Clinical trial · Observational
UNDISTORT Correction of Distortions in Diffusion MRI V1.0
Correction of Distortions in Diffusion MRI
NCT03151512CI-TRIAL-00054491UNDISTORTcompletedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This is a three-year project funded by a Cancer Research UK Multidisciplinary Award and brings together a team from UCL Division of Medicine, Computer Science and University College London Hospital. The aim is to develop Magnetic Resonance (MR) sequences and mathematical algorithms to reduce the distortions in MR images, especially of the prostate.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| MR Image Distortion Correction | — | UNRESOLVED | — |
| Prostate Cancer | Malignant Prostate Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Dice similarity score to assess distortions
- timeFrame
- Three Years
- description
- Dice score provides a measure of how similar is the distortion-corrected image to a reference.
Secondary outcomes (2)
- measure
- Radiological scoring of image quality
- timeFrame
- Three Years
- description
- Diffusion images will be scored blinded to correction scheme on a scale: 1 - undiagnostic, 2- distorted but diagnostic, 3 - undistorted. The change in score following the proposed method will be reported.
- measure
- Diffusion coefficient consistency
- timeFrame
- Three Years
- description
- Diffusion coefficients (ADC) in relatively undistorted regions will be compared pre and post distortion correction to quantify any changes (if the algorithm is working correctly, none are expected in these regions).
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 120 Years
Show eligibility criteria text
Inclusion Criteria: * For the development and testing phases, there are no specific inclusion criteria. Assessment of the primary outcome measure (reduced distortions) also does not require specific inclusion criteria. The intended application of our methods is to prostate cancer and this is reflected in some of the secondary outcome measures. Recruitment will come from the UCLH imaging bookings system. This list will include many men having prostate scans and many of these will subsequently be found to have at least a suspicion of cancer. Note there is no requirement for a suspicion of cancer to be recruited for the study. Exclusion Criteria: * Subjects unable to have an MRI scan due to contraindications for MRI, for example, pacemaker and certain other implants, severe claustrophobia. * Subjects unable to give informed consent. * Children and vulnerable populations.
References
Publications (0)
Data not yet available
No reference posted for this study.