cardiovascular imaging

Phenotypic differences in Obese Patients with Heart Failure with Preserved Ejection Fraction (HFpEF) - A Mini Review

  • Michelle Nanni*, Vivian Hu, Swagata Patnaik, Alejandro Folch Sandoval and Johanna Contreras

Published on: 24th January, 2024

The incidence of heart failure with preserved ejection fraction (HFpEF) continues to rise, and obesity continues to be a predominant comorbid condition affecting patients with HFpEF. Recent research sheds light on the important pathophysiologic role that obesity plays in the development of HFpEF, with many areas of opportunity existing for future developments in understanding the etiology and management of the disease. Crucial in these pathophysiologic developments are studies that clearly characterize the obesity phenotype in HFpEF and compare it to presentations of HFpEF in patients without obesity. This paper reviews the existing literature on the obesity phenotype within HFpEF and discusses some of the prevailing ideas behind the pathophysiologic interplay between the conditions, as well as the existing treatments demonstrating improved outcomes in HFpEF.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat
AbstractDOI: 10.29328/journal.niogb.1001020Read Full Article HTMLRead Full Article PDF

Survey of Advanced Image Fusion Techniques for Enhanced Visualization in Cardiovascular Diagnosis and Treatment

  • Gargi J Trivedi*

Published on: 6th March, 2025

Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat
AbstractDOI: 10.29328/journal.jcmei.1001034Read Full Article HTMLRead Full Article PDF

Search by University/Institution

Enter your University/Institution to find colleagues at HSPI.

Ensuring author's satisfaction with

  • Friendly and hassle-free publication process
  • Less production time of articles
  • Constructive peer-review
  • Enhancing journal reputation
  • Regular feedback system
  • Quick response to authors' queries

Read More

Most Viewed Keywords

All Issues in 2025

Search Articles by Country

Get all latest articles in all Heighten Science Publications Inc journals by country.

Testmonials

I do appreciate for your service including submission, analysis, review, editorial and publishing process. I believe these esteemed journal enlighten the science with its high-quality personel.

Bora Uysal

The editorial process was quickly done. The galley proof was sent within a week after being accepted for publication. The editorial team was very helpful and responded promptly.

India

Rohit Kulshrestha

Thank you very much for your support and encouragement. I am truly impressed by your tolerance and support. Thank you very much

Diaverum: PADC, Jeddah, Saudi Arabia

Nasrulla Abutaleb

We appreciate your approach to scholars and will encourage you to collaborate with your organization, which includes interesting and different medical journals. With the best wishes of success, creat...

Ivano- Frankivsk National Medical University, Ukra...

Nataliya Kitsera

I am glad to submit the article to Heighten Science Publications as it has a very smooth and fast peer-review process, which enables the researchers to communicate their work on time.

Anupam M

I think that Heighpubs very good. You are very helpful. Thank you for everything.

Ana Ribeiro

I really liked the ease of submitting my manuscript in the HSPI journal. Further, the peer review was timely completed and I was communicated the final decision on my manuscript within 10 days of subm...

Abu Bashar

Thank you and your company for effective support of authors which are very much dependable on the funds gambling for science in the different countries of our huge and unpredictable world. We are doin...

Russia

Victor V Apollonov

''Co-operation of Archives of Surgery and Clinical Research journal is appreciable. I'm impressed at the promptness of the publishing staff and the professionalism displayed. Thank you very much for y...

Anıl Gokce

I wanna to thank clinical journal of nursing care and practice for its effort to review and publish my manuscript. This is reputable journal. Thank you!

Wollo University, Ethiopia

Atsedemariam Andualem

View More

Browse by Subjects

Biology Group Journals

Chemistry Group Journals

Clinical Group Journals

Engineering Group Journals

Medical Group Journals

Pharma Group Journals

Help ?

HSPI: We're glad you're here. Please click "create a new Query" if you are a new visitor to our website and need further information from us.

If you are already a member of our network and need to keep track of any developments regarding a question you have already submitted, click "take me to my Query."