Zeitschrift fur Medizinische Physik最新文献

State-of-the-art and future developments in dosimetry for SSTR- and PSMA-targeting radioligand therapies 针对压力和psma的放射配体治疗的剂量学的最新和未来发展。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-03-21 DOI: 10.1016/j.zemedi.2026.03.011

Sandra Resch, Astrid Delker

{"title":"State-of-the-art and future developments in dosimetry for SSTR- and PSMA-targeting radioligand therapies","authors":"Sandra Resch, Astrid Delker","doi":"10.1016/j.zemedi.2026.03.011","DOIUrl":"10.1016/j.zemedi.2026.03.011","url":null,"abstract":"<div><div>Radioligand therapy targeting the prostate-specific membrane antigen (PSMA) or somatostatin receptors (sstr) has become an established treatment option for metastatic castration-resistant prostate cancer and advanced or inoperable neuroendocrine tumours, respectively. Although several studies have already demonstrated the clinical usefulness of dosimetry-guided personalized treatment schedules, and although there is growing evidence for absorbed-dose-effect-relationships, the clinical implementation of personalized dosimetry is slow due to various factors, such as logistical constraints, a lack of standardisation or missing reimbursement. This review highlights current and future developments in quantitative imaging and personalized dosimetry for radioligand therapy. Current challenges, such as improving the accuracy and efficiency of quantitative imaging, imaging of alpha emitters, single-time-point dosimetry and PET-based absorbed dose prediction, microdosimetry and radiobiology, will be considered. Further, this review will address current ideas on how to implement dosimetry-guided treatment planning for radioligand therapy.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 268-279"},"PeriodicalIF":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147494979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Quantitative Analysis in Myocardial Perfusion Imaging: How does it compare to the “Golden Eye”? 一种新的心肌灌注成像定量分析方法：与“黄金眼”相比如何？

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-03-21 DOI: 10.1016/j.zemedi.2026.03.009

Yue Guo, Juncheng Ni, Esteban Lucas Solari, Alberto Villagran Asiares, Stephan G. Nekolla

{"title":"A Novel Quantitative Analysis in Myocardial Perfusion Imaging: How does it compare to the “Golden Eye”?","authors":"Yue Guo, Juncheng Ni, Esteban Lucas Solari, Alberto Villagran Asiares, Stephan G. Nekolla","doi":"10.1016/j.zemedi.2026.03.009","DOIUrl":"10.1016/j.zemedi.2026.03.009","url":null,"abstract":"<div><div>Myocardial Perfusion Imaging is widely used to evaluate left ventricular perfusion in patients with ischemic heart disease. Semi-quantitative scores, such as Total Perfusion Deficit (TPD), are frequently used for the assessment of extent and severity of disease. TPD scores are based on a frequentist analysis of tracer distribution in perfusion polar maps, which are 2D polar representations of radiopharmaceutical tracer uptake in the left ventricular cardiac wall. In this paper, we propose a novel quantification method for MPI examinations. Our method approaches the problem from an inverse perspective to TPD, allowing the assessment of the severity and extension of abnormal perfusion from the synergetic contribution of all the left ventricular tracer uptake in a polar map. We analytically demonstrate that TPD can be viewed as a specific instance of a broader approach. Furthermore, we explore how to establish the quantitative analysis in a general approach. To test our new method, we leveraged a standard deep learning architecture for the prediction of abnormal perfusion and used gradient-based class activation maps as a measure of the abnormal perfusion territory, which facilitated the quantification of both the severity and extent of the perfusion deficit. In the absence of ground-truth data such as survival rates or major adverse cardiovascular events (MACE) criteria, our results demonstrate both statistical and visual consistency with the conventional TPD.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 390-398"},"PeriodicalIF":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147501477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applications of artificial intelligence in nuclear medicine 人工智能在核医学中的应用。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-05-10 DOI: 10.1016/j.zemedi.2026.04.004

Lena Kaiser, Thomas Wendler, Deni Hardiansyah, Dirk Hellwig, Philipp Lohmann, Stephan Nekolla, Laszlo Papp, Philipp Ritt, Lalith Kumar Shiyam Sundar, Johannes Tran-Gia, Artem Zatcepin, Isabelle Miederer

