Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

Lung imaging is increasingly being used to diagnose, quantify, and phenotype chronic
obstructive pulmonary disease (COPD). Although spirometry is the gold standard for the …

Purpose To develop an accurate and fast deformable image registration (DIR) method for
four‐dimensional computed tomography (4D‐CT) lung images. Deep learning‐based …

Deformable image registration is an important tool in medical image analysis. In the case of
lung computed tomography (CT) registration there are three major challenges: large motion …

We present a novel algorithm for the registration of pulmonary CT scans. Our method is
designed for large respiratory motion by integrating sparse keypoint correspondences into a …

Landmark point-pairs provide a strategy to assess deformable image registration (DIR)
accuracy in terms of the spatial registration of the underlying anatomy depicted in medical …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is causing an
exponentially increasing number of coronavirus disease 19 (COVID-19) cases globally …

Several biomedical applications require accurate image registration that can cope effectively
with complex organ deformations. This paper addresses this problem by introducing a …

Lung registration in thoracic CT scans has received much attention in the medical imaging
community. Possible applications range from follow-up analysis, motion correction for …

Background Functional lung avoidance radiation therapy (RT) is a technique being
investigated to preferentially avoid specific regions of the lung that are predicted to be more …