Patent · US Active

Internal body marker prediction from surface data in medical imaging

US10521927B2 · kind B2 · utility

2Cited by

2References

12Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Brian Teixeira · Lawrenceville, US
Vivek Singh · Monmouth Junction, US
Birgi Tamersoy · Erlangen, DE
Terrence Chen · Princeton, US
Kai Ma · Plainsboro, US
Andreas Krauss · Lörrach, DE
Andreas Wimmer · Graz, AT

Key dates

Filing date	Aug 7, 2018
Grant date	Dec 31, 2019
Priority date	—
Expiry date	Aug 7, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30204
WIPO fieldMedical technology
WIPO sectorInstruments

Abstract

Machine learning is used to train a network to predict the location of an internal body marker from surface data. A depth image or other image of the surface of the patient is used to determine the locations of anatomical landmarks. The training may use a loss function that includes a term to limit failure to predict a landmark and/or off-centering of the landmark. The landmarks may then be used to configure medical scanning and/or for diagnosis.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.