Dear Colleagues,

It is well known that hemodynamics interactions play an important role in initiation and progression of cardiovascular diseases. Traditionally, patient-specific hemodynamic analysis has been conducted using computational fluid dynamics (CFD). However, the fidelity of this approach is severely limited by modeling assumptions and the uncertainty in inputs such as boundary conditions, vascular geometry, and model parameters. Recently, there have been significant advancements in methods including 4D-flow MRI, ultrasound vector flow imaging, diffuse optical spectroscopy, and 4D-CT to non-invasively image in vivo flows in the human vascular system. While imaging techniques are not limited by the aforementioned modeling issues, they suffer from issues such as imaging artifacts, low SNR, and low spatiotemporal resolution. A number of recent publications have explored techniques such as Kalman filtering, deep learning, and variational data assimilation to address the limitations of flow imaging by incorporating flow physics. In vivo flow image enhancement is a promising research area that will lead to diagnostic clinical tools for patient-specific diagnosis and prognosis of cardiovascular diseases.

This Special Issue will focus on state-of-the art methods for spatiotemporal image enhancement of medical flow images and consider methods for analysis of imaging data, including computation of relevant hemodynamic metrics. Topics include but are not limited to:

1. Novel hemodynamic imaging modalities;
2. Algorithms for spatiotemporal image enhancement;
3. Error and uncertainty quantification of flow velocities and flow-velocity-derived metrics;
4. Verification and validation of flow image enhancement;
5. Image-based hemodynamic analysis metrics;
6. Generating synthetic imaging data through simulation of flow and imaging modalities.

Dr. Roshan M. D’Souza
Dr. Isaac Bernabe Perez Raya
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• 4D-flow MRI
• 4D-CT
• doppler ultrasound
• hemodynamics
• deep learning
• physics-informed neural nets