Automated dosimetry Accurate dosimetry is a cornerstone of preclinical research, particularly in the development of radioligand therapies. preclinIQ provides automated dosimetric analysis directly from AI-generated segmentations, eliminating the need for manual organ delineation. Our pipeline quantifies organ-level activity from PET or SPECT data, delivering standardized uptake values (SUVs) and dose estimates with high correspondence to expert annotations. This ensures that preclinical …

Seamless DICOM integration The preclinIQ pipeline integrates directly with existing imaging workflows through standard DICOM communication. Scans are transferred automatically from the scanner to a remote DICOM server, where segmentations are generated. The resulting images are then returned in the same DICOM format, ensuring immediate compatibility with any DICOM-compliant analysis software.

Segmentation accuracy Our AI models deliver reliable results across studies. Even under strict quality criteria (requiring accurate segmentation in at least 6 out of 7 organs), failure rates were below 4% when tested on a hard and diverse data set of 259 rats and mice using cross-validation. This means researchers can trust the segmentations to be consistent, reproducible, and ready for dosimetry. Accuracy and consistensy is of the utmost importance for automated segmentation of CT images. At …

Automated Multi-Organ Segmentation Manual vs. Automated Segmentation Time Manual Segmentation ~45 minutes PreclinIQ Segmentation ~5 minutes We have created an AI-powered segmentation framework designed specifically for preclinical CT imaging. It’s trained on 300+ curated mouse and rat scans from multiple scanners and studies, making it: Robust across species, protocols, and imaging setups Accurate, achieving near-human performance Scalable, reducing segmentation time from 45 minutes to 5 minutes …