The "Spectral CT Material Decomposer" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 108 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 108 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Spectral CT Material Decomposer.
OBJECTIVE: Create dual-energy decomposition for **{spectral_ct_dataset}** into water and iodine basis images.
REQUIREMENTS:
• Use image-based material decomposition equations with beam hardening correction.
• Include {reconstruction_kernel} kernel description.
• Provide quantification of iodine concentration in mg/ml for ROI list.
OUTPUT FORMAT: Markdown with equations and results table.