Numerical Methods for Pulmonary Image Registration
Roberto Cavoretto, Alessandra De Rossi, Roberta Freda, Hanli Qiao,, Ezio Venturino

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.
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…
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · Surgical Simulation and Training · Medical Imaging and Analysis
