US 12,347,101 B2
Method and apparatus for producing contrained medical image data
Murray Cutforth, Edinburgh (GB); and Marco Razeto, Edinburgh (GB)
Assigned to CANON MEDICAL SYSTEMS CORPORATION, Otawara (JP)
Filed by CANON MEDICAL SYSTEMS CORPORATION, Otawara (JP)
Filed on Apr. 6, 2022, as Appl. No. 17/658,096.
Prior Publication US 2023/0326011 A1, Oct. 12, 2023
Int. Cl. G06T 7/00 (2017.01); A61B 6/00 (2024.01); A61B 6/40 (2024.01); G06T 7/10 (2017.01)
CPC G06T 7/0012 (2013.01) [A61B 6/4085 (2013.01); A61B 6/4441 (2013.01); G06T 7/10 (2017.01); G06T 2207/10064 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An apparatus for producing constrained medical image data, the apparatus comprising:
processing circuitry configured to:
receive medical image data that comprises or is obtained from scan data representing an anatomical region in which a sub-region is enhanced;
predict, using a trained model, mask data from the medical image data, wherein the mask data is representative of the anatomical region without enhancement of the sub-region; and
predict, using the trained model or a further trained model, subtraction data from the same medical image data, wherein the subtraction data is representative of the same anatomical region, wherein
each of the medical image data, the mask data, and the subtraction data comprises a respective intensity for each of a plurality of locations corresponding to a plurality of locations within the anatomical region, and
the processing circuitry is further configured to apply at least two constraints to obtain constrained subtraction data, the at least two constraints comprising
a first constraint ensuring that, for each of the plurality of locations, a sum of an intensity in the subtraction data and an intensity in the mask data corresponds to an intensity in the medical image data, and
a second constraint ensuring that each of the intensities for each of the plurality of locations is non-negative.