𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Simultaneous acquisition of multiple resolution images for dynamic contrast enhanced imaging of the breast

✍ Scribed by Hee Kwon Song; Lawrence Dougherty; Mitchell D. Schnall

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
269 KB
Volume
46
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

An imaging technique is described that allows the reconstruction of a series of images at high temporal rates, while simultaneously providing images at high spatial resolution. The method allows one to arbitrarily choose from among several combinations of temporal/spatial resolutions during postprocessing. This flexibility is accomplished by strategically interleaving multiple undersampled projection reconstruction datasets (or subapertures), in which each set can be used to reconstruct a high temporal resolution image. Images with increasingly higher spatial resolutions can subsequently be formed by combining two or more subaperture datasets. The technique is demonstrated in vivo to assess the kinetics of contrast enhancement and to visualize the architectural features of suspicious breast lesions. Magn Reson Med 46:503–509, 2001. © 2001 Wiley‐Liss, Inc.

📜 SIMILAR VOLUMES

Enhanced mass on contrast-enhanced breas
Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images
✍ Hidetake Yabuuchi; Yoshio Matsuo; Takashi Okafuji; Takeshi Kamitani; Hiroyasu So 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 282 KB

## Abstract ## Purpose To evaluate the diagnostic accuracy of a combination of dynamic contrast‐enhanced MR imaging (DCE‐MRI) and diffusion‐weighted MR imaging (DWI) in characterization of enhanced mass on breast MR imaging and to find the strongest discriminators between carcinoma and benignancy.

Robust segmentation of mass-lesions in c
Robust segmentation of mass-lesions in contrast-enhanced dynamic breast MR images
✍ Lina A. Meinel; Thomas Buelow; Dezheng Huo; Akiko Shimauchi; Ursula Kose; Johann 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 475 KB 👁 1 views

## Abstract ## Purpose: To develop and evaluate a computerized segmentation method for breast MRI (BMRI) mass‐lesions. ## Materials and Methods: A computerized segmentation algorithm was developed to segment mass‐like‐lesions on breast MRI. The segmentation algorithm involved: (i) interactive le

Textural analysis of contrast-enhanced M
Textural analysis of contrast-enhanced MR images of the breast
✍ Peter Gibbs; Lindsay W. Turnbull 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 113 KB 👁 1 views

## Abstract Texture analysis was applied to high‐resolution, contrast‐enhanced (CE) images of the breast to provide a method of lesion discrimination. Significant differences were seen between benign and malignant lesions for a number of textural features, including entropy and sum entropy. Using l

Analysis of contrast-enhanced dynamic MR
Analysis of contrast-enhanced dynamic MR images of the lung
✍ Geir Torheim; Tore Amundsen; Peter A. Rinck; Olav Haraldseth; Giovanni Sebastian 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 400 KB 👁 1 views

## Abstract Recent studies have demonstrated the potential of dynamic contrast‐enhanced magnetic resonance imaging (MRI) describing pulmonary perfusion. However, breathing motion, susceptibility artifacts, and a low signal‐to‐noise ratio (SNR) make automatic pixel‐by‐pixel analysis difficult. In th

A new steady-state imaging sequence for
A new steady-state imaging sequence for simultaneous acquisition of two MR images with clearly different contrasts
✍ H. Bruder; H. Fischer; R. Graumann; M. Deimling 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 423 KB

We present a new steady-state imaging sequence, which simultaneously allows in a single acquisition the formation of two MR images with clearly different contrasts. The contrast of the first image is FISP-like, whereas the second image is strongly T2-weighted. In principle the T2 values in the image