To develop a novel robust method for medical image denoising that uses prior anatomical structure information to perform spatially variant noise reduction in each anatomical region in the image, without degrading edge and texture information between …
To develop a novel robust method for medical image denoising that uses prior anatomical structure information to perform spatially variant noise reduction in each anatomical region in the image, without degrading edge and texture information between …
Automatic segmentation is very valuable for computer aided diagnosis and contouring during radio- therapy planning. When dealing with multiple image sets, such as the different respiratory phases in 4D-CT data, simultaneous co-segmentation of …
To facilitate adaptive image filtering operations, addressing spatial variations in both noise and signal. Such issues are prevalent in cone-beam projections, where physical effects such as X-ray scattering result in spatially variant noise, …
To facilitate adaptive image filtering operations, addressing spatial variations in both noise and signal. Such issues are prevalent in cone-beam projections, where physical effects such as X-ray scattering result in spatially variant noise, …