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Automatic prospective registration of high-resolution trabecular bone images of the tibia.

Automatic prospective registration of high-resolution trabecular bone images of the tibia. Research Abstract Details 

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  • Automatic prospective registration of high-resolution trabecular bone images of the tibia. Abstract Text:

    janet blumenfeldJanet Blumenfeld,julio carballido-gamioJulio Carballido-Gamio,roland krugRoland Krug,daniel j blezekDaniel J Blezek,ileana hancuIleana Hancu,sharmila majumdarSharmila Majumdar,janet blumenfeldJanet Blumenfeld,julio carballido-gamioJulio Carballido-Gamio,roland krugRoland Krug,daniel j blezekDaniel J Blezek,ileana hancuIleana Hancu,sharmila majumdarSharmila Majumdar,

    Magnetic Resonance Imaging (MRI) longitudinal studies conducted to assess changes in tibia bone quality impose strict requirements on the reproducibility of the prescribed region acquired. Registration, the process of aligning two images, is commonly performed on the images after acquisition. However, techniques to improve image registration precision by adjusting scanning parameters prospectively, prior to image acquisition, would be preferred. We have adapted an automatic prospective mutual information based registration algorithm to a MRI longitudinal study of trabecular bone of the tibia and compared it to a post-scan manual registration. Qualitatively, image alignment due to the prospective registration is shown in 2D subtraction images and 3D surface renderings. Quantitatively, the registration performance is demonstrated by calculating the sum of the squares of the subtraction images. Results show that the sum of the squares is lower for the follow up images with prospective registration by an average of 19.37% +/- 0.07 compared to follow up images with post-scan manual registration. Our study found no significant difference between the trabecular bone structure parameters calculated from the post-scan manual registration and the prospective registration images (p > 0.05). All coefficient of variation values for all trabecular bone structure parameters were within a 2-4.5% range which are within values previously reported in the literature. Results suggest that this algorithm is robust enough to be used in different musculoskeletal imaging applications including the hip as well as the tibia.

    Automatic prospective registration of high-resolution trabecular bone images of the tibia. Publishing Authors By Initials

    j blumenfeldJ Blumenfeld,j carballido-gamioJ Carballido-Gamio,r krugR Krug,dj blezekDJ Blezek,i hancuI Hancu,s majumdarS Majumdar,j blumenfeldJ Blumenfeld,j carballido-gamioJ Carballido-Gamio,r krugR Krug,dj blezekDJ Blezek,i hancuI Hancu,s majumdarS Majumdar,

    For similar abstracts research abstracts see: abstracts research

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    Automatic prospective registration of high-resolution trabecular bone images of the tibia. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Annals of biomedical engineering

    VOLUME: 35

    Page Numbers: 1924-31

    Journal Abbreviation:

    ISSN: 0090-6964

    DAY: 17

    MONTH: 08

    YEAR: 2007

    Automatic prospective registration of high-resolution trabecular bone images of the tibia. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 361512

    Automatic prospective registration of high-resolution trabecular bone images of the tibia. Keywords Mesh Terms:

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    Grant and Affiliation Information for Automatic prospective registration of high-resolution trabecular bone images of the tibia.

    AFFILIATION: Department of Radiology, University of California, 1700 4th St., Suite 203, Box 2520, San Francisco, CA 94107, USA. janet.blumenfeld@ucsf.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIAMS

    GRANT: R01-AR49701

    ACRONYM: AR

    MEDLINETA: Ann Biomed Eng

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