Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms: A Convex Optimization Approach: 9 (Springer Series on Bio- and Neurosystems, 9) - Image 1

£85.63

Springer Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms: A Convex Optimization Approach: 9 (Springer Series on Bio- and Neurosystems, 9)

Name: Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms: A Convex Optimization Approach: 9 (Springer Series on Bio- and Neurosystems, 9)
Brand: Springer
Price: 85.63 GBP
Availability: InStock

Computer Science

This is the usual price. Wait for it to drop, or tell us your number.

£86 today · usual range £0–£0 · best ever £80

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 433 days • 433 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 433 days • 7 price levels

Days at Price

Current Price

Price Analysis

Most common price: £84 (121 days, 27.9%)

Price range: £80 - £90

Price levels: 7 different prices over 433 days

Description

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need forthe CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio- and Neuro-informatics applications.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 9811335966
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 12 January 2019
Listed Since: 31 October 2018

Barcode

No barcode data available

Springer Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms: A Convex Optimization Approach: 9 (Springer Series on Bio- and Neurosystems, 9)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

MRI: Essentials for Innovative Technologies

Fundamentals of MRI: An Interactive Learning Approach (Series in Medical Physics and Biomedical Engineering)

Quantitative MRI in Cancer (Imaging in Medical Diagnosis and Therapy)

The Physics and Mathematics of MRI (Iop Concise Physics)

How does MRI work?: An Introduction to the Physics and Function of Magnetic Resonance Imaging

Handbook of MRI Technique, 5th Edition

Magnetic Resonance Imaging: Physical Principles and Sequence Design

Magnetic Resonance Image Reconstruction: Theory, Methods, and Applications: Volume 7 (Advances in Magnetic Resonance Technology and Applications, Volume 7)

Magnetic Resonance Brain Imaging: Modelling and Data Analysis Using R (Use R!)

The Physics of Clinical MR Taught Through Images

Quantitative Magnetic Resonance Imaging (Volume 1) (Advances in Magnetic Resonance Technology and Applications, Volume 1)

Computational Diffusion MRI: MICCAI Workshop, Québec, Canada, September 2017 (Mathematics and Visualization)

Medical Image Processing: Techniques and Applications (Biological and Medical Physics, Biomedical Engineering)

Hyperpolarized Carbon-13 Magnetic Resonance Imaging and Spectroscopy: Volume 3 (Advances in Magnetic Resonance Technology and Applications, Volume 3)

Preclinical MRI: Methods and Protocols: 1718 (Methods in Molecular Biology, 1718)

Magnetic Resonance Imaging: Physical Principles and Applications (Electromagnetism)

Protocols and Methodologies in Basic Science and Clinical Cardiac MRI

Springer Interventional Magnetic Resonance Imaging Book

Magnetic Resonance Imaging: Mathematical Foundations and Applications

Principles of Magnetic Resonance Imaging: A Signal Processing Perspective: 4 (IEEE Press Series on Biomedical Engineering)

Impact of Molecular Biology and New Technical Developments in Diagnostic Imaging: 22 (Ernst Schering Foundation Symposium Proceedings, 22)

Imaging of the Pelvis, Musculoskeletal System, and Special Applications to CAD: Volume 3 (Magnetic Resonance Imaging Handbook)

Principles of Magnetic Resonance Imaging: Physics Concepts, Pulse Sequences, & Biomedical Applications

Fundamentals of Magnetic Resonance Imaging: with image reconstruction simulated by MATLAB