# Numerical Methods for Pulmonary Image Registration

## TL;DR

This paper reviews the importance of pulmonary image registration in clinical applications, educational training, and summarizes current methods and research to improve accuracy for better diagnosis and treatment of lung diseases.

## Contribution

It provides a comprehensive survey of pulmonary image registration techniques, emphasizing clinical relevance and educational importance, with analysis of recent advances and challenges.

## Key findings

- Summarizes key methods used in pulmonary image registration.
- Highlights clinical applications and educational significance.
- Analyzes recent research to identify challenges and future directions.

## Abstract

Due to complexity and invisibility of human organs, diagnosticians need to analyze medical images to determine where the lesion region is, and which kind of disease is, in order to make precise diagnoses. For satisfying clinical purposes through analyzing medical images, registration plays an essential role. For instance, in Image-Guided Interventions (IGI) and computer-aided surgeries, patient anatomy is registered to preoperative images to guide surgeons complete procedures. Medical image registration is also very useful in surgical planning, monitoring disease progression and for atlas construction. Due to the significance, the theories, methods, and implementation method of image registration constitute fundamental knowledge in educational training for medical specialists. In this chapter, we focus on image registration of a specific human organ, i.e. the lung, which is prone to be lesioned. For pulmonary image registration, the improvement of the accuracy and how to obtain it in order to achieve clinical purposes represents an important problem which should seriously be addressed. In this chapter, we provide a survey which focuses on the role of image registration in educational training together with the state-of-the-art of pulmonary image registration. In the first part, we describe clinical applications of image registration introducing artificial organs in Simulation-based Education. In the second part, we summarize the common methods used in pulmonary image registration and analyze popular papers to obtain a survey of pulmonary image registration.

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Source: https://tomesphere.com/paper/1705.06147