Positioning anatomical landmarks in volume data sets
US9390502B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Apr 22, 2013 |
| Grant date | Jul 12, 2016 |
| Priority date | — |
| Expiry date | Jul 2, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain embodiments provide a computer apparatus operable to carry out a data processing method to position a set of anatomical landmarks in a three-dimensional image data set of a part or all of a patient, comprising: providing a trained supervised machine learning algorithm which has been trained to place each of the set of anatomical landmarks; applying the supervised machine learning algorithm to place the set of anatomical landmarks relative to the data set; providing a trained point distribution model, including a mean shape and a covariance matrix, wherein the mean shape represents locations of the set of landmarks in a variety of patients; and applying the point distribution model to the set of landmarks with the locations output from the supervised machine learning algorithm by: removing any landmarks whose locations have an uncertainty above a threshold with reference to the mean shape and covariance matrix; followed by: an optimization of the locations of the remaining landmarks by maximizing joint likelihood that a new shape, derived from linear combinations of eigenvectors of the covariance matrix, is plausible.
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