Related Experiment Video
Updated: Feb 9, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Clinical applications of diffusion weighted imaging in neuroradiology
Marta Drake-Pérez1,2, Jose Boto1, Aikaterini Fitsiori1
1Division of Diagnostic and Interventional Neuroradiology of Geneva University Hospitals, DISIM and Faculty of Medicine of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland.
Abstract:
Diffusion-weighted imaging (DWI) has revolutionised stroke imaging since its introduction in the mid-1980s, and it has also become a pillar of current neuroimaging. Diffusion abnormalities represent alterations in the random movement of water molecules in tissues, revealing their microarchitecture, and occur in many neurological conditions. DWI provides useful information, increasing the sensitivity of MRI as a diagnostic tool, narrowing the differential diagnosis, providing prognostic information, aiding in treatment planning and evaluating response to treatment. Recently, there have been several technical improvements in DWI, leading to reduced acquisition time and artefacts and enabling the development of diffusion tensor imaging (DTI) as a tool for assessing white matter. We aim to review the main clinical uses of DWI, focusing on the physiological mechanisms that lead to diffusion abnormalities. Common pitfalls will also be addressed.
Teaching Points:
• DWI includes EPI, TSE, RESOLVE or EPI combined with reduced volume excitation. • DWI is the most sensitive sequence in stroke diagnosis and provides information about prognosis. • DWI helps in the detection of intramural haematomas (arterial dissection). • In diffusion imaging, ADC is inversely proportional to tumour cellularity. • DWI and DTI derived parameters can be used as biomarkers in different pathologies.
Insights
Diffusion-weighted imaging (DWI) is a sensitive MRI technique for diagnosing stroke and other neurological conditions. It reveals tissue microarchitecture by tracking water movement, aiding in diagnosis, prognosis, and treatment planning.
Area of Science:
- Neuroimaging
- Medical Physics
Background:
- Diffusion-weighted imaging (DWI) has become a cornerstone of neuroimaging since the 1980s.
- It detects alterations in water molecule diffusion, reflecting tissue microarchitecture and indicating neurological conditions.
Purpose of the Study:
- To review the primary clinical applications of DWI.
- To explore the physiological mechanisms underlying diffusion abnormalities.
- To address common challenges and pitfalls in DWI interpretation.
Main Methods:
- Review of clinical uses and technical advancements in DWI.
- Focus on physiological basis of diffusion abnormalities.
- Discussion of common interpretation pitfalls.
Main Results:
- DWI significantly enhances MRI sensitivity for neurological diagnoses.
- It aids in differential diagnosis, prognosis, and treatment response evaluation.
- Technical improvements have reduced scan times and artifacts, enabling diffusion tensor imaging (DTI).
Conclusions:
- DWI is the most sensitive MRI sequence for stroke diagnosis, offering prognostic insights.
- It aids in detecting intramural hematomas in arterial dissection.
- Apparent diffusion coefficient (ADC) in diffusion imaging is inversely related to tumor cellularity.
- DWI and DTI parameters serve as valuable biomarkers across various pathologies.
Related Concept Videos
Diffusion
Diffusion
Clinical Applications of Epidermal Stem Cells
Local Anesthetics: Clinical Application as Spinal Anesthesia
Local Anesthetics: Clinical Application as Epidural Anesthesia
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

