Koninklijke Philips Corporation N.V.

Rupesh Vakkachi Kandi

Vijayananda Jagannatha

Jaladhar Neelavalli

Suthambhara Nagaraj

Umesh Suryanarayana Rudrapatna

Vinay Pandit

Naveen Bajaj

Srinivas Prasad Madapusi Raghavan

Karthik Gopalakrishnan

Disclosed herein is a medical system () comprising a memory () storing machine executable instructions () and a Bfield estimation module (); and a computational system (). Execution of the machine executable instructions causes the computational system to receive () an initial magnetic resonance image () that comprises a magnitude component and is descriptive of a first region () of interest of a subject (). Execution of the machine executable instructions further causes the computational system to perform at least one iteration of the following: receive () subsequent k-space data () descriptive of subsequent region of interest () of the subject; calculate () an estimated Bfield mapping () for the subsequent region of interest from the initial magnetic resonance image by inputting the initial magnetic resonance image into the Bfield estimation module; and reconstruct () a corrected magnetic resonance image () from the subsequent k-space data and the estimated Bfield mapping.

Estimation of Binhomogeneities for improved acquisition and/or reconstruction of magnetic resonance images

Systems and methods are disclosed for generating device test cases for medical imaging devices, which are not only reflective of current actual field usage of the device but also provide outlook on future usage. A probabilistic model of usage patterns is generated from historic data present in the device field logs by mining the current usage patterns. A Deep Long Short Term Memory Neural Network model of the usage patterns is constructed to predict the future usage patterns. Additionally, to capture the changing trends of device usage patterns in the field, predictive models are continuously updated in real time, and the test cases generated log files by the models are integrated into an automated testing system.

System and a method for improving reliability of medical imaging devices

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Kozhikode, India

Rupesh Vakkachi Kandi