and the plurality of reference images to calculate a ratio between a volume defined by the ultrasound-generated lesion in the plurality of characterization images, and the volume defined by a tumor in the reference images. 18. The method according to claim 11 , comprising acquiring the characterization image after a period of from six days to thirty days. 19. The method according to claim 11 , comprising acquiring the characterization image after a period of eight days. 20. The method according to claim 11 , wherein the biological tissue is liver tissue. 21. The method according to claim 11 , wherein the mammal is a human. 22. The method according to claim 11 , wherein precipitated calcium comprises agglomerations of precipitated calcium.

Assignees

Inventors

Classifications

  • for calculating health indices; for individual health risk assessment · CPC title

  • Localised ultrasound hyperthermia · CPC title

  • for extracting a diagnostic or physiological parameter from medical diagnostic data (for algorithms to analyse biomedical images G06T7/0012) · CPC title

  • A61B8/085Primary

    for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules · CPC title

  • Clinical applications (A61B8/02, A61B8/04, A61B8/06 take precedence) · CPC title

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What does patent US10327732B2 cover?
The method of characterizing an ultrasound lesion (T) in organic tissues, the lesion being made by applying high intensity focused ultrasound delivered by a probe having its emission surface presenting a shape that is toroidal, consists in: after a period of at least two days from the end of ultrasound application, acquiring at least one characterization image (Ic) of the organic tissues; detec…
Who is the assignee on this patent?
Edap Tms France, Inst Nat Sante Rech Med
What technology area does this patent fall under?
Primary CPC classification A61B8/085. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 25 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).