Quantifying the young rat brain: a cross-sectional region-based analysis of T1, T2, R2*, and quantitative susceptibility maps.

Motivation: Exploring the quantitative properties of the brain in young Wistar rats using MRI. This can be useful in future comparative work about aging. Goal(s): The aim is to find ROI-based average qMRI values, and to demonstrate a multi-parametric analysis pipeline for pre-clinical research. Approach: 15 young Wistar rats were scanned using different sequences, and qMRI analysis was performed followed by ROI-based averaging. Results: Processing was completed, and ROI-based averages for each parameter (QSM, T1, T2, R2*) are provided. These values can be used for future comparative studies, and the code will be further developed and shared as open-source. Impact: Quantitatively characterizing the brain of Wistar rats is valuable for research about healthy and abnormal conditions. So, to understand aging, qMRI is very useful. Exploring the quantitative properties of brains of young rats provides reference for comparative work.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3176
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying the young rat brain: a cross-sectional region-based analysis of T1, T2, R2*, and quantitative susceptibility maps.

Pınar S. Özbay, Uluç Pamuk, Esin Öztürk-Işık, Belal TAVASHI et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cell Image Analysis Techniques
article

Quantifying the young rat brain: a cross-sectional region-based analysis of T1, T2, R2*, and quantitative susceptibility maps.

Pınar S. Özbay, Uluç Pamuk, Esin Öztürk-Işık, Belal TAVASHI, Leen Hakki, Oğuzhan Hüraydın
article en

Abstract

Motivation: Exploring the quantitative properties of the brain in young Wistar rats using MRI. This can be useful in future comparative work about aging. Goal(s): The aim is to find ROI-based average qMRI values, and to demonstrate a multi-parametric analysis pipeline for pre-clinical research. Approach: 15 young Wistar rats were scanned using different sequences, and qMRI analysis was performed followed by ROI-based averaging. Results: Processing was completed, and ROI-based averages for each parameter (QSM, T1, T2, R2*) are provided. These values can be used for future comparative studies, and the code will be further developed and shared as open-source. Impact: Quantitatively characterizing the brain of Wistar rats is valuable for research about healthy and abnormal conditions. So, to understand aging, qMRI is very useful. Exploring the quantitative properties of brains of young rats provides reference for comparative work.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 82%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.