Literature DB >> 10168884

Assessment of trabecular structure using high resolution magnetic resonance imaging.

S Majumdar1, H K Genant.   

Abstract

Although bone mineral density is one of the most important contributing factors to bone strength and risk of fracture, studies have shown that changes in bone quality and structure independent of bone mineral density, influence both bone strength and individual risk of fracture. The influence of these other factors is thought to explain at least partially the observed overlap in bone mineral measurements between patients with and without osteoporotic fractures, irrespective of measurement site or technique. Thus, several new emerging techniques have been aimed at quantifying trabecular bone structure in addition to bone density. With recent hardware and software advances magnetic resonance (MR) images with spatial resolutions of 80-150 microns and slice thickness of 300-700 microns which resolve the trabecular structure have been obtained both in vitro and in vivo. Both modified spin-echo and gradient echo based imaging sequences have been used to obtain these images, and although the technical parameters and the sequence specific mechanisms affect the depiction of trabecular bone. In conjunction with three dimensional image processing and an understanding of the mechanisms of image formation, these high resolution images may be used to quantify trabecular bone architecture. In addition to obtaining standard stereological measures such as trabecular bone volume, mean trabecular width, mean trabecular spacing, mean intercept length as a function of angle, parameters such as three dimensional connectivity as measured by the Euler number, fabric tensor in three dimensions and texture related parameters such as fractal dimension may be derived from such images. Quantitative measures of trabecular architecture derived from such images have been compared with those obtained from higher resolution 18 microns images, and with biomechanical properties. In vivo studies in the radius and calcaneus have been performed and differences between osteoporotic and normal subjects are distinguishable. Thus, MR imaging techniques coupled with computerized image analysis may potentially be very useful for studying osteoporosis and quantifying trabecular bone architecture and may provide information in addition to bone density.

Entities:  

Mesh:

Year:  1997        PMID: 10168884

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  12 in total

1.  Feasibility of in vivo structural analysis of high-resolution magnetic resonance images of the proximal femur.

Authors:  Roland Krug; S Banerjee; E T Han; D C Newitt; T M Link; S Majumdar
Journal:  Osteoporos Int       Date:  2005-07-06       Impact factor: 4.507

2.  Trabecular bone structure analysis in the osteoporotic spine using a clinical in vivo setup for 64-slice MDCT imaging: comparison to microCT imaging and microFE modeling.

Authors:  Ahi S Issever; Thomas M Link; Marie Kentenich; Patrik Rogalla; Karsten Schwieger; Markus B Huber; Andrew J Burghardt; Sharmila Majumdar; Gerd Diederichs
Journal:  J Bone Miner Res       Date:  2009-09       Impact factor: 6.741

3.  Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters.

Authors:  Janet Blumenfeld; Colin Studholme; Julio Carballido-Gamio; Dana Carpenter; Thomas M Link; Sharmila Majumdar
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

4.  Fast prospective registration of in vivo MR images of trabecular bone microstructure in longitudinal studies.

Authors:  Chamith S Rajapakse; Jeremy F Magland; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

5.  Adaptation of the proximal humerus to physical activity: A within-subject controlled study in baseball players.

Authors:  Stuart J Warden; Julio Carballido-Gamio; Keith G Avin; Mariana E Kersh; Robyn K Fuchs; Roland Krug; Ryan J Bice
Journal:  Bone       Date:  2019-01-08       Impact factor: 4.398

6.  Assessment of trabecular bone structure comparing magnetic resonance imaging at 3 Tesla with high-resolution peripheral quantitative computed tomography ex vivo and in vivo.

Authors:  R Krug; J Carballido-Gamio; A J Burghardt; G Kazakia; B H Hyun; B Jobke; S Banerjee; M Huber; T M Link; S Majumdar
Journal:  Osteoporos Int       Date:  2007-11-09       Impact factor: 4.507

7.  Assessment of trabecular bone structure using MDCT: comparison of 64- and 320-slice CT using HR-pQCT as the reference standard.

Authors:  Ahi S Issever; Thomas M Link; Marie Kentenich; Patrik Rogalla; Andrew J Burghardt; Galateia J Kazakia; Sharmila Majumdar; Gerd Diederichs
Journal:  Eur Radiol       Date:  2009-08-27       Impact factor: 5.315

8.  Reproducibility of the quantitative assessment of cartilage morphology and trabecular bone structure with magnetic resonance imaging at 7 T.

Authors:  Jin Zuo; Radu Bolbos; Kate Hammond; Xiaojuan Li; Sharmila Majumdar
Journal:  Magn Reson Imaging       Date:  2007-12-03       Impact factor: 2.546

9.  Geodesic topological analysis of trabecular bone microarchitecture from high-spatial resolution magnetic resonance images.

Authors:  Julio Carballido-Gamio; Roland Krug; Markus B Huber; Ben Hyun; Felix Eckstein; Sharmila Majumdar; Thomas M Link
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

10.  Trabecular bone microstructure is impaired in the proximal femur of human immunodeficiency virus-infected men with normal bone mineral density.

Authors:  Galateia J Kazakia; Julio Carballido-Gamio; Andrew Lai; Lorenzo Nardo; Luca Facchetti; Courtney Pasco; Chiyuan A Zhang; Misung Han; Amanda Hutton Parrott; Phyllis Tien; Roland Krug
Journal:  Quant Imaging Med Surg       Date:  2018-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.