Abstract

Image registration-based local displacement analysis enables evaluation of respiratory motion between two computed tomography-captured lung volumes. The objective of this study was to compare diaphragm movement among emphysema, idiopathic pulmonary fibrosis (IPF) and normal subjects. 29 normal, 50 emphysema, and 51 IPF subjects were included. A mass preserving image registration technique was used to compute displacement vectors of local lung regions at an acinar scale. Movement of the diaphragm was assumed to be equivalent to movement of the basal lung within 5 mm from the diaphragm. Magnitudes and directions of displacement vectors were compared between the groups. Three-dimensional (3D) and apico-basal displacements were smaller in emphysema than normal subjects (P = 0.003, P = 0.002). Low lung attenuation area on expiration scan showed significant correlations with decreased 3D and apico-basal displacements (r = − 0.546, P < 0.0001; r = − 0.521, P < 0.0001) in emphysema patients. Dorsal–ventral displacement was smaller in IPF than normal subjects (P < 0.0001). The standard deviation of the displacement angle was greater in both emphysema and IPF patients than normal subjects (P < 0.0001). In conclusion, apico-basal movement of the diaphragm is reduced in emphysema while dorsal–ventral movement is reduced in IPF. Image registration technique to multi-volume CT scans provides insight into the pathophysiology of limited diaphragmatic motion in emphysema and IPF.

Highlights

  • Image registration-based local displacement analysis enables evaluation of respiratory motion between two computed tomography-captured lung volumes

  • The standard deviation (SD) of displacement angles in both emphysema and idiopathic pulmonary fibrosis (IPF) groups was greater compared to normal subjects

  • By registering two computed tomography (CT) images obtained at different lung volume, automated and quantified CT analysis is feasible

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Summary

Introduction

Image registration-based local displacement analysis enables evaluation of respiratory motion between two computed tomography-captured lung volumes. In 2009, Yin et al.[14] developed a mass preserving non-rigid image registration methods to obtain local-to-local matching of two computed tomography (CT) acquired at different inspiration levels, using the sum of squared tissue volume difference (SSTVD) approach. The purpose of this study is to compare diaphragm movement among emphysema, IPF and normal subjects using image registration based local displacement technique, “lung motionography”

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