Table 3 Representative patents for radiomics
From: Preliminary landscape analysis of deep tomographic imaging patents
No | Title | Comments | Owner | Priority date |
|---|---|---|---|---|
WO2018220089A1 | ML on raw medical imaging data for clinical decision support | A raw diagnostic machine for a medical diagnosis of raw medical imaging data generated by a medical imaging machine without conventional image reconstruction. | Philips | 05–31-17 |
US2021192810A1 | Tomographic image analysis using AI engines | A method is proposed by obtaining first 3D feature volume data and processing the first 3D feature volume data using an AI engine that includes multiple first processing layers, an interposing forward-projection module and multiple second processing layers. | Varian Medical System | 12–20-19 |
WO2018232388A1 | Systems and methods for integrating tomographic image reconstruction and radiomics using neural networks | A ML framework is used to either integrate tomographic images and radiomics or map tomographic raw data directly to diagnostic information. | RPI | 06–16-17 |
US2020311878A1 | Apparatus and method for image reconstruction using feature-aware DL | A method is proposed to use a neural network to perform on a feature-aware reconstruction. A neural network model is trained to perform feature-aware reconstruction using a target image is spatially-dependent degree denoised and artifact suppressed based on the features in the images. | Canon | 04–01-19 |
WO2020214911A1 | Method and system for generating attenuation map from single photon emission computed tomography (SPECT) emission data based upon DL | A system is proposed to use ML models to estimate attenuation coefficients from only SPECT emission data. | Yale University | 04–19-19 |
CN111598895A | Method for measuring lung function indexes based on diagnosis images and ML | A method is proposed for measuring lung function indexes based on diagnostic images and ML. | Suzhou Fuyuan Medical Tech | 04–14-20 |