{"title":"Potential and challenges of Positron Emission Tomography beyond conventional preclinical and clinical imaging","authors":"Nicola D’Ascenzo, Magdalena Rafecas","doi":"10.1016/j.zemedi.2026.06.001","DOIUrl":null,"url":null,"abstract":"<div><div>Positron Emission Tomography (PET) is a non-invasive, highly sensitive functional imaging modality, firmly established in clinical practice for the diagnosis and assessment of therapeutic efficacy in oncological and neurological disorders. Recent advances in digital image processing, sensor technology, and imaging algorithms have enabled this technique to achieve sub-millimetric spatial resolution and a high degree of compactness, thereby making its application to the investigation of biological systems smaller than humans both feasible and scientifically meaningful. In this review, we detail the substantial impact of PET on emerging applications in biomedicine, food security, and agriculture. We focus specifically on non-conventional implementations of PET, including small-animal imaging in species beyond traditional murine models, and imaging of crops. The discussed translational pathways of PET – <em>from bench to bedside</em> and <em>from-lab-to-field</em> – impose stringent technological requirements on system design and performance, thereby driving further innovation in PET detector technologies and associated electronics.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 345-356"},"PeriodicalIF":4.7000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift fur Medizinische Physik","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0939388926000607","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Positron Emission Tomography (PET) is a non-invasive, highly sensitive functional imaging modality, firmly established in clinical practice for the diagnosis and assessment of therapeutic efficacy in oncological and neurological disorders. Recent advances in digital image processing, sensor technology, and imaging algorithms have enabled this technique to achieve sub-millimetric spatial resolution and a high degree of compactness, thereby making its application to the investigation of biological systems smaller than humans both feasible and scientifically meaningful. In this review, we detail the substantial impact of PET on emerging applications in biomedicine, food security, and agriculture. We focus specifically on non-conventional implementations of PET, including small-animal imaging in species beyond traditional murine models, and imaging of crops. The discussed translational pathways of PET – from bench to bedside and from-lab-to-field – impose stringent technological requirements on system design and performance, thereby driving further innovation in PET detector technologies and associated electronics.
期刊介绍:
Zeitschrift fur Medizinische Physik (Journal of Medical Physics) is an official organ of the German and Austrian Society of Medical Physic and the Swiss Society of Radiobiology and Medical Physics.The Journal is a platform for basic research and practical applications of physical procedures in medical diagnostics and therapy. The articles are reviewed following international standards of peer reviewing.
Focuses of the articles are:
-Biophysical methods in radiation therapy and nuclear medicine
-Dosimetry and radiation protection
-Radiological diagnostics and quality assurance
-Modern imaging techniques, such as computed tomography, magnetic resonance imaging, positron emission tomography
-Ultrasonography diagnostics, application of laser and UV rays
-Electronic processing of biosignals
-Artificial intelligence and machine learning in medical physics
In the Journal, the latest scientific insights find their expression in the form of original articles, reviews, technical communications, and information for the clinical practice.