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Reviewed 9 Sept 2026

Completeness Strong (69%)

GIQuant®

FDA

GIQuant is a post processing application which uses image registration to quantify motion in dynamic abdominal MR imaging data. GIQuant outputs a parametric map that can be used by physicians to obtain specialized measurements and perform advance analysis of the bowel wall. GIQuant is integrated within a DICOM compliant workflow server and the output can be viewed in standard 'off the shelf' DICOM viewers.

Supported by 5 papers

Key Features

Intestinal motility scoring
Motility visualization

General Information

Product name

GIQuant®

Company

Motilent

Modality

Main task

Not specified

Subspeciality

Abdomen

Disease targeted

Crohn’s Disease, Irritable Bowel Syndrome (IBS) and Gastroparesis

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Peer-Reviewed Papers

The CONTEXT trial: Real world clinical use of GIQuant—a motility MRI based activity biomarker for small bowel Crohn’s disease

Journal of Crohn's and Colitis · Feb 2026

Magnetic resonance imaging-based ileal motility quantification predicts stricture response to biologic therapy in Crohn’s disease

Pediatric Radiology · Nov 2025

Quantitative assessment of terminal ileum motility on MR enterography in Crohn disease: a feasibility study in children

European Radiology · Aug 2020

Magnetic resonance imaging‐quantified small bowel motility is a sensitive marker of response to medical therapy in Crohn's disease

Alimentary Pharmacology & Therapeutics · Jun 2015

Global Small Bowel Motility: Assessment with Dynamic MR Imaging

Radiology · Jun 2013

Technical Specifications

Patient population age

Not specified

Input

Cine MRI, Magnetic Resonance Enterography, Abdominal, Steady-state free-precession, SSFP

Input format

DICOM

Output

Parametric Map, Anatomical Reference Image, Structured Report

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform

Deployment

Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

> 10 minutes

Population

Adults and children suffering with, or with the suspicion of, diseases or conditions affecting the small bowel (e.g. Crohn’s Disease).

Market Presence

On market since

06-2019

AI Platforms

Nuance

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Not specified

Source: Vendor | First published: Nov 24, 2021 | Last updated: Sep 9, 2026