Automated Analysis of Cartilage Thickness and Tissue Quality from MRI
Lead Research Organisation:
University of Manchester
Department Name: Medical and Human Sciences
Abstract
Osteoarthritis (OA) is a major cause of disability and reduced quality of life. It is associated with degenerative changes in the bone and cartilage of articulating joints (particularly the knee), leading to pain and disability. The disease is extremely variable, with some patients deteriorating extremely rapidly, whilst others progress slowly over many years. There are currently no particularly effective treatments for the disease, but more effective therapies are on the horizon - particularly drugs that target cartilage or bone degeneration. Clinical indicators of disease progression, such as pain and disability, are subjective and non-specific, leading to long and expensive clinical trials, which may ultimately prove inconclusive. There is thus a pressing need for quantitative biomarkers (measures of disease progression) to support decision making in OA drug development. The availability of effective but expensive drugs for OA will also create a need for methods to identify those patients who would most benefit from treatment, leading to more cost-effective deployment. The aim of the project is to develop technology to provide biomarkers for OA, through automated analysis of 3D magnetic resonance images (MRI) of the knee. This will build on feasibility work previously undertaken by members of the consortium. The specific objectives are to: 1. Extract the structure of bone and cartilage from MRI of the knee automatically - enabling computerised measurement of cartilage and bone morphology; 2. Develop methods for measuring cartilage and bone quality from the images - enabling early detection of degenerative disease; 3. Adapt existing methods for obtaining anatomically consistent maps of cartilage thickness and quality - enabling direct comparison and statistical analysis of maps from different subjects; 4. Develop statistical methods for detecting subtle but consistent patterns of change in these maps - providing insight into the disease process and a sensitive means of detecting progression in cohorts of patients; 5. Integrate the methods to create a technology demonstrator - providing a test-bed for the technology; 6. Validate the approach using data from large-scale OA imaging studies.
Organisations
Publications
Balamoody S
(2010)
Comparison of 3T MR scanners in regional cartilage-thickness analysis in osteoarthritis: a cross-sectional multicenter, multivendor study.
in Arthritis research & therapy
Balamoody S
(2013)
Magnetic resonance transverse relaxation time T2 of knee cartilage in osteoarthritis at 3-T: a cross-sectional multicentre, multivendor reproducibility study.
in Skeletal radiology
Cootes TF
(2010)
Computing accurate correspondences across groups of images.
in IEEE transactions on pattern analysis and machine intelligence
Williams TG
(2010)
Anatomically corresponded regional analysis of cartilage in asymptomatic and osteoarthritic knees by statistical shape modelling of the bone.
in IEEE transactions on medical imaging
Williams TG
(2010)
Measurement and visualisation of focal cartilage thickness change by MRI in a study of knee osteoarthritis using a novel image analysis tool.
in The British journal of radiology
Description | The project developed computer algorithms for automatically matching (corresponding) and delineating (segmenting) anatomical structures in 3D magnetic resonance scans of the knee in patients with osteoarthritis, allowing comparison of cartilage thickness at equivalent anatomical locations in different patients and in the same patient over time. This allows the study of patterns of disease progression over a population of patients, as a basis for monitoring the effects of treatment. |
Exploitation Route | They are being commercialised through spin-out imorphics, and have made an influential contribution to the literature on model-based image analysis |
Sectors | Digital/Communication/Information Technologies (including Software),Healthcare,Pharmaceuticals and Medical Biotechnology |
URL | http://imorphics.com/ |
Description | The findings made a significant contribution to the core technology of spin-out imorphics, and was validated for use in drug trials by AstraZeneca. It has subsequently been used by imorphics in multiple drug trials for major pharmaceutical companies, in both osteo- and rheumatoid arthritis. The technology has also proved valuable more generally in orthopaedics, leading to the multi-million pound purchase of imorphics by a major orthopaedics company. |
First Year Of Impact | 2010 |
Sector | Digital/Communication/Information Technologies (including Software),Healthcare,Pharmaceuticals and Medical Biotechnology |
Impact Types | Economic |