PET Parametric Imaging Using Steady-State Blood Input Function

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Solution Overview

Problem

Conventional PET imaging methods require Blood Input Function (BIF) values obtained through patient scanning or population-based data, which are uncomfortable, prone to imaging artifacts, and may not suit individual patients, hindering efficient generation of parametric images.

Innovation Solution

Generate parametric images using dynamic PET data acquired after a non-metabolized tracer reaches a steady state, employing parametric models that replace pre-acquisition BIF values with initial steady state tissue activity concentration and BIF values, and utilize direct or indirect reconstruction techniques to create parametric images without relying on intermediate SUV images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If patient scanning is performed immediately after tracer injection to obtain BIF values, then accurate BIF data is obtained, but patient discomfort increases and imaging artifacts occur due to patient motion

Engineering Contradiction:
ImproveBIF data accuracyVSAvoidpatient discomfort and imaging artifacts
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent performs preliminary action by acquiring dynamic PET data during a steady-state period after tracer injection, before the actual parametric imaging is performed. This allows the system to capture necessary blood input function information during a stable period when the tracer has distributed evenly, avoiding the need for immediate post-injection scanning that causes patient discomfort and motion artifacts.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses an intermediary approach by introducing a steady-state period as a mediator between tracer injection and BIF measurement. During this intermediate phase, the tracer has had time to distribute uniformly throughout the body, creating stable conditions for accurate measurement without the harmful effects of immediate post-injection scanning.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If patient scanning is performed immediately after tracer injection to obtain BIF values, then accurate BIF data is obtained, but imaging theatre availability is reduced

Engineering Contradiction:
ImproveBIF data accuracyVSAvoidimaging theatre occupancy
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary action by acquiring dynamic PET data during a steady-state period after tracer injection, before the actual parametric imaging is performed. This allows the system to capture necessary blood input function information during a stable period when the tracer has distributed evenly, avoiding the need for immediate post-injection scanning that causes patient discomfort and motion artifacts.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies partial action by acquiring only the necessary dynamic PET data during the steady-state period, rather than performing complete immediate post-injection scanning. This partial acquisition during a later time point provides sufficient BIF information for parametric imaging while significantly reducing the total time the imaging theatre is occupied.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If population-based BIF values are used for parametric image generation, then imaging efficiency is improved, but accuracy decreases due to poor suitability for individual patients

Engineering Contradiction:
Improveimaging efficiencyVSAvoidparametric image accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent implements self-service by enabling each patient's system to generate their own patient-specific BIF values through dynamic PET data acquisition during the steady-state period. Instead of relying on population-based averages, each patient's unique physiological characteristics are captured and used to create personalized parametric images, improving accuracy while maintaining efficiency through automated processing.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent applies parameter changes by transitioning from fixed population-based BIF values to dynamic, patient-specific BIF values that are continuously updated during the steady-state period. This allows the BIF parameters to adapt to each patient's individual tracer kinetics, improving the accuracy of parametric images while maintaining imaging efficiency through automated reconstruction algorithms.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach reduces patient discomfort, minimizes imaging artifacts, and ensures accurate parametric image generation suitable for individual patients, improving the efficiency and accuracy of PET imaging.

Implementation Method 1

Radioactive decay of the tracer generates positrons which eventually encounter electrons and are annihilated thereby. The annihilation produces two 511 keV photons

Methodology Applied
Scientific EffectRadioactive decay: Radioactive Decay

Data Source

PatentUS12530828B2Parametric imaging without pre-scan blood input function
Publication Date: 2026.01.20 SIEMENS MEDICAL SOLUTIONS USA INC
  • US12530828B2 patent drawing
  • US12530828B2 patent drawing
  • US12530828B2 patent drawing

AI summary

Systems and methods include acquisition of positron emission tomography (PET) data of a volume comprising blood and tissue, determination, from the acquired PET data, of a blood input function (BIF) from a time at which non-metabolized radionuclide tracer within the volume has reached a steady state between the blood and the tissue, and determination of parametric images based on the acquired PET data, the determined BIF and a parametric model which does not include BIF values prior to the time.