US 12,005,271 B2
Super resolution magnetic resonance (MR) images in MR guided radiotherapy
Taeho Kim, St. Louis, MO (US); Geoffrey Hugo, St. Louis, MO (US); Zhen Ji, St. Louis, MO (US); Matthew Schmidt, St. Louis, MO (US); and Yu Wu, St. Louis, MO (US)
Assigned to Washington University, St. Louis, MO (US)
Filed by Washington University, St. Louis, MO (US)
Filed on May 3, 2022, as Appl. No. 17/661,768.
Claims priority of provisional application 63/183,282, filed on May 3, 2021.
Prior Publication US 2022/0362584 A1, Nov. 17, 2022
Int. Cl. A61N 5/00 (2006.01); A61B 5/055 (2006.01); A61N 5/10 (2006.01)
CPC A61N 5/1069 (2013.01) [A61B 5/055 (2013.01); A61N 2005/1055 (2013.01); A61N 2005/1056 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A treatment targeting system comprising:
a computing device including a processor and a memory, the memory storing instructions that when executed by the processor cause the processor to:
receive magnetic resonance (MR) images of a subject including a target region;
generate at least one contour of at least one surrogate element apart from the target region in the MR images; and
determine a location of the target region in each of the MR images based on a location of the at least one contour in the MR images.
 
14. A computer implemented method of treatment targeting comprising:
receiving magnetic resonance (MR) images of a subject including a target region;
generating at least one contour of at least one surrogate element apart from the target region in the MR images; and
determining a location of the target region in each of the MR images based on a location of the at least one contour in the MR images.