Canon kabushiki kaisha (20240112336). X-RAY COMPUTED TOMOGRAPHY APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract

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X-RAY COMPUTED TOMOGRAPHY APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

Organization Name

canon kabushiki kaisha

Inventor(s)

YOSHINORI Hirano of Chiba (JP)

RYUTA Ueda of Tokyo (JP)

X-RAY COMPUTED TOMOGRAPHY APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240112336 titled 'X-RAY COMPUTED TOMOGRAPHY APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

Simplified Explanation

The abstract describes a patent application for an x-ray computed tomography (CT) apparatus that includes an x-ray tube, a detector, a reconstruction processing unit, inference units, and a display control unit.

  • X-ray tube radiates x-rays
  • Detector detects x-rays passed through a subject
  • Reconstruction processing unit reconstructs imaging data and generates CT image data and material decomposition image data
  • First inference unit performs inference on material decomposition image data
  • Second inference unit performs inference on CT image data
  • Display control unit displays inference results

Potential Applications

This technology can be used in medical imaging for more accurate diagnosis and treatment planning. It can also be applied in industrial settings for quality control and material analysis.

Problems Solved

This technology allows for better differentiation of materials within the body, leading to more precise identification of abnormalities or diseases. It also improves the overall image quality and diagnostic accuracy.

Benefits

The benefits of this technology include enhanced imaging capabilities, improved diagnostic accuracy, and potentially faster and more efficient medical procedures. It can also lead to better outcomes for patients by enabling more targeted treatments.

Potential Commercial Applications

Potential commercial applications include medical imaging equipment for hospitals and clinics, as well as industrial inspection systems for manufacturing and research facilities. This technology could also be integrated into security screening devices for airports and other high-security areas.

Possible Prior Art

One possible prior art for this technology is the use of dual-energy CT imaging, which also aims to differentiate materials based on their energy absorption properties. Another could be the use of artificial intelligence algorithms to analyze CT images and provide diagnostic insights.

Unanswered Questions

How does this technology compare to other existing methods of material decomposition in CT imaging?

This article does not provide a direct comparison with other methods, so it is unclear how this technology differs in terms of accuracy, speed, or cost.

What are the limitations of this technology in terms of imaging quality or diagnostic capabilities?

The article does not address any potential limitations or challenges that may arise when implementing this technology in real-world settings.


Original Abstract Submitted

an x-ray computed tomography (ct) apparatus includes an x-ray tube configured to radiate x-rays; a detector configured to detect x-rays radiated by the x-ray tube and passed through a subject; a reconstruction processing unit configured to reconstruct imaging data output by the detector and generate ct image data and material decomposition image data; a first inference unit configured to perform inference on the material decomposition image data; a second inference unit configured to perform inference on the ct image data; and a display control unit configured to cause a display unit to display at least one of an inference result of the first inference unit and an inference result of the second inference unit.