18336741. METHOD AND APPARATUS FOR CARDIAC SIGNAL REMOVAL IN DATA-DRIVEN RESPIRATORY GATING IN POSITRON EMISSION TOMOGRAPHY SYSTEMS simplified abstract (CANON MEDICAL SYSTEMS CORPORATION)
METHOD AND APPARATUS FOR CARDIAC SIGNAL REMOVAL IN DATA-DRIVEN RESPIRATORY GATING IN POSITRON EMISSION TOMOGRAPHY SYSTEMS
Organization Name
CANON MEDICAL SYSTEMS CORPORATION
Inventor(s)
Wenyuan Qi of Vernon Hills IL (US)
Li Yang of Vernon Hills IL (US)
Jeffrey Kolthammer of Vernon Hills IL (US)
Evren Asma of Vernon Hills IL (US)
Tiantian Li of Oakland CA (US)
METHOD AND APPARATUS FOR CARDIAC SIGNAL REMOVAL IN DATA-DRIVEN RESPIRATORY GATING IN POSITRON EMISSION TOMOGRAPHY SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18336741 titled 'METHOD AND APPARATUS FOR CARDIAC SIGNAL REMOVAL IN DATA-DRIVEN RESPIRATORY GATING IN POSITRON EMISSION TOMOGRAPHY SYSTEMS
Simplified Explanation: The patent application describes a method for separating signals in imaging scans affected by motion, specifically quasi-periodic motion of an imaging object. The method involves analyzing the data to determine cardiac and respiratory waveforms, which are then used to reconstruct an image.
- Obtaining list mode data from an imaging scan affected by motion.
- Dividing the data into frames to determine cardiac cycle length.
- Re-binning the data into frames based on the determined cycle length.
- Applying principal component analysis to determine respiratory waveform.
- Using the respiratory waveform to determine cardiac waveform.
- Reconstructing an image based on the determined waveforms.
Potential Applications: This technology can be applied in medical imaging, particularly in scans where motion artifacts are present. It can improve image quality and accuracy by separating signals affected by motion.
Problems Solved: The method addresses the challenge of separating signals in imaging scans that are distorted by motion, specifically quasi-periodic motion of the imaging object. By analyzing the data and determining waveforms, the technology can mitigate the impact of motion artifacts on the final image.
Benefits: - Improved image quality in imaging scans affected by motion. - Enhanced accuracy in diagnosing conditions based on imaging results. - Reduction of motion artifacts for clearer and more precise images.
Commercial Applications: The technology can be utilized in medical imaging equipment and software to enhance the quality of diagnostic scans. It can be valuable in hospitals, imaging centers, and research facilities where accurate imaging is crucial for patient care and research advancements.
Questions about Signal Separation: 1. How does the method in the patent application improve the accuracy of imaging scans affected by motion? 2. What are the potential implications of using this technology in medical imaging research and diagnosis?
Frequently Updated Research: Ongoing research in signal processing and imaging technology may lead to advancements in the field of separating signals affected by motion in imaging scans. Stay updated on the latest developments to leverage the benefits of this innovative technology.
Original Abstract Submitted
A method for signal separation includes obtaining list mode data representing radiation detected during an imaging scan, the list mode data being affected by quasi-periodic motion of an imaging object; dividing the list mode data into first non-overlapping frames of a first frame length, and process the first frames to determine a cardiac cycle length; determining a second frame length, longer than the first frame length, based on the determined cardiac cycle length; re-binning the list mode data into overlapping frames having the second frame length, based on the non-overlapping frames having the first frame length; applying a principal component analysis (PCA) process on the re-binned list mode data having the second frame length to determine a respiratory waveform; determining a cardiac waveform using the determined respiratory waveform; and reconstructing an image based on the list mode data using the determined respiratory waveform and the determined cardiac waveform.
