Abstract: Compositions and methods for evaluating a pharmacokinetic property of an ophthalmic agent administered by intravitreal injection are provided.

Abstract: The present disclosure is directed to methods and systems for fusing Phase Contrast Angiography (PCA) with anatomic images to create a perforator PCA (pPCA) data set. In the pPCA) method, vascular and anatomic information may be provided by different MRI sequences. A four-point acquisition scheme may be used for 3D PCA acquisition of vascular images. Anatomical MRI images are acquired and may be enhanced with image post-processing techniques. The vascular and anatomical images may be combined with image fusion to create a high resolution map of abdominal wall vasculature. This high resolution map visualizes not only the size and location of the DIEP perforators, but also their relationship with surrounding tissue, and the blood flow velocity within them. As such, the fused pPCA image has substantially higher SNR and CNR than CTA image of the same slice thickness.

Abstract: Compositions and methods for evaluating a pharmacokinetic property of an ophthalmic agent administered by intravitreal injection are provided.

Abstract: This invention relates to the use of particular contrast agents to prepare diagostic compounds suitable for non-invasive visualisation under physiological conditions of the intestinal tract, and the colon in particular.

Abstract: In a 3D magnetic resonance angiography (MRA) method, a region of interest, containing a major pulmonary vessel, is defined in an examination subject, and the subject is injected with a contrast agent bolus and a number of 3D magnetic resonance angiography data sets are obtained from the examination subject before, during and after arrival of the bolus in the region of interest. A slice from each of the data sets is selected which contains the region of interest, and an average region of interest signal as a function of time is determined and stored as a reference time curve. In the respective selected slices, a signal-time curve is identified and each signal-time curve is cross-correlated with the reference time curve. The cross-correlation results are used to form a new three-dimensional data set containing arterial and venous correlation maps.