Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning.
Maria PanayiotouAndrew P. KingKanwal K. BhatiaRichard James HousdenYingLiang MaC. Aldo RinaldiJaswinder S. GillMichael CooklinMark D. O'NeillKawal S. RhodePublished in: STACOM (2013)
Keyphrases
- x ray
- manifold learning
- digital x ray images
- three dimensional
- fluoroscopic images
- tomographic images
- patient specific
- intraoperative
- transmission electron microscopy
- computer tomography
- x ray images
- medical imaging
- clinical applications
- ct scans
- input image
- image features
- image data
- low dimensional
- respiratory motion
- semi supervised
- left ventricle
- guide wire
- left atrium
- dimensionality reduction
- image segmentation
- pulmonary veins
- image guided
- object recognition
- high dimensional
- pre operative
- human motion
- feature extraction
- sparse representation
- high dimensional data
- cone beam
- image classification
- image registration
- ct volume
- feature space