US 12,260,507 B2
Data augmentation
Ola Weistrand, Huddinge (SE)
Assigned to RaySearch Laboratories AB, Stockholm (SE)
Appl. No. 17/415,776
Filed by RaySearch Laboratories AB, Stockholm (SE)
PCT Filed Dec. 16, 2019, PCT No. PCT/EP2019/085274
§ 371(c)(1), (2) Date Jun. 18, 2021,
PCT Pub. No. WO2020/126993, PCT Pub. Date Jun. 25, 2020.
Claims priority of application No. 18214457 (EP), filed on Dec. 20, 2018.
Prior Publication US 2022/0076069 A1, Mar. 10, 2022
Int. Cl. G06T 19/20 (2011.01); G06F 18/214 (2023.01); G06V 10/75 (2022.01)
CPC G06T 19/20 (2013.01) [G06F 18/2148 (2023.01); G06V 10/7553 (2022.01); G06T 2219/2021 (2013.01); G06V 2201/03 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A method for generating data representing the volume of part of a body, the method comprising:
generating a point distribution model “PDM” based on an input dataset comprising data representing at least one surface of part of a body, the PDM defining a surface model dataset for the part of the body based on an average dataset and one or more weight-eigenvector pairs;
generating a first surface model dataset based on the PDM by modifying at least one weight of the one or more weight-eigenvector pairs such that the first surface model dataset corresponds to a first reference dataset, wherein the first surface model dataset is different from the average dataset;
modifying at least one weight of the one or more weight-eigenvector pairs to provide a second surface model dataset different from the first surface model dataset;
determining a mapping between the first surface model dataset and the second surface model dataset; and
generating an output volume dataset for the part of the body by applying the mapping to a second reference dataset, the second reference dataset comprising volume data representing the volume of a corresponding part of a body, the output volume dataset comprising data representing a deformed volume of the corresponding part of the body, wherein the first reference dataset is the same as the second reference dataset or is different from the second reference dataset.