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International Journal of Research and Innovation in Applied Science (IJRIAS)

Comparison of 64-Slice Vs 128-Slice CT in Stroke Imaging: A Comprehensive Review

byLalruatfela; R Lalnunsangi

Published December 19, 2025  •  Vol. 10, Issue 11, pp. 963–970Open Access
DOI: 10.51584/IJRIAS.2025.101100091

Abstract

Rapid and accurate neuroimaging is essential for acute stroke management, guiding decisions for thrombolysis and mechanical thrombectomy. Multidetector computed tomography (MDCT) systems—particularly 64-slice and 128-slice scanners—are widely used for non-contrast CT (NCCT), CT angiography (CTA), and CT perfusion (CTP). This review compares the performance of 64-slice and 128-slice CT scanners in stroke imaging, focusing on spatial/temporal resolution, acquisition speed, radiation dose, diagnostic accuracy, workflow efficiency, and suitability for resource-limited settings. Evidence suggests that 128-slice CT provides superior temporal resolution, reduced motion artifacts, enhanced CTA and CTP quality, and faster workflow. However, 64-slice scanners remain highly effective for NCCT and routine CTA, offering cost-efficiency and adequate diagnostic accuracy for most emergency stroke pathways.

Keywords: NCCT and routine CTA, offering cost-efficiency and adequate diagnostic accuracy

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 10, Issue 11
Pages963–970
Publication dateDecember 19, 2025
DOI10.51584/IJRIAS.2025.101100091
PublisherRSIS International
LicenseOpen Access

How to cite this article

Lalruatfela, & R Lalnunsangi (2025). Comparison of 64-Slice Vs 128-Slice CT in Stroke Imaging: A Comprehensive Review. International Journal of Research and Innovation in Applied Science (IJRIAS), 10(11), 963-970. https://doi.org/10.51584/IJRIAS.2025.101100091

BibTeX

@article{Lalruatfela2025,
  title   = {Comparison of 64-Slice Vs 128-Slice CT in Stroke Imaging: A Comprehensive Review},
  author  = {Lalruatfela and R Lalnunsangi},
  journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
  volume  = {10},
  number  = {11},
  pages   = {963--970},
  year    = {2025},
  doi     = {10.51584/IJRIAS.2025.101100091},
  publisher = {RSIS International}
}