MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee

The overall goal of this project is to develop an application to quantify the level of synovial inflammation within patients suffering from Rheumatoid or Psoriatic Arthritis, based on automated synoviumsegmentation and 3D visualisation of MRI scan data. This paper discusses the direction we have taken during the development of the visualization components of the application, and an overview of the project in general. Current software methods of quantifying enhancement of inflamed synovial tissue by gadolinium contrast have several limitations. The clinician is required to classify individual regions of interest on a slice by slice basis which is a time-consuming process and suffers from user subjectivity. We propose a method of automating this process by reconstructing the slice information and performing quantification in three dimensions.

[1]  A. Giovagnoni,et al.  MRI of the hand in psoriatic and rheumatical arthritis , 1995, European Radiology.

[2]  Patrick C. Brennan,et al.  A Topological Approach to Quantitation of Rheumatoid Arthritis , 2008, Visualization in Medicine and Life Sciences.

[3]  M. Østergaard,et al.  Finger joint synovitis in rheumatoid arthritis: quantitative assessment by magnetic resonance imaging. , 1999, Rheumatology.

[4]  G. Alarcón,et al.  MR imaging of the hands in early rheumatoid arthritis: preliminary results. , 1993, Radiographics : a review publication of the Radiological Society of North America, Inc.

[5]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[6]  J. Ridgway,et al.  Intra-articular primatised anti-CD4: efficacy in resistant rheumatoid knees. A study of combined arthroscopy, magnetic resonance imaging, and histology , 1999, Annals of the rheumatic diseases.

[7]  Hamish A. Carr,et al.  Accelerating marching cubes with graphics hardware , 2006, CASCON.

[8]  Roberto Scopigno,et al.  A modified look-up table for implicit disambiguation of Marching Cubes , 1994, The Visual Computer.

[9]  E LorensenWilliam,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987 .

[10]  D. Blake,et al.  Quantitative assessment of the rheumatoid synovial microvascular bed by gadolinium-DTPA enhanced magnetic resonance imaging , 1998, Annals of the rheumatic diseases.

[11]  Marc Levoy,et al.  Display of surfaces from volume data , 1988, IEEE Computer Graphics and Applications.

[12]  M. Levoy,et al.  Fast volume rendering using a shear-warp factorization of the viewing transformation , 1994, SIGGRAPH.

[13]  Sarah Gibson Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data , 1998 .