02035nas a2200133   4500008004100000020001400041245010800055210006900163260001200232300001400244490000700258520159100265856004501856       2003                        eng d  a0895-611100a3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images0 a3DVIEWNIXAVS a software package for the separate visualization o  c2003///  a351 - 3620 v273 aOur earlier study developed a computerized method, based onfuzzy connected object delineation principles and algorithms, 
for artery and vein separation in contrast enhanced Magnetic 
Resonance Angiography (CE-MRA) images. This paper reports its 
current development-a software package-for routine clinical use. 
The software package, termed 3DVIEWNIX-AVS, consists of the 
following major operational parts: (1) converting data from 
DICOM3 to 3DVIEWNIX format, (2) previewing slices and creating 
VOI and MIP Shell, (3) segmenting vessel, (4) separating artery 
and vein, (5) shell rendering vascular structures and creating 
animations.This package has been applied to EPIX Medical Inc's 
CE-MRA data (AngioMark MS-325). One hundred and thirty-five 
original CE-MRA data sets (of 52 patients) from 6 hospitals have 
been processed. In all case studies, unified parameter settings 
produce correct artery-vein separation. The current package is 
running on a Pentium PC under Linux and the total computation 
time per study is about 3 min.The strengths of this software 
package are (1) minimal user interaction, (2) minimal anatomic 
knowledge requirements on human vascular system, (3) clinically 
required speed, (4) free entry to any operational stages, (5) 
reproducible, reliable, high quality of results, and (6) cost 
effective computer implementation. To date, it seems to be the 
only software package (using an image processing approach) 
available for artery and vein separation of the human vascular 
system for routine use in a clinical setting.
  uhttps://home.inf.u-szeged.hu/en/node/99901977nas a2200133   4500008004100000020001400041245008100055210006900136260001200205300001400217490000700231520155900238856004601797       2003                        eng d  a0278-006200aIncorporating a measure of local scale in voxel-based 3-D image registration0 aIncorporating a measure of local scale in voxelbased 3D image re  c2003///  a228 - 2370 v223 aWe present a new class of approaches for rigid-body registrationand their evaluation in studying multiple sclerosis (MS) via 
multiprotocol magnetic resonance imaging (MRI). Three pairs of 
rigid-body registration algorithms were implemented, using 
cross-correlation and mutual information (MI), operating on 
original gray-level images, and utilizing the intermediate 
images resulting from our new scale-based method. In the scale 
image, every voxel has the local "scale" value assigned to it, 
defined as the radius of the largest ball centered at the voxel 
with homogeneous intensities. Three-dimensional image data of 
the head were acquired from ten MS patients for each of six MRI 
protocols. Images in some of the protocols were acquired in 
registration. The registered pairs were used as ground truth. 
Accuracy and consistency of the six registration methods were 
measured within and between protocols for known amounts of 
misregistrations. Our analysis indicates that there is no "best" 
method. For medium misregistration, the method using MI, for 
small add large misregistration the method using normalized 
cross-correlation performs best. For high-resolution data the 
correlation method and for low-resolution data the MI method, 
both using the original gray-level images, are the most 
consistent. We have previously demonstrated the use of local 
scale information in fuzzy connectedness segmentation and image 
filtering. Scale may also have potential for image registration 
as suggested by this work.
  uhttps://home.inf.u-szeged.hu/en/node/100001778nas a2200109   4500008004100000245006200041210006100103260004200164300001600206520140000222856004601622       2001                        eng d00aTask-specific comparison of 3D image registration methods0 aTaskspecific comparison of 3D image registration methods  aBellingham; WashingtonbSPIEc2001///  a1588 - 15983 aWe present a new class of approaches for rigid-body registrationand their evaluation in studying Multiple Sclerosis via multi 
protocol MRI. Two pairs of rigid-body registration algorithms 
were implemented, using cross- correlation and mutual 
information, operating on original gray-level images and on the 
intermediate images resulting from our new scale-based method. 
In the scale image, every voxel has the local scale value 
assigned to it, defined as the radius of the largest sphere 
centered at the voxel with homogeneous intensities. 3D data of 
the head were acquired from 10 MS patients using 6 MRI 
protocols. Images in some of the protocols have been acquired in 
registration. The co-registered pairs were used as ground truth. 
Accuracy and consistency of the 4 registration methods were 
measured within and between protocols for known amounts of 
misregistrations. Our analysis indicates that there is no best 
method. For medium and large misregistration, methods using 
mutual information, for small misregistration, and for the 
consistency tests, correlation methods using the original gray-
level images give the best results. We have previously 
demonstrated the use of local scale information in fuzzy 
connectedness segmentation and image filtering. Scale may also 
have considerable potential for image registration as suggested 
by this work.
  uhttps://home.inf.u-szeged.hu/en/node/1015