Search and retrieval of medical images for improved diagnosis of neurodegenerative diseases

Ahmet Ekin; Radu Jasinschi; Erman Turan; Rene Engbers; Jeroen van der Grond; Mark A. van Buchem

doi:10.1117/12.708590

29 January 2007 Search and retrieval of medical images for improved diagnosis of neurodegenerative diseases

Ahmet Ekin, Radu Jasinschi, Erman Turan, Rene Engbers, Jeroen van der Grond, Mark A. van Buchem

Proceedings Volume 6506, Multimedia Content Access: Algorithms and Systems; 650604 (2007) https://doi.org/10.1117/12.708590
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

In the medical world, the accuracy of diagnosis is mainly affected by either lack of sufficient understanding of some diseases or the inter-, and/or intra-observer variability of the diagnoses. The former requires understanding the progress of diseases at much earlier stages, extraction of important information from ever growing amounts of data, and finally finding correlations with certain features and complications that will illuminate the disease progression. The latter (inter-, and intra- observer variability) is caused by the differences in the experience levels of different medical experts (inter-observer variability) or by mental and physical tiredness of one expert (intra-observer variability). We believe that the use of large databases can help improve the current status of disease understanding and decision making. By comparing large number of patients, some of the otherwise hidden relations can be revealed that results in better understanding, patients with similar complications can be found, the diagnosis and treatment can be compared so that the medical expert can make a better diagnosis. To this effect, this paper introduces a search and retrieval system for brain MR databases and shows that brain iron accumulation shape provides additional information to the shape-insensitive features, such as the total brain iron load, that are commonly used in the clinics. We propose to use Kendall's correlation value to automatically compare various returns to a query. We also describe a fully automated and fast brain MR image analysis system to detect degenerative iron accumulation in brain, as it is the case in Alzheimer's and Parkinson's. The system is composed of several novel image processing algorithms and has been extensively tested in Leiden University Medical Center over so far more than 600 patients.

Citation Download Citation

Ahmet Ekin, Radu Jasinschi, Erman Turan, Rene Engbers, Jeroen van der Grond, and Mark A. van Buchem "Search and retrieval of medical images for improved diagnosis of neurodegenerative diseases", Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 650604 (29 January 2007); https://doi.org/10.1117/12.708590

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available