Deformable registration of preoperative volumes and intraoperative ultrasound images from a tracked transducer

US10980509B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10980509-B2
Application numberUS-201715592482-A
CountryUS
Kind codeB2
Filing dateMay 11, 2017
Priority dateMay 11, 2017
Publication dateApr 20, 2021
Grant dateApr 20, 2021

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Abstract

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Methods and systems are provided for registration of preoperative images to ultrasound images. The preoperative images are segmented using a shape model. An ultrasound procedure is performed to acquire the ultrasound images. The path of an ultrasound transducer used in the ultrasound procedure is tracked. The path is used to deform the segmented preoperative images, providing an alignment. The ultrasound images are registered to the preoperative images using the alignment.

First claim

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We claim: 1. A method for registration of a preoperative volume and ultrasound data, the method comprising: generating a segmented preoperative volume of an organ from the preoperative volume, the segmented preoperative volume comprising at least one or more anatomical landmarks; tracking a path of an ultrasound transducer over the one or more anatomical landmarks during a procedure to acquire the ultrasound data; generating a three-dimensional mesh of the path of the ultrasound transducer during the procedure; computing an initial rigid alignment between the segmented preoperative volume and the three-dimensional mesh; determining a deformation between the segmented preoperative volume and the three-dimensional mesh using at least the initial rigid alignment; adjusting, based on the determined deformation, one or more positions of the one or more of the anatomical landmarks in the segmented preoperative volume; generating a deformed segmented preoperative volume including the adjusted one or more anatomical landmarks; and registering the deformed preoperative volume to the ultrasound data. 2. The method of claim 1 , wherein generating the segmented preoperative volume comprises: segmenting the preoperative volume with a shape model. 3. The method of claim 2 , wherein the shape model comprises an average shape of the organ. 4. The method of claim 3 , wherein the segmented preoperative volume comprises one or more modes of variation of the organ and one or more coefficients for the one or more modes of variation. 5. The method of claim 1 , wherein the one or more anatomical landmarks comprise correspondence points for registering the deformed segmented preoperative volume to the ultrasound data. 6. The method of claim 1 , wherein tracking the path comprises tracking the ultrasound transducer with a motion sensor. 7. The method of claim 1 , wherein tracking the path comprises tracking the ultrasound transducer with an infrared sensor. 8. The method of claim 1 , wherein determining the deformation is based on the initial rigid alignment using a spline-based technique. 9. The method of claim 1 , wherein further comprising: segmenting, prior to registering, the ultrasound data using the deformed segmented preoperative volume; and registering the deformed segmented preoperative volume to the segmented ultrasound data. 10. The method of claim 1 , further comprising: displaying the deformed preoperative volume overlaid with the ultrasound data. 11. A system for registration of a preoperative volume and an ultrasound volume, the system comprising: a medical imaging system configured to acquire the preoperative volume; an ultrasound transducer configured to acquire the ultrasound volume; a tracker configured to track a path of the ultrasound transducer over one or more anatomical landmarks; and a processor configured to generate a segmented preoperative volume of the preoperative volume comprising the one or more anatomical landmarks, the processor further configured to generate a three-dimensional mesh of the path of the ultrasound transducer, compute an initial alignment between the three-dimensional mesh and the segmented preoperative volume, and adjust based on the initial alignment and one or more identified key points, one or more positions of the one or more of the anatomical landmarks in the segmented preoperative volume, the adjustment reflective of tissue deformation caused by the path of the ultrasound transducer, generate a deformed preoperative volume including the adjusted one or more anatomical landmarks, and register the deformed preoperative volume to the ultrasound volume. 12. The system of claim 11 , further comprising: a display configured to simultaneously display a combined view of the preoperative volume and ultrasound volume. 13. The system of claim 11 , wherein the processor generates the segmented preoperative volume using an average shape model. 14. The system of claim 11 , wherein the tracker comprises an infrared depth sensor.

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Classifications

  • combining images from different diagnostic modalities, e.g. ultrasound and X-ray · CPC title

  • adapted for acquisition of images from more than one imaging mode, e.g. combining MRI and optical tomography · CPC title

  • Liver; Hepatic · CPC title

  • involving models · CPC title

  • Measuring volume, e.g. of limbs · CPC title

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What does patent US10980509B2 cover?
Methods and systems are provided for registration of preoperative images to ultrasound images. The preoperative images are segmented using a shape model. An ultrasound procedure is performed to acquire the ultrasound images. The path of an ultrasound transducer used in the ultrasound procedure is tracked. The path is used to deform the segmented preoperative images, providing an alignment. The …
Who is the assignee on this patent?
Siemens Medical Solutions Usa Inc
What technology area does this patent fall under?
Primary CPC classification A61B8/4245. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 20 2021 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 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).