View source for Tata Consultancy Services Limited (20250006346). METHOD AND SYSTEM FOR MAGNETIC RESONANCE (MR) IMAGE ANALYSIS

=METHOD AND SYSTEM FOR MAGNETIC RESONANCE (MR) IMAGE ANALYSIS=


==Organization Name==

[[:Category:Tata Consultancy Services Limited|Tata Consultancy Services Limited]]


[[Category:Tata Consultancy Services Limited]]

==Inventor(s)==

[[:Category:Aparna Kanakatte Gurumurthy of Bangalore (IN)|Aparna Kanakatte Gurumurthy of Bangalore (IN)]][[Category:Aparna Kanakatte Gurumurthy of Bangalore (IN)]]

[[:Category:Pavan Kumar Reddy Kancham of Bangalore (IN)|Pavan Kumar Reddy Kancham of Bangalore (IN)]][[Category:Pavan Kumar Reddy Kancham of Bangalore (IN)]]

[[:Category:Jayavardhana Rama Gubbi Lakshminarasimha of Bangalore (IN)|Jayavardhana Rama Gubbi Lakshminarasimha of Bangalore (IN)]][[Category:Jayavardhana Rama Gubbi Lakshminarasimha of Bangalore (IN)]]

[[:Category:Avik Ghose of Kolkata (IN)|Avik Ghose of Kolkata (IN)]][[Category:Avik Ghose of Kolkata (IN)]]

[[:Category:Divya Manoharlal Bhatia of Bangalore (IN)|Divya Manoharlal Bhatia of Bangalore (IN)]][[Category:Divya Manoharlal Bhatia of Bangalore (IN)]]

==METHOD AND SYSTEM FOR MAGNETIC RESONANCE (MR) IMAGE ANALYSIS==


This abstract first appeared for US patent application 20250006346 titled 'METHOD AND SYSTEM FOR MAGNETIC RESONANCE (MR) IMAGE ANALYSIS




==Original Abstract Submitted==

existing magnetic resonance (mr) analysis approaches are either manual, which is time consuming and error prone, or automatic yet fail to identify correct landmarks. the disclosure herein generally relates method and system for mr image analysis. the system trains and uses a generative adversarial network (gan) for the mr image analysis. a generator network of the gan generates a heatmap of a plurality of landmarks, by processing input data. further, a discriminator network of the gan, which has gradients updated based on a modified discriminator loss (mdl) calculated based on a foreground pixel loss function and a standard discriminator loss, predicts each of a plurality of patches in a second input data as one of real and fake, based on presence of the one or more foreground pixel regions in the landmark heatmap in the ground-truth heatmap identified based on the foreground pixel loss function.



[[Category:G16H30/40]]
[[Category:G06T7/194]]
[[Category:G06V10/24]]
[[Category:G06V10/44]]
[[Category:G16H30/20]]
[[Category:CPC_G16H30/40]]