{"title":"Applications of artificial intelligence in nuclear medicine","authors":"Lena Kaiser, Thomas Wendler, Deni Hardiansyah, Dirk Hellwig, Philipp Lohmann, Stephan Nekolla, Laszlo Papp, Philipp Ritt, Lalith Kumar Shiyam Sundar, Johannes Tran-Gia, Artem Zatcepin, Isabelle Miederer","doi":"10.1016/j.zemedi.2026.04.004","DOIUrl":"10.1016/j.zemedi.2026.04.004","url":null,"abstract":"<div><div>Artificial intelligence (AI) has vast potential to reshape nuclear medicine. Applications can be found at every step of the processing workflow, including image acquisition, image reconstruction, enhancement, and registration, segmentation, extraction of image-derived biomarkers, and prognostication, both for clinical and preclinical research and routine use. Emerging perspectives include computational nuclear oncology, foundation models, biomorphic AI, and quantum AI – currently exploratory but rapidly evolving. However, clinical translation remains limited. This narrative review summarizes the current literature on the subject and highlights current developments and future research directions. As such, it is not intended as a systematic analysis; instead, it outlines potential future directions, supported by multiple examples.</div><div>Analysis of literature reveals impressive advances in the application of AI to nuclear medicine, such as improved time resolution, robust denoising, and automated lesion segmentation. Key challenges include the need for high-quality reference data, generalizability across scanners and populations, transparency and uncertainty quantification of model decisions, and compliance with evolving regulatory frameworks.</div><div>For the future, progress will require broad collaboration between AI developers from research and industry, clinicians, hospital information technology, and regulators, while structured initiatives such as joint symposia should actively include patients to ensure innovations address real needs. Education across disciplines will also be critical for building trust and competence towards fully embracing the potential of AI for better (nuclear) medicine.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 280-299"},"PeriodicalIF":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147876915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial Board + Consulting Editorial Board 编辑委员会+咨询编辑委员会

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-09-12 DOI: 10.1016/S0939-3889(26)00069-3

引用次数: 0

Beyond CT: Attenuation correction for stand-alone brain PET CT之外：独立脑PET的衰减校正。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-02-04 DOI: 10.1016/j.zemedi.2026.02.001

Markus Jehl, Maria Jose Bonta, Ekaterina Mikhaylova, Max Ahnen, Simon R. Cherry, Ilaria Sacco, Jannis Fischer

{"title":"Beyond CT: Attenuation correction for stand-alone brain PET","authors":"Markus Jehl, Maria Jose Bonta, Ekaterina Mikhaylova, Max Ahnen, Simon R. Cherry, Ilaria Sacco, Jannis Fischer","doi":"10.1016/j.zemedi.2026.02.001","DOIUrl":"10.1016/j.zemedi.2026.02.001","url":null,"abstract":"<div><div>Accurate attenuation correction (AC) is essential for quantitative brain positron emission tomography (PET), but it presents a significant challenge for dedicated PET-only systems that lack anatomical information from computed tomography (CT) or magnetic resonance imaging. This review provides a comprehensive overview of AC methods designed for stand-alone brain PET. We categorise and analyse existing approaches, including traditional segmentation-based techniques, atlas- and template-driven strategies, methods for simultaneous reconstruction of attenuation and activity, and modern data-driven deep learning techniques. We discuss the inherent trade-offs of each category: template-based methods are computationally efficient and robust for normal anatomy but may fail in atypical cases, while simultaneous reconstruction methods can be powerful but are often sensitive to noise and require time-of-flight information. Deep learning approaches have demonstrated the highest potential for generating patient-specific attenuation maps but are critically dependent on large, diverse training datasets and face challenges in generalisability. Finally, we survey the methods currently implemented in commercial brain-dedicated PET systems, revealing a gap between cutting-edge research and clinical practice, where simpler, more established techniques are still preferred. This review highlights the ongoing need for CT-less AC solutions that balance accuracy, robustness, and practical feasibility for clinical adoption.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 300-314"},"PeriodicalIF":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146128045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From photons and their detectors, ultra short and “longer” times to tiny and giant PETs, golden eyes, AI and surgical probes – Nuclear Medicine has it all 从光子和它们的探测器，超短和“更长的”时间，到微小和巨大的宠物，金眼睛，人工智能和手术探针——核医学拥有一切。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-07-10 DOI: 10.1016/j.zemedi.2026.07.002

Sibylle Ziegler, Bernhard Sattler

引用次数: 0

Science and technology in nuclear medicine: historical perspective and update on current developments – an extended essay 核医学中的科学和技术：历史观点和当前发展的最新情况-一篇扩展文章。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-08-05 DOI: 10.1016/j.zemedi.2026.07.007

Otmar Schober

引用次数: 0

First ex-vivo positronium imaging of tissues with modular J-PET scanner using 44Sc radionuclide 首次使用模块化J-PET扫描仪使用44Sc放射性核素对组织进行离体正电子成像。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-03-11 DOI: 10.1016/j.zemedi.2026.03.004

