𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Automatic segmentation of gadolinium-enhanced multiple sclerosis lesions

✍ Scribed by Barry J. Bedell; Ponnada A. Narayana

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
735 KB
Volume
39
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Automatic detection and quantitation of contrast‐enhanced lesions on MRI is expected to be useful in characterizing the disease state in multiple sclerosis (MS). The enhancing structures such as cerebral vasculature and regions with no blood‐brain barrier complicate automated analysis of lesion enhancement. A pulse sequence that incorporates both stationary and marching saturation bands and gradient dephasing is described for suppressing the enhancements within the cerebral vasculature. A postprocessing technique based on automatic image segmentation is implemented for eliminating enhancing structures such as choroid plexus. All MS lesions larger than 5 mm^3^ have been successfully identified. The automated analysis produced no false‐positives or false‐negative lesions above this volume in 13 patients with MS who were evaluated using the acquisition and evaluation techniques described.

📜 SIMILAR VOLUMES

Segmentation of gadolinium-enhanced lesi
Segmentation of gadolinium-enhanced lesions on MRI in multiple sclerosis
✍ Sushmita Datta; Balasrinivasa Rao Sajja; Renjie He; Rakesh K. Gupta; Jerry S. Wo 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 307 KB

## Abstract ## Purpose To develop and implement a method for identification and quantification of gadolinium (Gd) enhancements with minimal human intervention. ## Materials and Methods Dual fast spin echo (FSE), fluid attenuation inversion recovery (FLAIR), and pre‐ and postcontrast T1‐weighted

A pyramidal approach for automatic segme
A pyramidal approach for automatic segmentation of multiple sclerosis lesions in brain MRI
✍ C. Pachai; Y.M. Zhu; J. Grimaud; M. Hermier; A. Dromigny-Badin; A. Boudraa; G. G 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 631 KB

Quantitative assessment of Magnetic Resonance Imaging (MRI) lesion load of patients with multiple sclerosis (MS) is the most objective approach for a better understanding of the history of the pathology, either natural or modi®ed by therapies. To achieve an accurate and reproducible quanti®cation of