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Titolo:
Pre-processed image reconstruction applied to breast and brain MR imaging
Autore:
Degenhard, A; Tanner, C; Hayes, C; Hawkes, DJ; Leach, MO;
Indirizzi:
Inst Canc Res, CRC, Clin MR Res Grp, Sutton SM2 5PT, Surrey, England Inst Canc Res Sutton Surrey England SM2 5PT tton SM2 5PT, Surrey, England Royal Marsden NHS Trust, Sutton SM2 5PT, Surrey, England Royal Marsden NHSTrust Sutton Surrey England SM2 5PT PT, Surrey, England Guys Hosp, Guys Kings & St Thomas Sch Med & Dent, Div Radiol Sci & Med Engn, London SE1 9RT, England Guys Hosp London England SE1 9RT Sci & Med Engn, London SE1 9RT, England
Titolo Testata:
PHYSIOLOGICAL MEASUREMENT
fascicolo: 3, volume: 22, anno: 2001,
pagine: 589 - 604
SICI:
0967-3334(200108)22:3<589:PIRATB>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
GD-DTPA; DIAGNOSIS; LESIONS; TUMORS;
Keywords:
contrast-enhanced magnetic resonance imaging; image reconstruction; asymmetric sampling; constrained reconstruction method; projection on convex sets;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Degenhard, A Inst Canc Res, CRC, Clin MR Res Grp, Sutton SM2 5PT, Surrey, England Inst Canc Res Sutton Surrey England SM2 5PT Surrey, England
Citazione:
A. Degenhard et al., "Pre-processed image reconstruction applied to breast and brain MR imaging", PHYSL MEAS, 22(3), 2001, pp. 589-604

Abstract

Magnetic resonance imaging (MRI) has emerged as a powerful tool in medicaldiagnosis and research. Although high spatial resolution images are essential in medical diagnosis and image analysis, high temporal resolution is equally important in applications of dynamic contrast-enhanced MRI or functional brain MRI. In particular, in breast MRI the ability to differentiate between benign and malignant lesions depends, in part, on the temporal resolution of the dynamic image acquisition. New applications of MRI such as multi-feature analysis of image time series data and full 3D functional MRI or event-related functional MRI require high spatial and high temporal resolution for accurate image analysis on a voxel-by-voxel basis. Currently available partial Fourier reconstruction techniques. which effectively improve the time resolution, suffer from a reduced signal to noise ratio in the reconstructed image, a decrease in spatial resolution or reconstruction artefacts, making numerical image analysis difficult. In this work we present an image reconstruction algorithm based on image recovery theory which effectively doubles the temporal resolution and results in an image quality sufficient for further numerical analysis. The developed algorithm requires a full Fourier space acquisition of a pre-contrast or baseline image prior to the reconstruction procedure of the time series partial Fourier data.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/01/20 alle ore 00:27:58