Cardiovascular Magnetic Resonance An Issue of Heart Failure Clinics 1st Edition at Meripustak

Cardiovascular Magnetic Resonance An Issue of Heart Failure Clinics 1st Edition

Books from same Author: Raman, Subha

Books from same Publisher: Elsevier

Related Category: Author List / Publisher List


  • Retail Price: ₹ 8027/- [ 15.00% off ]

    Seller Price: ₹ 6823

Sold By: Book Upload      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 15.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 15.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Raman, Subha
    PublisherElsevier
    Edition1st Edition
    ISBN9780323711753
    Pages240
    LanguageEnglish
    Publish YearDecember 2020

    Description

    Elsevier Cardiovascular Magnetic Resonance An Issue of Heart Failure Clinics 1st Edition by Raman, Subha

    This issue of Heart Failure Clinics, guest edited by Dr. Subha V. Raman, will cover key topics in Cardiovascular Magnetic Resonance. This issue is one of four issues selected each year by our series consulting editor, Dr. Eduardo Bossone. Topics discussed in this issue will include: When to use CMR for patients with heart failure; Quantifying cardiac dysfunction with CMR; CMR in heritable cardiomyopathies; CMR in ischemic cardiomyopathy; CMR in right heart and pulmonary circulation disorders; CMR of myocardial fibrosis, edema, and infiltrates in heart failure; Magnetic resonance-based characterization of myocardial architecture; CMR in valvular heart disease-related heart failure; Pericardial disease with CMR; CMR's central role in chemotherapy-induced cardiotoxicity; Intracardiac and vascular hemodynamics with CMR in heart failure; Myocardial energetics with CMR; CMR in congenital heart disease: focus on heart failure; and Machine learning in CMR applied to heart failure.