Related Experiment Video
Updated: May 11, 2026

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
Published on: August 14, 2019
Improved image quality and detection of small cerebral infarctions with diffusion-tensor trace imaging
Keith A Cauley1, Senthur Thangasamy, Sathish K Dundamadappa
1Department of Radiology, University of Massachusetts Medical School, Memorial Medical Center, 55 Lake Ave N, Worcester, MA 01665, USA. keithcauley@hotmail.com
Objective:
The purpose of this study was to test a hypothesis that routinely performed diffusion-tensor trace imaging is of sufficient image quality and sensitivity for infarct detection to safely and routinely replace standard diffusion-weighted imaging (DWI) in the clinical setting.
Materials And Methods:
Both routine DWI and 15-direction diffusion-tensor imaging (DTI) with parallel acquisition technique were obtained on all brain MRI studies from a single 1.5-T MRI scanner at a tertiary care referral center over a 1-year period, permitting direct comparison of the two different diffusion studies on the same patients (2537 studies, 365 infarct-positive studies). A subset of images was assessed for image quality and quantitatively for ability to detect brain infarctions. The total set of positive studies was reviewed qualitatively for ability to detect small cerebral infarctions.
Results:
Fifteen-direction isotropic DWI (DTI trace images) with parallel acquisition technique resulted in consistently higher image quality with less distortion and higher image detail than routine DWI. Small infarcts were better seen, and in 12 cases, infarcts could only be seen on 15-direction isotropic diffusion-weighted images. The additional scanning time required for 15-direction isotropic DWI did not result in significantly increased motion-related reduction in image quality compared with standard DWI.
Conclusion:
Diffusion-tensor trace images obtained with parallel acquisition technique are of improved image quality and improved sensitivity for detection of small cerebral infarctions relative to standard DWI. If such DTI data are acquired, routine DWI can be omitted.
Insights
Diffusion-tensor trace imaging offers superior image quality and sensitivity for detecting small brain infarctions compared to standard diffusion-weighted imaging (DWI). This advanced technique can safely replace routine DWI in clinical practice, improving diagnostic accuracy.
Area of Science:
- Radiology
- Neuroimaging
- Medical Imaging
Background:
- Standard diffusion-weighted imaging (DWI) is a common technique for detecting brain infarctions.
- Assessing the diagnostic performance and image quality of advanced diffusion imaging techniques is crucial for clinical adoption.
Purpose of the Study:
- To evaluate if diffusion-tensor trace imaging (DTI) can replace standard DWI for infarct detection due to its image quality and sensitivity.
- To compare the diagnostic capabilities of routine DWI and 15-direction DTI in a clinical setting.
Main Methods:
- A comparative study involving 2537 brain MRI scans (365 infarct-positive) using both routine DWI and 15-direction DTI with parallel acquisition on a 1.5-T scanner.
- Image quality and infarct detection sensitivity were assessed quantitatively and qualitatively, with a focus on small cerebral infarctions.
Main Results:
- 15-direction DTI demonstrated superior image quality, reduced distortion, and enhanced detail compared to routine DWI.
- Small infarcts were more clearly visualized on DTI, and 12 cases of infarcts were only detectable with DTI.
- The increased scanning time for DTI did not lead to significant motion-related image quality degradation.
Conclusions:
- Diffusion-tensor trace imaging with parallel acquisition offers improved image quality and sensitivity for detecting small cerebral infarctions over standard DWI.
- Routine DWI can be omitted when DTI data is acquired, streamlining the neuroimaging workflow.
Related Concept Videos
Magnetic Resonance Imaging
Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

