✦ LIBER ✦

Multivariate Image Analysis of Magnetic Resonance Images with the Direct Exponential Curve Resolution Algorithm (DECRA): Part 2: Application to Human Brain Images

✍ Scribed by B. Antalek; J.P. Hornak; W. Windig

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 302 KB
Volume: 132
Category: Article
ISSN: 1090-7807
DOI: 10.1006/jmre.1998.1391

No coin nor oath required. For personal study only.

✦ Synopsis

Owing to the heterogeneity of living tissues, it is challenging to quantify tissue properties using magnetic resonance imaging. Within a single voxel, contributions to the signal may result from several types of 1H nuclei with varied chemical (e.g., -CH2-, -OH) and physical environments (e.g., tissue density, compartmentalization). Therefore, mixtures of 1H environments are prevalent. Furthermore, each unique type of 1H environment may possess a unique and characteristic spin-lattice relaxation time (T1) and spin-spin relaxation time (T2). A method for resolving these unique exponentials is introduced in a separate paper (Part 1. Algorithm and Model System) and uses the direct exponential curve resolution algorithm (DECRA). We present results from an analysis of images of the human head comprising brain tissues.

📜 SIMILAR VOLUMES

Multivariate Image Analysis of Magnetic

Multivariate Image Analysis of Magnetic Resonance Images with the Direct Exponential Curve Resolution Algorithm (DECRA): Part 1: Algorithm and Model Study

✍ W. Windig; J.P. Hornak; B. Antalek 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 209 KB

Antalek and Windig recently presented a fast method to resolve a series of NMR mixture spectra, where the contribution of the components varies with a decaying exponential [B. Antalek and W. Windig, J. Am. Chem. Soc. 118, 10,331-10,332 (1996); W. Windig and B. Antalek, Chemom. Intell. Lab. Syst. 37,

Applications and new developments of the

Applications and new developments of the direct exponential curve resolution algorithm (DECRA). Examples of spectra and magnetic resonance images

✍ Willem Windig; Brian Antalek; Louis J. Sorriero; Sabina Bijlsma; D. J. Louwerse 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 340 KB 👁 2 views

Recently, a new multivariate analysis tool was developed to resolve mixture data sets, where the contributions ('concentrations') have an exponential profile. The new approach is called DECRA (direct exponential curve resolution algorithm). DECRA is based on the generalized rank annihilation method