MR Compatible Accelerometer for Respiratory MOTion Measurement (MARMOT)

A novel magnetic resonance (MR) compatible accelerometer for respiratory motion sensing (MARMOT) has been developed as a surrogate of the vendors' pneumatic belts. The aim is to model and correct respiratory motion for free-breathing thoracic-abdominal MR imaging and to simplify patient installation.

Study Overview

• Status: Completed
• Conditions: Heart Disease
• Intervention / Treatment: Device: MRI compatible motion sensor (MARMOT)

Detailed Description

Respiratory motion is a serious problem in the acquisition of high-quality thoracic/abdominal magnetic resonance (MR) images. Various methods have been proposed to compensate the motion-induced artefacts, including breathholding, respiratory gating and model-driven motion correction.

Breath-holding is the simplest among the three. However this conventional clinical method induces various problem, including inefficient use of scanners, inconsistent organ position between each breath-hold, imaging an altered physiological status and patient inconvenience especially for those who suffer from respiration difficulties. Free-breathing MR acquisition has therefore become of great clinical interest recently.

The investigators intend to examine the efficacy of the MARMOT sensors for:

• modelling and predicting the respiratory motions in abdominal scans,
• correcting for the respiratory motion in a cardiac cine scan, via a reconstruction-based method.

• Study Type: Interventional
• Enrollment (Actual): 24
• Phase: Not Applicable

Contacts and Locations

Study Locations

• France
  • Vandoeuvre-lès-Nancy, France, 54511
    • Centre Hospitalier Régional Universitaire de Nancy Brabois

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

Description

Inclusion Criteria:

• To not have cardiac, hepatic or renal pathology
• To be more than 18
• To be enrolled in a social security plan
• To have signed an informed consent
• To have preliminary medical examination

Exclusion Criteria:

• Contraindication: implantable devices (pacemakers, defibrillators, cochlear implants, etc.), metallic foreign bodies
• Impossibility to undergo MRI : claustrophobia, morbid obesity
• Pregnancy or risk of pregnancy
• Patient under a measure of legal protection

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Diagnostic
• Allocation: N/A
• Interventional Model: Single Group Assignment
• Masking: None (Open Label)

Number of Arms

1

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: Healthy volunteers; Volunteers without cardiac, hepatic or renal pathology	Device: MRI compatible motion sensor (MARMOT); MRI with motion control (several motion sensors placed on the volunteer's body)

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Respiratory movement using respiratory belts	Respiratory belts, which are usually used in MRI to monitor respiratory movements and brath-holding, are placed around the volunteer's body (on the abdominal and on the thoracic level). They give the average displacement (in mm) across time generated by the respiratory movement.	four months
Respiratory movement using MARMOT sensors	MARMOT sensors are placed on the volunteer's body (4 sensors placed on the thorax or on the abdomen). MARMOT sensors give 2 measures : acceleration generated by the respiratory movement (in mm/s²) in 3 directions and rotation generated by the respiratory movement (angle in °/s) in 3 directions.	four months
Respiratory movement using real-time MR images	Motion measurement (in mm) directly on the MR images (using real-time MR imaging)	four months

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Subjective quality (marks between 1 (the best) and 3 (the worst) of the reconstructed MR images)	Comparing the quality of the reconstructed cardiac cine images obtained with the cine-GRICS algorithm using: the pneumatic belts alone; all MARMOT signals; signals from only one MARMOT sensor. Three cardiologists are shown with the motion-compensated cine movies obtained using these three sensor configurations. The movies are presented in random ordering on the screen so that the clinicians are blind to the sensor configuration. They are then asked to rank them by overall image quality (1=best, 2=second best, 3=worst). Equal quality ranking is allowed in this procedure.	four months

Collaborators and Investigators

• Sponsor: Central Hospital, Nancy, France
• Investigators: Principal Investigator: Laurent Bonnemains, Dr, Inserm - U947

Study record dates

Study Major Dates

• Study Start: July 1, 2013
• Primary Completion (Actual): August 1, 2016
• Study Completion (Actual): August 1, 2016

Study Registration Dates

• First Submitted: August 24, 2016
• First Submitted That Met QC Criteria: September 5, 2016
• First Posted (Estimate): September 9, 2016

Study Record Updates

• Last Update Posted (Estimate): September 9, 2016
• Last Update Submitted That Met QC Criteria: September 5, 2016
• Last Verified: September 1, 2016

More Information

Terms related to this study

• Keywords: MRI; Motion; Respiratory movement; Artifacts correction
• Additional Relevant MeSH Terms: Cardiovascular Diseases; Heart Diseases
• Other Study ID Numbers: 2012-A00874-39

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: No