View source for Fujifilm corporation (20240104729). RADIATION IMAGE PROCESSING DEVICE, RADIATION IMAGE PROCESSING METHOD, AND RADIATION IMAGE PROCESSING PROGRAM simplified abstract

=RADIATION IMAGE PROCESSING DEVICE, RADIATION IMAGE PROCESSING METHOD, AND RADIATION IMAGE PROCESSING PROGRAM=


==Organization Name==

[[:Category:fujifilm corporation|fujifilm corporation]]


[[Category:fujifilm corporation]]

==Inventor(s)==

[[:Category:Tomoyuki Takahashi of Kanagawa (JP)|Tomoyuki Takahashi of Kanagawa (JP)]][[Category:Tomoyuki Takahashi of Kanagawa (JP)]]

==RADIATION IMAGE PROCESSING DEVICE, RADIATION IMAGE PROCESSING METHOD, AND RADIATION IMAGE PROCESSING PROGRAM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240104729 titled 'RADIATION IMAGE PROCESSING DEVICE, RADIATION IMAGE PROCESSING METHOD, AND RADIATION IMAGE PROCESSING PROGRAM

==Simplified Explanation==

The patent application describes a processor that analyzes radiation images of a subject to derive characteristics of different components within the subject.

* The processor acquires two radiation images of the subject, one with multiple compositions and one with a single composition, using radiation with different energy distributions.
* It then calculates the attenuation of the radiation in the region containing only the first component in each image.
* Based on this information, it derives the characteristics of the first component in the region containing the second component.
* Finally, the processor creates images that emphasize the first and second components based on their characteristics in the radiation images.

== Potential Applications ==
This technology could be used in medical imaging to better differentiate between different tissues or materials within the body, leading to more accurate diagnoses and treatment plans.

== Problems Solved ==
This technology helps to address the challenge of accurately distinguishing between different components or materials within a subject when analyzing radiation images.

== Benefits ==
The benefits of this technology include improved image analysis in various fields such as medicine, industrial inspection, and security screening, leading to more precise and reliable results.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in the development of advanced medical imaging systems that provide enhanced visualization and analysis capabilities for healthcare providers.

== Possible Prior Art ==
One possible prior art for this technology could be the use of dual-energy imaging techniques in medical imaging to differentiate between different types of tissues based on their attenuation properties.

=== Unanswered Questions ===

=== How does this technology compare to existing methods for analyzing radiation images in terms of accuracy and efficiency? ===
This article does not provide a direct comparison between this technology and existing methods for analyzing radiation images. Further research or testing would be needed to determine the relative accuracy and efficiency of this innovation compared to current practices.

=== What are the potential limitations or challenges of implementing this technology in real-world applications? ===
The article does not address any potential limitations or challenges that may arise when implementing this technology in practical settings. Factors such as cost, compatibility with existing systems, and regulatory considerations could impact the adoption and effectiveness of this innovation.


==Original Abstract Submitted==

a processor acquires a first radiation image and a second radiation image which are acquired by imaging a subject, which includes a first component consisting of a plurality of compositions and a second component consisting of a single composition, with radiation having different energy distributions, derives a characteristic of the first component related to attenuation of the radiation based on the first and second radiation images in a first component region including only the first component in the first or second radiation image, derives the characteristic of the first component in a second component region including the second component in the first or second radiation image based on the characteristic of the first component derived in the first component region around the second component region, and derives a first component image and a second component image in which the first component and the second component are emphasized, respectively, based on the characteristic of the first component in at least a region of the subject in the first or second radiation image.



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