Vendor source

Reviewed 11 May 2026

Completeness Strong (78%)

MR Dynamic Susceptibility Contrast (DSC) perfusion imaging. Automated generation of quantitative perfusion parameter maps, without the need of manual drawing of reference tissue normalization ROIs. DSC perfusion MRI is used for assessment of tumors before, during, and after therapy to distinguish between tumor regrowth and normal treatment effects.

Supported by 12 papers

Key Features

  • Automated quantification of DSC perfusion parameters

General Information

Product name

IB Neuro

Modality

CT, MR

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Brain tumor, stroke

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class I

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

How to evaluate perfusion imaging in post-treatment glioma: a comparison of three different analysis methods

Neuroradiology · May 2024

Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists’ Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging—An Institutional Experience

American Journal of Neuroradiology · Mar 2024

DSC Perfusion MRI–Derived Fractional Tumor Burden and Relative CBV Differentiate Tumor Progression and Radiation Necrosis in Brain Metastases Treated with Stereotactic Radiosurgery

American Journal of Neuroradiology · Apr 2022

Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies

American Journal of Neuroradiology · Mar 2020

Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network 6677/Radiation Therapy Oncology Group 0625 Multicenter Brain Tumor Trial

American Journal of Neuroradiology · Jun 2019

Spatial discrimination of glioblastoma and treatment effect with histologically-validated perfusion and diffusion magnetic resonance imaging metrics

Journal of Neuro-Oncology · Sep 2017

Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma

American Journal of Neuroradiology · Sep 2015

Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial

Neuro-Oncology · Feb 2015

Longitudinal DSC-MRI for Distinguishing Tumor Recurrence From Pseudoprogression in Patients With a High-grade Glioma

American Journal of Clinical Oncology · Nov 2014

Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma

Neuro-Oncology · Jan 2014

Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter‐ and intrapatient comparisons

Magnetic Resonance in Medicine · May 2010

Comparison of Dynamic Susceptibility-weighted Contrast-enhanced MR Methods: Recommendations for Measuring Relative Cerebral Blood Volume in Brain Tumors

Radiology · Sep 2008

Technical Specifications

Patient population age

Not specified

Input

GRE-EPI

Input format

DICOM

Output

RGB, monochrome (quantitative), fused overlays, automated AIF information, and reporting of DSC parameter maps

Output format

Quantitative DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Plugin application to OsiriX environments, Stand-alone third party application

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, 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 seconds

Population

All MR and CT neuro perfusion exams

Market Presence

On market since

05-2018

AI Platforms

Resellers

Aycan medical systems, CorTechs Labs, Pixmeo, QMENTA

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

One-off payment with service contract, Subscription

Based on

Number of analyses, Number of installations

Source: Vendor | First published: May 2, 2024 | Last updated: May 11, 2026