Review on 4D models for organ motion compensation.

Area of Science:

• Medical Physics
• Oncology
• Medical Imaging

Background:

• Minimally invasive tumor therapies demand high precision for effective targeting.
• Organ motion, particularly due to respiration, significantly impacts therapeutic accuracy.
• Accurate localization of target structures is crucial for successful treatment delivery.

Purpose of the Study:

• To review 4D organ models for compensating respiratory motion in tumor therapies.
• To provide an overview of motion effects, quantification methods, and prediction strategies.
• To detail organ motion models that predict structure locations using surrogates.

Main Methods:

• Review of existing literature on 4D organ motion modeling.
• Analysis of methods for capturing and quantifying respiratory motion.
• Evaluation of surrogate types and temporal prediction techniques for motion compensation.

Main Results:

• Respiration induces significant organ motion affecting therapeutic outcomes.
• Various methods exist to capture, quantify, and predict respiratory motion.
• 4D organ models can predict structure locations from measured surrogates.

Conclusions:

• 4D organ models are essential for compensating respiratory motion in advanced tumor therapies.
• Precise motion compensation enhances targeting accuracy and therapeutic efficacy.
• Further development in motion modeling will improve minimally invasive treatment outcomes.