DocumentCode :
1830585
Title :
Texture Measure from Low Resolution MR Images to Determine Trabecular Bone Integrity in Osteoporosis
Author :
Tameem, H.Z. ; Selva, L.E. ; Sinha, U.S.
Author_Institution :
Univ. of California, Los Angeles
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
2027
Lastpage :
2030
Abstract :
Bone architectural information can be derived from structural indices calculated from high resolution magnetic resonance (MR) images. However, high resolution scans are time consuming and prone to motion artifacts and hence are not routinely feasible. The purpose of this study is to determine if a correlation exists between 3D structural indices calculated from high-resolution MR images and 3D cooccurrence texture features calculated from lower resolution MR images. Regression analysis indicates a strong correlation between the structural indices and the texture features. This study highlights the potential of using surrogate texture markers extracted from readily acquired clinical MR images to quantify bone architecture, circumventing the need for high resolution MR imaging.
Keywords :
biomedical MRI; bone; diseases; image resolution; image texture; medical image processing; orthopaedics; regression analysis; 3D structural indices calculation; bone architectural information; bone architecture quantification; clinical MR images; high resolution magnetic resonance images; image texture; low resolution MR images; motion artifacts; osteoporosis; regression analysis; trabecular bone integrity; Biomedical imaging; Biomedical informatics; Biomedical measurements; Cancellous bone; Computed tomography; High-resolution imaging; Image analysis; Image resolution; Image texture analysis; Osteoporosis; Algorithms; Bone Density; Bone and Bones; Equipment Design; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Motion; Osteoporosis; Regression Analysis; Research Design; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352717
Filename :
4352717
Link To Document :
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