Koninklijke Philips Corporation N.v.

Hao Dang

Chuanyong Bai

Shiyu Xu

Hui Wang

Hao Lai

Douglas B McKnight

Sheng Lu

Yang-Ming Zhu

Douglas Mcknight

Yang-ming Zhu

A computer tomography scanner () includes a radiation source () configured to emit x-ray radiation, a detector array () configured to detect x-ray radiation and generate a signal indicative thereof, and a reconstructor () configured to reconstruct the signal and generate sequential spares time line perfusion volumetric image data. The computer tomography scanner further includes a processor () configured to process the sequential spares time line perfusion volumetric image data using a trained neural network of a perfusion data enhancing module () to produce sequential dense time line perfusion volumetric image data.

Low radiation dose computed tomography perfusion (CTP) with improved quantitative analysis

A non-spectral computed tomography scanner includes a radiation source configured to emit x-ray radiation, a detector array configured to detect x-ray radiation and generate non-spectral data, and a memory configured to store a spectral image module that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Non-spectral computed tomography (CT) scanner configured to generate spectral volumetric image data

A spectral computed tomography imaging system () includes a radiation source () configured to emit x-ray radiation and a detector array () configured to detect x-ray radiation and generate spectral data. The spectral imaging system further includes a memory () configured to store a virtual non-contrast image enhancing module () that includes computer executable instructions including a neural network trained to produce image quality enhanced virtual non-contrast images. The neural network is trained with training spectral data and training non-contrast-enhanced images generated from a non-contrast-enhanced scan. The spectral imaging system further includes a processor () configured to process the spectral data with the trained neural network to produce the image quality enhanced virtual non-contrast images.

Image quality improved virtual non-contrast images generated by a spectral computed tomography (CT) scanner

A non-spectral computed tomography scanner () includes a radiation source () configured to emit x-ray radiation, a detector array () configured to detect x-ray radiation and generate non-spectral data, and a memory () configured to store a spectral image module () that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor () configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

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Mayfield Heights, OH, United States of America

Hao Dang