Learning-based image registration methods have confirmed the ability of neural network
and achieved impressive performance. Recently, the convolutional neural network model …

Image registration is an important technology for closed reduction surgery navigation for
pelvic fractures, which can visualize and track the surgical process by registering the …

Establishing dense anatomical correspondences across different imaging modalities is a
fundamental yet challenging task in many medical image analysis studies. Existing …

Currently, direct methods for PET attenuation correction are typically based on NAC (Non
Attenuation Correction) PET directly generating AC (Attenuation Correction) PET. However …

In this paper, a registration method based on ultrasound images clustering with Gaussian
mixture model (UGMM) is proposed to suppress the interference for the wall pulsation …

Terahertz images are widely used in the field of security check because they have obvious
advantages in perspective ability compared with traditional visible light images. However …

At present, vascular interventional surgery mainly depends on the conventional coronary
angiography (CCA) and coronary computed tomography angiography (CCTA). However …

The introduction of probability model into point set matching has achieved great success.
Because the image point set has more outliers and the image has complex transformation …

The sliding motion of organ edges and smooth motion within the organ co-occur because of
the complexity of organ motion during respiration. Many registration methods assume a …

Deformable registration of lung Computed Tomography (CT) is an important research topic
in the field of medical image registration, which can help doctors better observe the …