Tokyo, Sept. 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000062692) titled 'A Study on Evaluation Methods for Determining Appropriate Settings for MRI Image Creation Using Deep Learning' on Sept. 1.
Study Type:
Observational
Primary Sponsor:
Institute - Fukushima Medical University
Condition:
Condition - Not applicable
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - Deep Learning Reconstruction (DLR) in MRI is useful for improving image quality and reducing scan time; however, appropriate reconstruction parameters may vary depending on the imaging sequence. In current clinical practice, reconstruction parameters are mainly determined based on visual assessment of reconstructed images, which is subjective and may have limited reproducibility. Furthermore, no objective and quantitative method for determining appropriate reconstruction parameters has yet been established. The aim of this study is to explore and develop objective evaluation metrics for determining DLR reconstruction parameters in MRI.
Basic objectives2 - Efficacy
Eligibility:
Age-lower limit - 18
years-old
<=
Age-upper limit - Not applicable
Gender - Male and Female
Key inclusion criteria - 1.Healthy adults aged 18 years or older at the time of informed consent.
2.Individuals with no metallic implants and no claustrophobia.
3.Individuals who have provided informed consent to participate in this study.
Key exclusion criteria - 1.Individuals with metallic implants or implanted medical devices.
2.Individuals with claustrophobia.
3.Individuals who are pregnant or may be pregnant.
Target Size - 10
Recruitment Status:
Recruitment status - Preinitiation
Date of protocol fixation - 2026 Year 07 Month 10 Day
Anticipated trial start date - 2026 Year 09 Month 01 Day
Last follow-up date - 2027 Year 04 Month 30 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071769
Disclaimer: Curated by HT Syndication.
