Your browser doesn't support javascript.
loading
Revised motion estimation algorithm for PROPELLER MRI.
Pipe, James G; Gibbs, Wende N; Li, Zhiqiang; Karis, John P; Schar, Michael; Zwart, Nicholas R.
Afiliação
  • Pipe JG; Barrow Neurological Institute, Phoenix, Arizona, USA.
Magn Reson Med ; 72(2): 430-7, 2014 Aug.
Article em En | MEDLINE | ID: mdl-24006354
ABSTRACT

PURPOSE:

To introduce a new algorithm for estimating data shifts (used for both rotation and translation estimates) for motion-corrected PROPELLER MRI. The method estimates shifts for all blades jointly, emphasizing blade-pair correlations that are both strong and more robust to noise. THEORY AND

METHODS:

The heads of three volunteers were scanned using a PROPELLER acquisition while they exhibited various amounts of motion. All data were reconstructed twice, using motion estimates from the original and new algorithm. Two radiologists independently and blindly compared 216 image pairs from these scans, ranking the left image as substantially better or worse than, slightly better or worse than, or equivalent to the right image.

RESULTS:

In the aggregate of 432 scores, the new method was judged substantially better than the old method 11 times, and was never judged substantially worse.

CONCLUSION:

The new algorithm compared favorably with the old in its ability to estimate bulk motion in a limited study of volunteer motion. A larger study of patients is planned for future work.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Encéfalo / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Artefatos / Movimento (Física) Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Encéfalo / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Artefatos / Movimento (Física) Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article