Karol Kubat, Manish Das, Sushil Sharma, Ermias Y. Beyene, Aleksander Bilewicz, Jarosław Choiński, Neha Chug, Catalina Curceanu, Eryk Czerwiński, Jakub Hajduga, Sharareh Jalali, Krzysztof Kacprzak, Tevfik Kaplanoglu, Łukasz Kapłon, Kamila Kasperska, Aleksander Khreptak, Grzegorz Korcyl, Tomasz Kozik, Anoop Kunimmal Venadan, Deepak Kumar, Ewa Ł. Stępień

{"title":"First ex-vivo positronium imaging of tissues with modular J-PET scanner using 44Sc radionuclide","authors":"Karol Kubat, Manish Das, Sushil Sharma, Ermias Y. Beyene, Aleksander Bilewicz, Jarosław Choiński, Neha Chug, Catalina Curceanu, Eryk Czerwiński, Jakub Hajduga, Sharareh Jalali, Krzysztof Kacprzak, Tevfik Kaplanoglu, Łukasz Kapłon, Kamila Kasperska, Aleksander Khreptak, Grzegorz Korcyl, Tomasz Kozik, Anoop Kunimmal Venadan, Deepak Kumar, Ewa Ł. Stępień","doi":"10.1016/j.zemedi.2026.03.004","DOIUrl":"10.1016/j.zemedi.2026.03.004","url":null,"abstract":"<div><div>This study presents the first ex-vivo positronium imaging of human tissues using the modular J-PET scanner with the <sup>44</sup>Sc radionuclide. The <sup>44</sup>Sc isotope was produced via the <sup>44</sup>Ca(p, n)<sup>44</sup>Sc nuclear reaction and used to perform positronium imaging of phantom composed of human adipose tissue, cardiac myxoma tissue, thrombi blood clot, and also porous polymer XAD4, and a certified reference material (CRM) made from fused silica. The experiment demonstrates the suitability of <sup>44</sup>Sc as a positron source for positronium imaging. The performance of J-PET for positronium imaging with <sup>44</sup>Sc was validated by proper reconstruction of the mean ortho-positronium lifetime for CRM material and XAD-4 polymer. The mean ortho-positronium (o-Ps) lifetimes determined for adipose tissue, cardiac myxoma tissues and thrombi were consistent with results of previous experiments. The study highlights the potential <sup>44</sup>Sc radionuclide for positronium lifetime imaging (PLI).</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 357-365"},"PeriodicalIF":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147439033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications 动态长轴视场PET扫描的参数化成像：技术挑战，统计见解和临床应用。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-02-01 DOI: 10.1016/j.zemedi.2026.01.007

Fengyun Gu, Clemens Mingels, Robert Seifert, Federico Caobelli, Ali Afshar-Oromieh, Axel Rominger, Finbarr O’Sullivan, Kuangyu Shi

{"title":"Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications","authors":"Fengyun Gu, Clemens Mingels, Robert Seifert, Federico Caobelli, Ali Afshar-Oromieh, Axel Rominger, Finbarr O’Sullivan, Kuangyu Shi","doi":"10.1016/j.zemedi.2026.01.007","DOIUrl":"10.1016/j.zemedi.2026.01.007","url":null,"abstract":"<div><div>Dynamic long-axial-field-of-view (LAFOV) PET imaging offers unprecedented opportunities for quantitative assessment of tracer kinetics across the entire body. This review discusses the core technical challenges posed by LAFOV datasets in parametric image generation and introduces methodological developments from a statistical perspective, including arterial input function strategies, classical and flexible kinetic models (compartment models, spectral analysis, adiabatic approximation to the tissue homogeneity, and non-parametric models), graphical techniques (Patlak, Logan, and their variants), and emerging directions such as direct parametric reconstruction, dimension reduction, and deep learning. These methodologies are further linked to dynamic clinical protocols designed to shorten scanning times, enable multi-tracer injections, support low-dose imaging, and open avenues for novel tracer and drug development. Finally, we summarize the most recent software packages, particularly those tailored for LAFOV PET parametric imaging. These advances indicate that reliable parametric imaging holds promise for broader clinical adoption, grounded in robust modeling, multi-center validation, and ongoing software advancements.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"36 3","pages":"Pages 332-344"},"PeriodicalIF":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Potential and challenges of Positron Emission Tomography beyond conventional preclinical and clinical imaging 正电子发射断层扫描超越常规临床前和临床成像的潜力和挑战。

IF 4.7 4区医学

Zeitschrift fur Medizinische Physik Pub Date : 2026-08-01 Epub Date: 2026-06-29 DOI: 10.1016/j.zemedi.2026.06.001

Nicola D’Ascenzo, Magdalena Rafecas

{"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":"10.1016/j.zemedi.2026.06.001","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":4.7,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148355394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0