Medical image registration has acquired immense significance in automated or semiautomated medical image analysis, intervention planning, guidance, and assessment of disease progression or effects of treatment.
Two basic strategies have been explored for MRI-guided prostate gland biopsy: (1) co-registration of acquired diagnostic MRI images to transrectal ultrasound (TRUS) biopsy devices, and (2) stereotactic needle interventions within conventional diagnostic scanners using careful patient positioning or with the aid of simple manipulators.
For example, if a publisher has been assigned copyright to a work, it will file a copyright registration in its own name and indicate on the registration that it acquired copyright through a legal transfer.
While some efficient procedures have been developed lately, the registration of images acquired from sensors operating in different modalities is still a challenging problem.
Secondly, the registration equations are acquired automatically by the proposed hybrid approach and the contours are then registered based on the equations.
Because the CS-OCT data is inherently volumetric, the retinal landmarks (such as blood vessels) permit registration of rapidly acquired volumes from slightly different areas.
Two sets of structural images were collected for registration: coplanar images, acquired using a T1 flash sequence (TR = 300 ms, TE = 2.46 ms, flip angle = 60°, field of view = 220 mm, matrix = 256, 34 slices) and high-resolution images acquired using a 3-D MPRAGE sequence (TR = 2000 msec, TE = 2.96 msec, flip angle = 9°, field of view = 256 mm, matrix = 256, voxel size = 1 × 1 × 1 mm, 160 slices).
Simultaneous acquisition of PET and MR images results in highly accurate anatomical registration that is more readily integration into clinical workflow than software co-registration of separately acquired PET/MRI data sets.
The purpose of this study was to develop a calibration method which improves the resolution and co-registration of simultaneously acquired hybrid fluoroscopic and nuclear images, by estimating the geometric parameter set used for reconstruction and co-registration using phantom measurements.
To improve the resolution and co-registration of simultaneously acquired fluoroscopic and nuclear images, we developed a calibration method that estimates the geometric parameter set.
To illustrate the co-registration of simultaneously acquired fluoroscopic and nuclear images in a dynamic situation, acquisitions were performed of two syringes containing 49 MBq of 99mTc.
