Paper Title

Optimization of MRI Sequences for Better Evaluation of Brainstem: A Standard Narrative Review Paper

Authors

Abhinav Sankhyan , Anchal Kaundal

Keywords

DTI, DWI, SWI, 3D FLAIR, Tractography.

Abstract

The brainstem is the anatomical and functional link that connects the cerebrum and the cerebellum with the spinal cord. It is the smallest brain region that contains numerous gray matter, white matter, and ascending and descending fiber tracts, making it one of the most important brain structures. It plays a crucial role in controlling respiration, cardiac functions, motor functions, sensory functions and autonomic functions. Due to its dense, complex, and small structure, it becomes one of the most challenging brain regions for imaging with conventional MRI sequences. Advanced MRI sequences (such as DTI and tractography) and optimized MRI sequences help to clearly visualize and evaluation the brainstem anatomy. The aim of the study is to enhance the diagnostic value of the brain stem imaging by optimization of MRI sequences.

How To Cite

"Optimization of MRI Sequences for Better Evaluation of Brainstem: A Standard Narrative Review Paper", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a611-a619, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606079.pdf

Issue

Volume 4 Issue 6, June-2026

Pages : a611-a619

Other Publication Details

Paper Reg. ID: JETNR_235040

Published Paper Id: JETNR2606079

Downloads: 000140

Research Area: Humanities All

Country: SOLAN, Himachal Pradesh, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606079

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606079

DOI: https://doi.org/10.56975/jetnr.v4i6.235040

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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