DocumentCode
941843
Title
Is there functional vascular information in anatomical MR Sequences? A preliminary in vivo study
Author
Winzenrieth, Renaud ; Claude, Isabelle ; Hobatho, Marie-Christine ; Sebag, Guy
Author_Institution
UMR CNRS, Univ. de Technol. de Compiegne, France
Volume
53
Issue
6
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
1190
Lastpage
1195
Abstract
According to the type of sequences used, either morphological or dynamic functional study can be performed using magnetic resonance imaging (MRI). The aim of this study is to find out if vascular information found, in dynamic MR sequences, already exists in anatomical MR sequences in the particular case of Legg-Calve-Perthes disease (LCPD). LCPD is due to a loss of circulation to the femoral head in a growing child resulting in avascular necrosis and leading to possible distortion of size and shape of the proximal femur. MRI acquisitions consist in performing two anatomical sequences and one dynamic sequence with a gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) injection. Five new parametric images characterizing hyper- and hypo-vascularized areas are computed from the dynamic MR sequence. For each new image, the two corresponding anatomical images are found and registered. Then, four types of regions of interest (ROIs) are extracted: healthy hyper- and hypo-vascularized areas and pathological hyper- and hypo-vascularized areas. First-order statistical parameters and texture parameters (Haralick´s method, run length method, fractal parameters, autoregressive factors and Laws´ texture energy method) are computed in each ROI. Then, a statistical study based on a T test is performed. Results show that some parameters could discriminate the four ROI types. Hence, dynamic vascular image and intrinsic anatomical image characteristics seem to be correlated. Finally, the disease can be evaluated with objective parameters using only anatomical sequences.
Keywords
autoregressive processes; biomedical MRI; bone; diseases; fractals; image registration; image sequences; image texture; medical image processing; paediatrics; statistical analysis; Haralick method; Laws texture energy method; Legg-Calve-Perthes disease; T test; anatomical MR sequences; autoregressive factors; avascular necrosis; circulation; dynamic functional study; dynamic vascular image characteristics; femoral head; first-order statistical parameters; fractal parameters; functional vascular information; gadolinium-diethylenetriamine pentaacetic acid injection.; growing child; hypervascularized areas; hypovascularized areas; intrinsic anatomical image characteristics; magnetic resonance imaging; morphological functional study; proximal femur distortion; run length method; texture parameters; Biomedical imaging; Bones; Diseases; Hip; In vivo; Ischemic pain; Joints; Magnetic heads; Magnetic resonance imaging; Optical imaging; Image texture analysis; Legg-CalvÉ-Perthe disease; magnetic resonance imaging; vascular imaging; Child; Child, Preschool; Feasibility Studies; Femur Head; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Legg-Perthes Disease; Magnetic Resonance Imaging; Subtraction Technique;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2006.873552
Filename
1634514
Link To Document