Cortechs.ai | On-Demand Prior Processing: A Guide for MRI Technologists, IT, PACS, and Radiologists

On-Demand Prior Processing: A Guide for MRI Technologists, IT, PACS, and Radiologists

Introduction

On-Demand Prior Processing v4.1 by Cortechs.ai marks a significant leap to improve longitudinal analysis of NeuroQuant studies. This blog post aims to unpack this new operational feature improvement. 

What is On-Demand Prior Processing 4.1?

On-Demand Prior Processing 4.1 is designed to streamline and enhance the processing of MRI studies by incorporating prior studies processed with NeuroQuant. When a client is updated to version 4.1 and submits a new study, the system will:

  1. Search for a prior study.
  2. Re-run the older study with version 4.1 before processing the newest study.
  3. This eliminates the need for clients to upload priors that were run on earlier versions of NeuroQuant (NQ).

This integration ensures that the most accurate and up-to-date processing protocols are applied to both new and prior studies, providing a consistent and reliable basis for longitudinal analysis.

Key Features and Considerations

1. Study Processing Specifics:

  •    Only the most recent prior study will be processed. For multiple timepoints, clients must re-upload the oldest case to the most recent for comprehensive multi-time point results.
  •    Results from prior studies will not be returned to the prior report folder but will be integrated into the latest study’s analysis.

2. Longitudinal Study Rules:

  •    Consistency is key: the same manufacturer, field strength, and MRI protocol must be used across studies.
  •    Studies processed with “derived” or multi-planar (MPR) sequences are incompatible with version 4.1 due to new filters blocking these images.
  •    If a prior study failed previously, it will not be processed under the new version.

3. Graphic User Interface (GUI) and Output:

  •    The user GUI will download the older version’s output for older time points.
  •    If QC checks were disabled in the prior study, processing may fail when QC checks are enabled under version 4.1.

Conclusion

The introduction of On-Demand Prior Processing 4.1 represents a significant advancement in processing brain MRI studies for NeuroQuant. This feature eliminates any additional steps for the imaging department of having to push priors before sending the current study. This will increase user satisfaction and ensure appropriate longitudinal studies are being evaluated.

Thank You

For more information and support, visit www.cortechs.ai or contact your Cortechs.ai representative.

More Resources

06/16/2025

Seeing Alzheimer’s More Clearly: How PET Imaging Is Changing the Game

PET imaging is transforming how we detect and monitor Alzheimer’s disease, enabling earlier diagnosis, better disease tracking, and more personalized treatment.

06/11/2025

Cortechs.ai and RMS Medical Devices Forge Distribution Partnership to Expand Access to AI-Powered Imaging Solutions in the Benelux Region

We’re excited to announce our new partnership with RMS Medical Devices to our advanced neuroimaging and prostate imaging solutions to the Benelux region

06/04/2025

Cortechs.ai and deepc Announce Strategic Partnership to Advance AI Integration in Radiology

Press Release: Delivering Clinically Validated AI Solutions for Enhanced Imaging Precision and Workflow Efficiency

05/29/2025

Enhancing Imaging Workflow with DICOM SR: NeuroQuant®’s Seamless Integration 

As imaging becomes more data-driven, tools like NeuroQuant® with DICOM SR support pave the way for smarter, more connected radiology

05/18/2025

Cortechs.ai and ALZ-NET Announce Strategic Collaboration to Improve Alzheimer’s Disease Care Through AI-Driven Imaging

This new strategic collaboration aims to enhance the quality of care for people living with Alzheimer’s disease.

05/16/2025

Case Study: NeuroQuant® for ARIA: Monitoring ARIA Progression in Early Alzheimer’s Disease

Dr. Suzie Bash highlights how advanced imaging with NeuroQuant for ARIA supported detection and monitoring of ARIA-E and ARIA-H in an 81-year-old patient.
Scroll to Top