Motion Immune Magnetic Resonance Imaging (MRI)

NCT ID: NCT02302521

Last Updated: 2017-08-11

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 16 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2015-05-28
• Study Completion Date: 2016-11-26

Brief Summary

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.

Conditions

Parkinson's Disease

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: PROSPECTIVE

Study Groups

Healthy Younger Adults

Age: 20-30. Gender: male or female. No neurological conditions.

Multiplex Sensitivity Encoding (MUSE)

Intervention Type: DEVICE

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.

Multiplex Sensitivity Encoding (MUSE)

Intervention Type: DEVICE

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.

Multiplex Sensitivity Encoding (MUSE)

Intervention Type: DEVICE

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.

Multiplex Sensitivity Encoding (MUSE)

Intervention Type: DEVICE

It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).

Interventions

Multiplex Sensitivity Encoding (MUSE)

It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).

Intervention Type: DEVICE

Eligibility Criteria

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

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.

• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Duke University

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Nan-kuei Chen, PhD

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

Duke University Medical Center

Durham, North Carolina, United States

Countries

United States

References

Chen NK, Guidon A, Chang HC, Song AW. A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE). Neuroimage. 2013 May 15;72:41-7. doi: 10.1016/j.neuroimage.2013.01.038. Epub 2013 Jan 28.

Reference Type: BACKGROUND

PMID: 23370063 (View on PubMed)

Other Identifiers

Pro00057343

Identifier Type: -

Identifier Source: org_study_id