18038546. LOCAL SPECTRAL-COVARIANCE OR LOCAL SPECTRAL COVARIANCE DEFICITS COMPUTATION AND DISPLAY FOR HIGHLIGHTING OF RELEVANT MATERIAL TRANSITIONS IN SPECTRAL CT AND MR simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
- 1 LOCAL SPECTRAL-COVARIANCE OR LOCAL SPECTRAL COVARIANCE DEFICITS COMPUTATION AND DISPLAY FOR HIGHLIGHTING OF RELEVANT MATERIAL TRANSITIONS IN SPECTRAL CT AND MR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LOCAL SPECTRAL-COVARIANCE OR LOCAL SPECTRAL COVARIANCE DEFICITS COMPUTATION AND DISPLAY FOR HIGHLIGHTING OF RELEVANT MATERIAL TRANSITIONS IN SPECTRAL CT AND MR - 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
LOCAL SPECTRAL-COVARIANCE OR LOCAL SPECTRAL COVARIANCE DEFICITS COMPUTATION AND DISPLAY FOR HIGHLIGHTING OF RELEVANT MATERIAL TRANSITIONS IN SPECTRAL CT AND MR
Organization Name
Inventor(s)
RAFAEL Wiemker of KISDORF (DE)
LIRAN Goshen of PARDES-HANNA (IL)
HANNES Nickisch of HAMBURG (DE)
JOCHEN Peters of NORDERSTEDT (DE)
ROLF JÜRGEN Weese of NORDERSTEDT (DE)
LOCAL SPECTRAL-COVARIANCE OR LOCAL SPECTRAL COVARIANCE DEFICITS COMPUTATION AND DISPLAY FOR HIGHLIGHTING OF RELEVANT MATERIAL TRANSITIONS IN SPECTRAL CT AND MR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18038546 titled 'LOCAL SPECTRAL-COVARIANCE OR LOCAL SPECTRAL COVARIANCE DEFICITS COMPUTATION AND DISPLAY FOR HIGHLIGHTING OF RELEVANT MATERIAL TRANSITIONS IN SPECTRAL CT AND MR
Simplified Explanation
The present invention relates to multispectral imaging. In order to improve the identification of relevant multispectral material transitions (in particular caused by injected contrast agent), an apparatus is proposed to use the local maxima of the variances and/or covariances of the intensities of the multi-channel images to locate material transitions. In comparison to gradient vectors, the local variance is not directed and not prone to noise. An alternative apparatus is proposed to use the local covariance deficits of the intensities of the multi-channel images to locate material transitions. The proposed alternative approach is independent of spatial drifts across the image volume.
- The invention proposes using local maxima of variances and/or covariances of intensities in multi-channel images to locate material transitions.
- This method is more robust to noise compared to using gradient vectors.
- An alternative approach using local covariance deficits is also suggested, which is independent of spatial drifts across the image volume.
Potential Applications
The technology could be applied in medical imaging for better identification of material transitions caused by injected contrast agents.
Problems Solved
1. Improved identification of relevant multispectral material transitions. 2. Robustness to noise in the imaging process.
Benefits
1. Enhanced accuracy in identifying material transitions. 2. Reduction in false positives due to noise. 3. Independent of spatial drifts across the image volume.
Potential Commercial Applications
The technology could be utilized in the healthcare industry for more accurate diagnostic imaging processes.
Possible Prior Art
There may be prior art related to using local maxima of variances and covariances in image processing for various applications.
Unanswered Questions
== How does this technology compare to existing methods in terms of accuracy and efficiency? This article does not provide a direct comparison with existing methods in terms of accuracy and efficiency.
== What are the potential limitations or challenges in implementing this technology in practical applications? The article does not address potential limitations or challenges in implementing this technology in practical applications.
Original Abstract Submitted
The present invention relates to multispectral imaging. In order to improve an identification of relevant multispectral material transitions (in particular caused by injected contrast agent), an apparatus is proposed to use the local maxima of the variances and/or covariances of the intensities of the multi-channel images to locate material transitions. In comparison to gradient vectors, the local variance is not directed and not prone to noise. An alternative apparatus is proposed to use the local covariance deficits of the intensities of the multi-channel images to locate material transitions. The proposed alternative approach is independent of spatial drifts across the image volume.
