Phantech Phantom Quality Control Module

Gremse-IT collaborates with Phantech, a leading provider of nuclear medicine phantoms, to develop fully automated analysis workflows within the Imalytics Preclinical platform. This collaboration aims to streamline the evaluation process of scanner performance and quality control using some of the most widely adopted PET and SPECT phantoms in preclinical imaging. By embedding phantom-specific algorithms directly into Imalytics, we enable researchers and imaging technicians to conduct phantom-based performance assessments in a matter of seconds, without the need for manual region selection or custom scripting. The system offers a simple user interface where the appropriate phantom can be selected from a dropdown menu, triggering an automated pipeline that includes segmentation, quantification, and report generation. This advancement significantly reduces the time and complexity associated with routine scanner calibration and daily QA tasks.

The automated workflows support a broad suite of Phantech phantoms, each of which addresses a unique aspect of system performance evaluation. The MicroDerenzo Phantom allows users to assess resolution by analyzing linearly filled rod structures, delivering automated segmentation and scoring. The Partial Volume Correction (PVC) Phantom is designed to evaluate quantification linearity and partial volume effects across varying rod diameters, making it ideal for validating quantitation accuracy. The BioMouse™ Phantom, which mimics the biodistribution profile of a small animal subject, supports comprehensive analysis of quantification, spillover, and multimodal image co-registration. When the total administered activity is entered, the software computes values such as %ID/ml automatically. The Uniformity Phantom facilitates rapid assessments of signal consistency across the field of view, a key metric in daily quality assurance protocols. Finally, the NEMA/SPECT-IQ Phantom enables standardized recovery coefficient and contrast evaluation, aligned with NEMA NU 4 recommendations for preclinical imaging systems.

This integration of Phantech’s physical phantoms with Gremse-IT’s automated software analytics has created a powerful toolkit for preclinical labs focused on imaging accuracy and reproducibility. With standardized performance metrics such as homogeneity, spatial resolution, noise level, fusion accuracy, recovery coefficients, and bias correction calculated automatically, Imalytics helps ensure that system validation is not only fast but also consistent and scientifically robust. By reducing a previously manual and error-prone process to a few simple steps, this collaboration has improved efficiency and reliability for imaging facilities worldwide, helping them meet both regulatory standards and internal benchmarks with minimal operational burden.