Several unenhanced MRI strategies have been implemented for imaging the thoracic aorta including SSFP, spin-echo, gradient echo, time-of-flight, and phase-contrast imaging [ 10, 12, 13, 18, 19].
Both systems would be regarded as state-of-the-art with the Intevo, in particular, having enhanced reconstruction algorithms aimed at quantitative SPECT imaging (although not yet implemented for 177Lu imaging).
The instrument is discussed from an operational point of view, including the details of data acquisition and processing implemented for 3D imaging via micro-CT.
While all these modalities are implemented for in vivo imaging, there are certain differences in terms of animal handling and preparation for imaging, how the monitoring systems are implemented and, importantly, how the imaging procedures themselves can affect mammalian physiology.
An easy to implement kinetic modeling for imaging P-glycoprotein function is presented in mice without arterial blood sampling.
A complete automated experimental system has been implemented for testing the imaging performance of cMUT arrays.
Ex vivo images were acquired by harvesting liver, spleen, gastrointestinal tract (GIT), kidneys, urinary bladder, heart, lungs, muscle, U87-MG, PC-3-PIP, and PC-3-flu tumors and displaying them on plastic Petri dishes before imaging using the same acquisition parameters implemented for the relevant in vivo imaging.
While all these modalities are implemented for non-invasive in vivo imaging, there are certain differences in terms of animal handling and preparation, how the monitoring systems are implemented and, importantly, how the imaging procedures themselves can affect mammalian physiology.
The present study investigates whether the DBSI technique can be implemented for clinically feasible diffusion tensor imaging (DTI) studies which have been widely used for axonal tractography analysis to guide presurgical planning of tumor resection.
The imaging parameters implemented for SSFP MRA were: field-of-view (FOV) 400 × 400 mm, flip angle 90˚, readout bandwidth 980 Hz/pixel, matrix size 256 × 256 leading to true in-plane resolution of 1.6 × 1.6 mm, TE 1.0 ms, TR 2.3 ms.
Moreover, weather radar systems and digital imaging techniques are now implemented for creating bird distribution maps which can be helpful when modifying flight paths.
