18336741. METHOD AND APPARATUS FOR CARDIAC SIGNAL REMOVAL IN DATA-DRIVEN RESPIRATORY GATING IN POSITRON EMISSION TOMOGRAPHY SYSTEMS simplified abstract (THE REGENTS OF THE UNIVERSITY OF CALIFORNIA)
METHOD AND APPARATUS FOR CARDIAC SIGNAL REMOVAL IN DATA-DRIVEN RESPIRATORY GATING IN POSITRON EMISSION TOMOGRAPHY SYSTEMS
Organization Name
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
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
The method described in the abstract involves separating signals in list mode data obtained during an imaging scan affected by quasi-periodic motion of an imaging object.
- Obtain list mode data from an imaging scan affected by motion.
- Divide the data into non-overlapping frames to determine a cardiac cycle length.
- Determine a longer frame length based on the cardiac cycle length.
- Re-bin the data into overlapping frames based on the longer frame length.
- Apply a principal component analysis process to determine a respiratory waveform.
- Determine a cardiac waveform using the respiratory waveform.
- Reconstruct an image based on the list mode data using the determined waveforms.
Potential Applications: - Medical imaging for patients with respiratory and cardiac motion. - Improving image quality in PET or SPECT scans. - Research in cardiology and respiratory medicine.
Problems Solved: - Addressing motion artifacts in medical imaging. - Enhancing image quality in the presence of motion. - Improving accuracy in diagnosing cardiac and respiratory conditions.
Benefits: - More accurate imaging results. - Better visualization of anatomical structures. - Enhanced diagnostic capabilities for healthcare providers.
Commercial Applications: Title: Advanced Signal Separation Technology for Medical Imaging This technology can be used in hospitals, imaging centers, and research institutions for various medical imaging applications. It can improve the quality and accuracy of diagnostic imaging, leading to better patient outcomes and more efficient healthcare delivery.
Questions about Signal Separation Technology: 1. How does this technology compare to traditional methods of signal separation in medical imaging? This technology offers a more sophisticated approach by incorporating cardiac and respiratory waveforms to improve image reconstruction, unlike traditional methods that may not account for these factors.
2. What are the potential limitations of using this method in clinical practice? While this technology shows promise in improving image quality, there may be challenges in implementing it across different imaging modalities and patient populations. Further research and validation studies may be needed to address these limitations.
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.
