𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Breast Tumor Analysis in Dynamic Contrast Enhanced MRI Using Texture Features and Wavelet Transform

✍ Scribed by Jianhua Yao; Chen, J.; Chow, C.

Book ID
114571381
Publisher
Institute of Electrical and Electronics Engineers
Year
2009
Tongue
English
Weight
796 KB
Volume
3
Category
Article
ISSN
1932-4553

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Uncertainty in the analysis of tracer ki
Uncertainty in the analysis of tracer kinetics using dynamic contrast-enhanced T1-weighted MRI
✍ David L. Buckley 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 202 KB 👁 1 views

## Abstract In recent years a number of physiological models have gained prominence in the analysis of dynamic contrast‐enhanced __T__~1~‐weighted MRI data. However, there remains little evidence to support their use in estimating the absolute values of tissue physiological parameters such as perfu

Malignant-lesion segmentation using 4D c
Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data
✍ Brent J. Woods; Bradley D. Clymer; Tahsin Kurc; Johannes T. Heverhagen; Robert S 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 950 KB

## Abstract ## Purpose To investigate the use of four‐dimensional (4D) co‐occurrence‐based texture analysis to distinguish between nonmalignant and malignant tissues in dynamic contrast‐enhanced (DCE) MR images. ## Materials and Methods 4D texture analysis was performed on DCE‐MRI data sets of b

Combined use of T2-weighted MRI and T1-w
Combined use of T2-weighted MRI and T1-weighted dynamic contrast–enhanced MRI in the automated analysis of breast lesions
✍ Neha Bhooshan; Maryellen Giger; Li Lan; Hui Li; Angelica Marquez; Akiko Shimauch 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 490 KB 👁 1 views

A multiparametric computer-aided diagnosis scheme that combines information from T1-weighted dynamic contrast-enhanced (DCE)-MRI and T2-weighted MRI was investigated using a database of 110 malignant and 86 benign breast lesions. Automatic lesion segmentation was performed, and three categories of l

Semiquantitative analysis of dynamic con
Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time
✍ Milica Medved; Greg Karczmar; Cheng Yang; James Dignam; Thomas F. Gajewski; Hedy 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 191 KB

## Abstract ## Purpose To evaluate variability of a simplified method for measuring semiquantitative DCE‐MRI parameters in patients with cancer and to explore effects of treatment with a putative anti‐angiogenic compound. ## Materials and Methods A total of 19 patients enrolled on treatment tria

Improvement in breast lesion characteriz
Improvement in breast lesion characterization with dynamic contrast-enhanced MRI using pharmacokinetic modeling and bookend T1 measurements
✍ Greg O. Cron; Frederick Kelcz; Giles E. Santyr 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 185 KB

## Abstract Dynamic contrast‐enhanced breast MR imaging was performed on 14 patients (five cancerous lesions, nine benign) with slice‐selective spoiled gradient‐recalled echo (2D SPGR) imaging. Adiabatic saturation recovery __T__~1~ measurements were performed before (__T__~1pre~) and after (__T__~