Metabolic Tumor Volume (MTV): Advanced PET Segmentation
Automate high-precision lesion contouring to enable new imaging biomarkers in nuclear medicine clinical trials.
Standardizing Metabolic Tumor Volume through AI-Driven Analysis
"In multicenter research, manual Tumor Segmentation is often the weakest link due to significant inter-observer variability."
GaelO provides state-of-the-art algorithms specifically designed for the automated extraction of the Metabolic Tumor Volume (MTV). By quantifying the entire viable tumor mass, our technology provides a much more robust reflection of patient prognosis than traditional 1D or 2D measurements.
Our suite of algorithms ensures that your Metabolic Tumor Volume data is reproducible, regardless of the camera manufacturer or reconstruction protocol used at the investigator site.
High-Precision Tumor Segmentation Across Tracers
Two dedicated AI pipelines, one for each clinical context — built to deliver reproducible, regulatory-ready volumes whether you're running a lymphoma trial or a theranostics dosimetry study.
FDG PET: Total Metabolic Tumor Volume (TMTV)
GaelO specializes in the automated extraction of the Total Metabolic Tumor Volume (TMTV) in oncology. Our AI-driven Tumor Segmentation accurately filters out physiological uptake (e.g., bladder, brain, heart) to focus exclusively on pathological lesions. This provides researchers with a 100% medically validated volume, essential for lymphoma and solid tumor studies.
PSMA & DOTATOC: Volumetric Tumor Burden Assessment
For prostate cancer and neuroendocrine tumors, precision is critical for dosimetry and therapy response. We leverage advanced Tumor Segmentation to calculate the metabolic burden, allowing for a precise evaluation of specific tracer uptake in theranostics.
A unified infrastructure for medical imaging research
From clinical trial centralization to research PACS and AI segmentation — three complementary products covering the full lifecycle of medical imaging in clinical research.
GaelO
Collection and centralized reading of clinical trials. From DICOM upload to Blind Independent Central Review with disease-specific criteria — GDPR/HIPAA compliant, fully auditable.
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GaelO Flow
Research PACS for retrospective and Real World Evidence studies. Orchestrate medical imaging data: query/retrieve, batch de-identification, AI inference pipelines and seamless export.
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AI Segmentation Algorithms
FDG, PSMA, DOTATOC. Automated PET segmentation to extract Total Metabolic Tumor Volume (TMTV) human-in-the-loop, 100% medically validated, regulatory-ready.
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