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MRI quantification of cartilage of t...

Carballido Gamio, Julio.

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MRI quantification of cartilage of the knee.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MRI quantification of cartilage of the knee./
作者:	Carballido Gamio, Julio.
面頁冊數:	75 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-06, Section: B, page: 3255.
Contained By:	Dissertation Abstracts International66-06B.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3179942
ISBN:	0542206587

MRI quantification of cartilage of the knee.
Carballido Gamio, Julio.

MRI quantification of cartilage of the knee. - 75 p.

Source: Dissertation Abstracts International, Volume: 66-06, Section: B, page: 3255.

Thesis (Ph.D.)--University of California, San Francisco with the University of California, Berkeley, 2005.

Osteoarthritis (OA) of the knee is a chronic disease that is characterized by degeneration of articular cartilage. Magnetic resonance imaging (MRI) allows the visualization and quantification of this degeneration in vivo. In this dissertation the development of new image processing techniques and application of existing ones to perform inter-subject comparison of knee cartilage thickness are presented. The main characteristic of the proposed method is the registration of cartilage surfaces based on the registration of the corresponding bones. The process is semi-automatic since steps involving segmentation require interaction. Cartilage is segmented using Bezier splines and edge detection, and its shape is then interpolated using a morphing technique to create isotropic voxels. The bones corresponding to the segmented cartilage are segmented with a similar approach and registered based on landmarks. The registration can be rigid-body for intra-subject or elastic for inter-subject comparisons. Landmarks are automatically selected based on shape matching using 3D shape-contexts. Visualization of cartilage thickness maps in three dimensions or overlaid on the MR images is also demonstrated. The cartilage segmentation and the morphing technique were validated visually and based on volumetric measurements of images of porcine knees which cartilage volumes were directly measured using a water displacement method. The registration techniques were validated visually and using manual landmark registration. Results showed a good agreement between the digital volumetric measurement from the morphed cartilage and the water displacement method with correlation values of 8.3 (p < 0.001) and 7.5 (p < 0.001) for 3T and 1.5T, respectively. Registration results also were satisfactory with minimum distances between the registered surfaces of less than the slice thickness. The conclusion was that the proposed image processing techniques were accurate and robust to perform intra-subject and inter-subject comparisons of cartilage thickness of the knee as well as digital volumetric and thickness measurements.

ISBN: 0542206587Subjects--Topical Terms:

1017684
Engineering, Biomedical.

MRI quantification of cartilage of the knee.
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502 $a Thesis (Ph.D.)--University of California, San Francisco with the University of California, Berkeley, 2005.
520 $a Osteoarthritis (OA) of the knee is a chronic disease that is characterized by degeneration of articular cartilage. Magnetic resonance imaging (MRI) allows the visualization and quantification of this degeneration in vivo. In this dissertation the development of new image processing techniques and application of existing ones to perform inter-subject comparison of knee cartilage thickness are presented. The main characteristic of the proposed method is the registration of cartilage surfaces based on the registration of the corresponding bones. The process is semi-automatic since steps involving segmentation require interaction. Cartilage is segmented using Bezier splines and edge detection, and its shape is then interpolated using a morphing technique to create isotropic voxels. The bones corresponding to the segmented cartilage are segmented with a similar approach and registered based on landmarks. The registration can be rigid-body for intra-subject or elastic for inter-subject comparisons. Landmarks are automatically selected based on shape matching using 3D shape-contexts. Visualization of cartilage thickness maps in three dimensions or overlaid on the MR images is also demonstrated. The cartilage segmentation and the morphing technique were validated visually and based on volumetric measurements of images of porcine knees which cartilage volumes were directly measured using a water displacement method. The registration techniques were validated visually and using manual landmark registration. Results showed a good agreement between the digital volumetric measurement from the morphed cartilage and the water displacement method with correlation values of 8.3 (p < 0.001) and 7.5 (p < 0.001) for 3T and 1.5T, respectively. Registration results also were satisfactory with minimum distances between the registered surfaces of less than the slice thickness. The conclusion was that the proposed image processing techniques were accurate and robust to perform intra-subject and inter-subject comparisons of cartilage thickness of the knee as well as digital volumetric and thickness measurements.
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