심폐질환의 질병특성 분석을 위한 의료영상에서의 물리적 운동 계량

Abstract

In the progression of cardiac & pulmonary diseases, morphological and physical characteristics change. Though heart and lung require physical motions to maintain vital activities, there is a knowledge gap between physical characteristics and pathophysiological aspects of the cardiac and pulmonary diseases. To fill the gap, image registration based physical motion analysis methods were constituted and assessed through several applications, such as Chronic Obstructive Pulmonary Disease (COPD), Idiopathic Pulmonary Fibrosis (IPF), drug-induced cardiomyopathy.

The constituted framework for the motion of biomechanical media provides fully 12 degrees of freedom as two subgroups; displacement and deformation, of which comparison is essential to understand the behavior of the target media as the results of the load – resistance competitions. More specifically, 2 types of directional information about motion were derived in every point-grid in the domain of calculation: directions of motion and loaded face.

Firstly, two or more volume images at specific dynamic phases of motion were registered by using the series of rigid, non-rigid, and level-set registration techniques to calculate displacement fields at every measured point within the target domain. Then the calculation of deformation fields was constituted using the concept of continuum in applied physics, which provides theoretical frameworks for the physical motions of continuous media with finite volume, i.e., solids or fluids. Measures representing different aspects of biomechanical motion were derived from the calculated deformation fields and applied to the COPD, IPF, drug-induced cardiomyopathy.

In conclusion, theoretical and technical frameworks providing the physical motion in medical images were constituted with the image registration, and measures representing the physical motions are expected to have the potential usefulness in understanding the physiological status of cardiac and pulmonary diseases.