18587960. CONTRAST STATE DETERMINATION DEVICE, CONTRAST STATE DETERMINATION METHOD, AND PROGRAM simplified abstract (FUJIFILM Corporation)
Contents
- 1 CONTRAST STATE DETERMINATION DEVICE, CONTRAST STATE DETERMINATION METHOD, AND PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONTRAST STATE DETERMINATION DEVICE, CONTRAST STATE DETERMINATION METHOD, AND PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Contrast State Determination
- 1.13 Original Abstract Submitted
CONTRAST STATE DETERMINATION DEVICE, CONTRAST STATE DETERMINATION METHOD, AND PROGRAM
Organization Name
Inventor(s)
CONTRAST STATE DETERMINATION DEVICE, CONTRAST STATE DETERMINATION METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18587960 titled 'CONTRAST STATE DETERMINATION DEVICE, CONTRAST STATE DETERMINATION METHOD, AND PROGRAM
Simplified Explanation
The patent application describes a device, method, and program for determining the contrast state of an image, even when certain organs are not visible. It involves acquiring multiple two-dimensional images of a subject from different positions, estimating an index value related to the contrast state from each image, and determining the contrast state based on these index values.
- Uses multiple images to determine contrast state accurately
- Can handle cases where certain organs are not visible in the image
- Provides a robust and quick method for contrast state determination
Key Features and Innovation
- Acquiring multiple two-dimensional images for contrast state determination
- Estimating index values related to contrast state from each image
- Determining contrast state based on the index values
Potential Applications
This technology can be used in medical imaging for accurately determining the contrast state of organs even when they are not fully visible in the image.
Problems Solved
- Accurate contrast state determination in cases where organs are not fully visible
- Quick and robust method for contrast state assessment
Benefits
- Improved accuracy in contrast state determination
- Faster and more reliable assessment of contrast state
- Enhanced diagnostic capabilities in medical imaging
Commercial Applications
Potential commercial applications include medical imaging devices, software for image analysis, and healthcare systems for diagnostic purposes.
Prior Art
Readers can explore prior art related to contrast state determination in medical imaging, image analysis algorithms, and software for medical diagnostics.
Frequently Updated Research
Stay updated on advancements in medical imaging technology, contrast enhancement techniques, and image analysis algorithms for improved diagnostic accuracy.
Questions about Contrast State Determination
How does this technology improve contrast state determination in medical imaging?
This technology improves contrast state determination by using multiple images and estimating index values related to contrast state.
What are the potential applications of this innovation beyond medical imaging?
The potential applications of this innovation include image analysis in various fields such as security, industrial inspection, and environmental monitoring.
Original Abstract Submitted
Provided are a contrast state determination device, a contrast state determination method, and a program that quickly, accurately, and robustly determine a contrast state even in a case where there is an organ that is not included in an image. A plurality of two-dimensional images including information of slice images of a subject at different positions are acquired from a first image series captured before or after a contrast agent is injected into the subject, an index value related to a contrast state is estimated from each of the plurality of two-dimensional images, and the contrast state of the first image series is determined on the basis of each of a plurality of the index values.
