Motion Immune Magnetic Resonance Imaging (MRI)

August 10, 2017 updated by: Duke University

Examining the Clinical Utility of Motion Immune MRI Across Multiple Patient Populations

The purpose of this study is to evaluate our recently developed MRI reconstruction strategy for producing artifact-free neuro and abdominal MRI data. The new reconstruction strategies, including 1) REKAM and 2) MUSE, are capable of effectively removing motion-related artifacts resulting from global and local motion during neuro and free-breathing abdominal MRI scans, without modifying the MRI pulse sequences and protocols that are currently used in clinical scans. The study team aims to recruit 60 subjects across multiple challenge patient populations: 10 healthy young adults (age 20-30) and 10 healthy older adults (aged 50-70) for abdominal MRI, as well as 20 tremor dominant PD patients and 20 children (age 4-8) for brain MRI scans. There are no known risks in taking MRIs and a unique code will be assigned to each participant to protect their PHI.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

16

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • North Carolina
      • Durham, North Carolina, United States, 27710
        • Duke University Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

There are 4 separate cohorts of patients. Please see earlier section. 60 subjects will participate in our study.

  • 10 healthy younger adult volunteers (ages 20 to 30)
  • 10 healthy older adult volunteers (ages 50 to 70) will be recruited for
  • 20 tremor-dominant patients with clinically diagnosed Parkinson's disease
  • 20 healthy children (4 to 8 y.o.)

Description

Inclusion Criteria:

  1. subject's age is within one of the following age ranges (4-8, 20-30, or 50-70 years old);
  2. male or female;
  3. healthy volunteer or diagnosed with PD ; and
  4. devoid of the following exclusion criteria.

Exclusion Criteria:

  1. claustrophobia or other MRI contraindications (including pregnancy);
  2. diagnosis for dementia (Alzheimer's, Lewy Body, or Vascular);
  3. symptomatic psychotic disorders;
  4. depression with psychotic symptoms;
  5. other psychotic or schizophrenic disorders;
  6. recent neuroleptic treatment;
  7. history of cardiovascular disease;
  8. history of stroke or Transient Ischemic Attack;
  9. cancer (other than skin cancer) within the last three years;
  10. hospitalization for neurological/psychiatric condition;
  11. significant handicaps (e.g., visual or hearing loss, mental retardation) that would interfere with neuropsychological testing or the ability to follow study procedures; or
  12. any other factor that in the investigators' judgment may affect patient safety or compliance.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Healthy Younger Adults
Age: 20-30. Gender: male or female. No neurological conditions.
It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).
Healthy Older Adults
Age: 50-70. Gender: male or female. No neurological conditions.
It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).
Parkinson's disease
Gender: male or female. Tremor dominant Parkinson's disease.
It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).
Healthy Children
Age: 4-8. Gender:male or female. No neurological conditions.
It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rating of image quality (based on 8 criteria) by multiple radiologists (blind to reconstruction method)
Time Frame: 1 day (At time of image analysis)
The ratings will be compared to compare the quality of images processed with MUSE versus conventional reconstruction methods
1 day (At time of image analysis)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Nan-kuei Chen, PhD, Duke University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 28, 2015

Primary Completion (Actual)

November 26, 2016

Study Completion (Actual)

November 26, 2016

Study Registration Dates

First Submitted

November 25, 2014

First Submitted That Met QC Criteria

November 26, 2014

First Posted (Estimate)

November 27, 2014

Study Record Updates

Last Update Posted (Actual)

August 11, 2017

Last Update Submitted That Met QC Criteria

August 10, 2017

Last Verified

July 1, 2016

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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