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Gadolinium-based bimodal probes to enhance T1-Weighted magnetic resonance/optical imaging by Chang-Tong Yang; Aishwarya Hattiholi; Subramanian Tamil Selvan; Sean Xuexian Yan; Wei-Wei Fang; Prashant Chandrasekharan; Podili Koteswaraiah; Christian J. Herold; Balázs Gulyás; Swee Eng Aw; Tao He; David Chee Eng Ng; Parasuraman Padmanabhan is a Engineering article available to read on EtoBox.
What is Gadolinium-based bimodal probes to enhance T1-Weighted magnetic resonance/optical imaging about?
Gd-based contrast agents have been extensively used for signal enhancement of T-weighted magnetic resonance imaging (MRI) due to the large magnetic moment and long electron spin relaxation time of the paramagnetic Gd ion. The key requisites for the development of Gd-based contrast agents are their relaxivities and stabilities which can be achieved by chemical modifications. These modifications include coordinating Gd with a chelator such as diethylenetriamine pentaacetic acid (DTPA) or 1,4,7,10-Tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA), encapsulating Gd in nanoparticles, conjugation to biomacromolecules such as polymer micelles and liposomes, or non-covalent binding to plasma proteins. In order to have a coherent diagnostic and therapeutic approach and to understand diseases better, the combination of MRI and optical imaging (OI) techniques into one technique entity has been developed to overcome the conventional boundaries of either imaging modality used alone through bringing the excellent spatial resolution of MRI and high sensitivity of OI into full play. Novel MRI and OI bimodal probes have been extensively studied in this regard. This review is an attempt to shed
Who reads Gadolinium-based bimodal probes to enhance T1-Weighted magnetic resonance/optical imaging?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Chang-Tong Yang; Aishwarya Hattiholi; Subramanian Tamil Selvan; Sean Xuexian Yan; Wei-Wei Fang; Prashant Chandrasekharan; Podili Koteswaraiah; Christian J. Herold; Balázs Gulyás; Swee Eng Aw; Tao He; David Chee Eng Ng; Parasuraman Padmanabhan
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 1742-7061)
- Published
- 2020
- Language
- EN
- Field
- Engineering (Physical Sciences)