Image processing device and image processing method
AssigneeHamamatsu Photonics K.K.
InventorsFumio HASHIMOTO, Kibo OTE
Life of this patent
Estimating the term…
Abstract
A radiation tomography system includes a radiation tomography apparatus and an image processing apparatus. The image processing apparatus includes a sinogram creation unit, a CNN processing unit, a convolution integration unit, a forward projection calculation unit, and a CNN training unit. The forward projection calculation unit performs forward projection calculation on a three-dimensional output image to create calculated sinograms divided into K blocks. The CNN training unit evaluates an error between a measured sinogram and the calculated sinogram for each of the K blocks, and trains a CNN based on an error evaluation result for each of the K blocks.
Claims17
An image processing apparatus for creating a three-dimensional tomographic image of a subject based on coincidence information collected by a radiation tomography apparatus including a plurality of detectors arranged around a measurement space in which the subject into which an RI source is injected is placed, the image processing apparatus comprising:
- a sinogram creation unit configured to create a sinogram divided into a plurality of blocks based on the coincidence information collected by the radiation tomography apparatus;
- a CNN processing unit configured to input a three-dimensional input image to a convolutional neural network, and create a three-dimensional output image by the convolutional neural network;
- a forward projection calculation unit configured to perform forward projection calculation on the three-dimensional output image to create a sinogram divided into the plurality of blocks;
- and
- a CNN training unit configured to evaluate an error between the sinogram created by the sinogram creation unit and the sinogram created by the forward projection calculation unit for each of the plurality of blocks, and train the convolutional neural network based on an error evaluation result for each of the plurality of blocks, wherein
- the three-dimensional output image after respective processes of the CNN processing unit, the forward projection calculation unit, and the CNN training unit are repeatedly performed a plurality of times is set as the three-dimensional tomographic image of the subject.
An image processing method for creating a three-dimensional tomographic image of a subject based on coincidence information collected by a radiation tomography apparatus including a plurality of detectors arranged around a measurement space in which the subject into which an RI source is injected is placed, the image processing method comprising:
- a sinogram creation step of creating a sinogram divided into a plurality of blocks based on the coincidence information collected by the radiation tomography apparatus;
- a CNN processing step of inputting a three-dimensional input image to a convolutional neural network, and creating a three-dimensional output image by the convolutional neural network;
- a forward projection calculation step of performing forward projection calculation on the three-dimensional output image to create a sinogram divided into the plurality of blocks;
- and
- a CNN training step of evaluating an error between the sinogram created in the sinogram creation step and the sinogram created in the forward projection calculation step for each of the plurality of blocks, and training the convolutional neural network based on an error evaluation result for each of the plurality of blocks, wherein
- the three-dimensional output image after respective processes of the CNN processing step, the forward projection calculation step, and the CNN training step are repeatedly performed a plurality of times is used as the three-dimensional tomographic image of the subject.
Dependencies are inferred from the claim text.