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@article{204105,
        author = {Nidhi Goswami and Musaib Rather},
        title = {CLINICAL APPLICATIONS OF DUAL ENERGY COMPUTED TOMOGRAPHY: FOCUS ON NEUROIMAGING, URIC ACID STONES AND LIVER DISEASES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {1010-1015},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204105},
        abstract = {The Dual Energy Computed Tomography (DECT) technology is widely used for many fields of medical study. Recent advancements in computed tomography have made it possible to acquire and analyze X-rays simultaneously with two distinct amounts of energy (high and low), creating new opportunities for neurological research and development. Tumors exhibit a greater contrast-to-noise ratio (CNR) than liver tissue, therefore using both high and low tube potentials to create blended images during DECT, which in turn can aid in the diagnosis of cancer. By raising the CNR and signal-to-noise ratio and lowering hardening of the beam, the use of contrast agents enhances image quality. The identification and characterization of hepatic anomalies, such as mass lesions, can be enhanced by DECT. The many uses of DECT in imaging of the liver are outlined and shown in this research. Uric acid stones can also be diagnosed using this technique. In addition, increased detection of aneurysms, vascular malformations, and iodine enhancement within a single scan in DECT in neuroimaging is made possible by bone elimination, material description, and monoenergetic reconstructions. Monoenergetic reconstructions allow for enhanced iodine attenuation and/or improved quality of brain and spine imaging. This review summarizes the numerous operations of DECT in liver imaging, application of DECT in neuroimaging and the determination of ailments such uric acid stones and liver problems. There is also a brief analysis on DECT's future possibilities.},
        keywords = {DECT, X Ray, Neuroimaging, Disease detection, SNR, CNR},
        month = {June},
        }