Multiplanar isotropic resolution, a very high quality multiplanar

Multiplanar reformatting (MPR) is one of post
processing technique used to create some new images composed of different
planes from a single plane acquired in real projection data, axial plane. In CT
reconstruction and reformatting, MPR used to produce into 3 kind of plane,
sagittal , coronal and oblique. For this technique, thinner slice selection is
preferable and is used as it offer better and higher spatial resolution during
the scanning process. During reformatting and reconstructing, only raw data is
used and processed. From all these different planes derived from MPR ,it can be
used to better visualize the inside of 3D images and anatomical structure from
different view .Since CT scan offer isotropic resolution, a very high quality
multiplanar images can be achieved which one of particular benefit in CT
angiography. One of the advantages of MPR is that, it was easy to be done and
much faster. It provide images that fulfilled with all complete available
information without any altered and excluded density value (HU) .Plus, it very
useful in providing and delineating about the morphology of plaque on blood
vessels and its effect to the lumen and wall of vessels. For vascular imaging
purposes, instead of using MPR, a curved-planar reformatting (CPR) is
performed. This technique allows for bend and curved vessel to be straightened
up so that the entire length of blood vessel can be seen on one image without
losing any view from a certain or single structure. This method also help to
display tubular structure by generating into a longitudinal cross-sections form
in order to better visualize the lumens, wall and the surrounding tissue. Next,
comparing to volume rendering technique (VRT), it is used to display 2D image
from a 3D images. It was reconstructed in continuous function from discrete
data set acquired. It will be then be projected into desired plane or view.
This technique surely involves certain steps to accomplish the image formation.
It included the usage of RGBA (red ,green, blue and alpha) with transferring
method that precisely define the RGBA value in every voxel of 3D images. This
RGBA formation acquired from the data set is being partition into their own
characteristic, where R, G and B represent color component, while A represent
opacity. As the opacity is 0,it means that the image was totally transparent,
while as it reach 1,carry the understanding that image was totally opaque. By
mapping the corresponding data value accordingly to opaque and transparent value,
with almost all data mapped into opacity of value 1, isosurfaces formation
generated. The surfaces appearances of the structure on the image can be
improved through shading technique. This volume rendering technique really give
a huge advantage that the interior structure of the image, the information
wouldn’t be neglect, thus it helps in enable to looks at the 3D image through a
whole entire volume .Besides, it also helpful to overcome problems in
accurately present the surfaces through isosurfaces technique.