18373735. REMOVAL OF BACKGROUND NOISE FROM IMAGE simplified abstract (Novocure GmbH)
Contents
- 1 REMOVAL OF BACKGROUND NOISE FROM IMAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 REMOVAL OF BACKGROUND NOISE FROM IMAGE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
REMOVAL OF BACKGROUND NOISE FROM IMAGE
Organization Name
Inventor(s)
Reuven Ruby Shamir of Haifa (IL)
Yissachar Abraham of Haifa (IL)
REMOVAL OF BACKGROUND NOISE FROM IMAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18373735 titled 'REMOVAL OF BACKGROUND NOISE FROM IMAGE
Simplified Explanation
The computer-implemented method described in the abstract aims to remove background noise from a medical image by generating a mask, designating foreground and background voxels, and filtering the image based on voxel intensity.
- Generating a mask based on the medical image
- Designating a perimeter portion of the mask
- Setting a threshold for the perimeter portion to separate voxels based on intensity
- Filtering the medical image with the mask and threshold
- Displaying the filtered image on a display
Potential Applications
This technology could be applied in medical imaging to improve the clarity and accuracy of diagnostic images by reducing background noise.
Problems Solved
This technology solves the problem of background noise in medical images, which can hinder accurate diagnosis and interpretation of the images.
Benefits
The benefits of this technology include improved image quality, enhanced diagnostic accuracy, and better visualization of medical conditions.
Potential Commercial Applications
A potential commercial application of this technology could be in medical imaging software used by healthcare professionals for diagnostic purposes.
Possible Prior Art
One possible prior art for this technology could be existing image processing algorithms used in medical imaging to enhance image quality and reduce noise.
Unanswered Questions
How does this method compare to existing noise reduction techniques in medical imaging?
This article does not provide a direct comparison to existing noise reduction techniques in medical imaging. Further research or a comparative study would be needed to determine the effectiveness and efficiency of this method compared to others.
What impact could this technology have on the field of medical imaging in terms of accuracy and efficiency?
While the benefits of this technology are mentioned, the specific impact on the field of medical imaging in terms of accuracy and efficiency is not fully explored. Additional studies or real-world applications would be necessary to assess the full potential of this innovation.
Original Abstract Submitted
A computer-implemented method to background noise from a medical image comprising voxels, each voxel having a voxel intensity, the method comprising: generating a mask based on the medical image, wherein the mask comprises a foreground portion designating foreground voxels, a background portion designating background voxels, and a perimeter separating the foreground portion from the background portion; designating a perimeter portion of the mask, the perimeter portion enclosing the perimeter, a subset of the foreground portion, and a subset of the background portion; designating a threshold for the perimeter portion to separate voxels based on voxel intensity; filtering the medical image with the mask and the threshold to obtain a filtered image; and displaying the filtered image on a display.
