Quantum Resonance-Imaging^*

Ray LaPierre

Z. H. Cho, Jihye Han, Dae‐Hwan Suk +5 more

We propose a novel MRI (Magnetic Resonance Imaging) technique based quantum bit (qubit) generation with water proton NMR (1H-NMR), distinct from previously proposed NMR chemical shift or spectroscopic techniques based qubit generation. We briefly review prior NMR-based techniques in the context of quantum computing, focusing on MRI-related methods. The proposed technique utilizes MRI-based gradient methods combined with set of local reverse gradients to generate multiple qubits. This configuration enables the creation of multiple localized constant magnetic fields, each producing a qubit with highly homogeneous field, therefore, a unique single frequency. The RF electronics and signal processing techniques are analogous to those used in conventional MRI scanners, allowing operation at room temperature, with the exception of the main magnet, which remains identical to that of standard MRI systems. Additional advantages of this method include the ability to leverage the extensive pulse techniques and hardware developed for MRI scanners over the past 50 years. Furthermore, the wide array of MRI pulse sequences enables highly sophisticated signal processing for quantum computing applications, such as the spin purification.

Taha Hasan Mahmood Esmaeel, Zaman Khamis Homadi Obid, Maryam Ghazi Faisal Ali +1 more

The development of quantum-enhanced MRI technologies presents a novel frontier for early disease detection and continuous monitoring of human health. The magnetic resonance imaging (MRI) modality has become an essential pillar of modern healthcare systems and is the most widely used imaging technology for human health screening. It provides non-invasive and high-resolution visualisation of both anatomy and dynamics associated with diseases. Nevertheless, there are several diseases for which a MRI alone is not sufficient or highly challenging for early detection. Hence, advanced solutions are required. Quantum-enhanced MRI offers a promising path to overcome the limitations of conventional MRI by providing unprecedented enhancements to sensitivity, contrast, and spatiotemporal resolution compared with the state-of-the-art MRI. These enhancements have the potential to enable the imaging of emerging biomarkers related to several diseases such as Alzheimer’s, Parkinson’s, cardiovascular diseases, metabolic disorders and cancer at the early stage. Also, quantum-enhanced MRI provides non-intrusive monitoring frameworks that allow continuous observation of physiological parameters such as temperature, heart rate, and molecular dynamics while preserving the privacy of individuals. Such frameworks make it possible for a portable/bedside MRI system operating at ambient temperature to remotely monitor human health and wellness anywhere. Quantum-enhanced MRI is, however, still in its infancy and comes with several challenges. It is necessary to conduct a systematic literature review of quantum-enhanced MRI technologies covering its theoretical foundations, technological advances, potential clinical applications, implications for human health monitoring, existing challenges and future directions.

David S. Simon

Mikhail I. Kolobov

Shuo Zhou, Yihang Zhou, Congcong Liu +4 more

Motivation: Applying quantum computing to the reconstruction of magnetic resonance imaging. Goal(s): Improving the quality of magnetic resonance reconstruction images by introducing quantum computing. Approach: Building a quantum hybrid classical neural network for undersampling magnetic resonance reconstruction. Results: The hybrid classical neural network achieved better accuracy by introducing quantum convolutional layers and verified the feasibility of applying quantum computing to magnetic resonance reconstruction. Impact: This fully demonstrates the potential and broad development prospects of quantum computing in accelerating magnetic resonance imaging.