Advances and Applications of Medical Imaging Physics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Chemical and Molecular Sciences".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 616

Special Issue Editor


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Guest Editor
1. Department of Medical Physics and Biophysics, Faculty of Medicine, University of Rijeka, Braće Branchetta 20, 51000 Rijeka, Croatia
2. Faculty of Physics, University of Rijeka, Radmile Matejčić 2, 51 000 Rijeka, Croatia
Interests: ultrasound; medical physics; nuclear medicine; medical imaging

Special Issue Information

Dear Colleagues,

Medical imaging has developed rapidly and is now a versatile tool with numerous possible applications. Imaging has experienced a quantum leap in technology and clinical applications over the last 30 years. This leap includes super-resolution ultrasound imaging, X-ray computed tomography (CT), emission computed tomography (SPECT and PET), magnetic resonance imaging (MRI), including functional MRI (fMRI), as well as combined, hybrid, or dual-imaging techniques. The application of the principles and methods of physics in medical imaging has contributed to an improvement in this field. Physics-based techniques have been progressively developed and optimized to help physicians make rapid diagnoses and establish effective treatments for various diseases. The development of medical imaging is the result of physicists collaborating with engineers and physicians. As medical imaging continues to evolve, researchers are finding ways to improve diagnosis and treatment planning. One of the most exciting areas currently being researched is the application of artificial intelligence to medical imaging, which can set new frontiers in both diagnosing disease and planning as well as monitoring the effectiveness of treatments.

The scope of this Special Issue of Applied Sciences, entitled “Advances and Applications of Medical Imaging Physics”, is to collect original research manuscripts describing cutting-edge medical imaging physics developments in medicine, as well as reviews providing updates on the latest progresses in this field.

Prof. Dr. Gordana Žauhar
Guest Editor

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Keywords

  • medical physics
  • medical imaging
  • imaging technology
  • ultrasound imaging
  • X-ray computed tomography (CT)
  • magnetic resonance imaging (MRI)
  • positron emission tomography (PET)
  • hybrid imaging
  • artificial intelligence

Published Papers (1 paper)

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Research

14 pages, 5223 KiB  
Article
Evaluation of Single-Photon Emission Computed Tomography Myocardial Perfusion Detection Capability through Physical Descriptors
by Dea Dundara Debeljuh, Roberta Matheoud, Ivan Pribanić, Marco Brambilla and Slaven Jurković
Appl. Sci. 2024, 14(12), 5283; https://doi.org/10.3390/app14125283 - 18 Jun 2024
Viewed by 391
Abstract
A comprehensive validation of data acquired by different myocardial perfusion imaging (MPI) systems was performed to evaluate contrast, self-attenuation properties, and perfusion detection capability. An anthropomorphic phantom with a myocardial insert and perfusion defect was used to simulate 99mTc-tetrofosmin distribution. Different MPI [...] Read more.
A comprehensive validation of data acquired by different myocardial perfusion imaging (MPI) systems was performed to evaluate contrast, self-attenuation properties, and perfusion detection capability. An anthropomorphic phantom with a myocardial insert and perfusion defect was used to simulate 99mTc-tetrofosmin distribution. Different MPI systems were evaluated: a SPECT system with iterative reconstruction algorithms and resolution recovery (IRR) with/without scatter correction (SPECT-IRR-SC and SPECT-IRR), and a cardio-centric IQ SPECT/CT system with IRR, with/without scatter and attenuation corrections (IQ-IRR-SC-AC and IQ-IRR). The image quality was assessed through physical descriptors: the contrast between the left ventricular (LV) wall and LV inner chamber (CLV/LVIC), intrinsic contrast (IC), and net contrast (NC). CLV/LVIC was found to be superior for IQ-IRR-SC-AC. The IC results showed non-uniformity of the signal intensity in the LV wall for the SPECT systems. The lowest IC values were obtained for IQ-IRR-SC-AC, except for septal position, where an underestimation of the signal intensity was revealed. The NC was found to be the highest for IQ-IRR-SC-AC and SPECT-IRR-SC. Additionally, for IQ-IRR-SC-AC, the NC increased in posterior and septal positions compared to IQ-IRR, enabling better perfusion detection capability over short-axis images. IQ-IRR showed performances comparable to SPECT-IRR. The characterization and evaluation perfusion detection capability of the MPI systems enabled the investigation of the systems’ performance and limitations. Full article
(This article belongs to the Special Issue Advances and Applications of Medical Imaging Physics)
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