Physical and Engineering Sciences in Medicine最新文献_第10页

Evaluation of a digital bismuth germanium oxide PET/CT system according to the Japanese brain tumor phantom test for ¹⁸F-fluciclovine imaging. 根据日本脑肿瘤幻像试验对数字氧化铋锗PET/CT系统进行18f氟化影成像评价。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-07-22 DOI: 10.1007/s13246-025-01608-z

Shohei Fukai, Hiromitsu Daisaki, Honoka Yoshida, Naoki Shimada, Kazuki Motegi, Atsushi Osawa, Takashi Terauchi

{"title":"Evaluation of a digital bismuth germanium oxide PET/CT system according to the Japanese brain tumor phantom test for 18F-fluciclovine imaging.","authors":"Shohei Fukai, Hiromitsu Daisaki, Honoka Yoshida, Naoki Shimada, Kazuki Motegi, Atsushi Osawa, Takashi Terauchi","doi":"10.1007/s13246-025-01608-z","DOIUrl":"https://doi.org/10.1007/s13246-025-01608-z","url":null,"abstract":"The Omni Legend (GE Healthcare), equipped with a digital bismuth germanium oxide PET/CT system, has been recently developed. However, the performance of the Omni Legend without a time-of-flight (TOF) system for 18F-fluciclovine imaging is still unclear. Therefore, this study evaluated the image quality of the Omni Legend according to the Japanese brain tumor phantom test (JBT) criteria, and assessed its potential use for 18F-fluciclovine imaging. This study followed the JBT procedures. A brain tumor phantom, which includes six hot spheres of different diameters, was filled with an 18F-fluorodeoxyglucose solution with a radioactivity concentration ratio of 3 (spheres):1 (background). PET scanning was performed using the Omni Legend with a 30-min list mode acquisition. The PET data were reconstructed using an ordered subset expectation maximization (OSEM), an OSEM with point spread function (OSEM + PSF), and a Bayesian penalized likelihood (BPL) under standard clinical parameters. The image quality was evaluated using the JBT criteria, including contrast for a 7.5-mm sphere, recovery coefficient (RC) for a 10.0-mm sphere, standardized uptake value of total background (SUVTOT), and detectability for a 7.5-mm sphere. The contrast, RC, and SUVTOT were 25.1%, 0.70, and 1.00, respectively in OSEM; 25.8%, 0.80, and 0.99 in OSEM + PSF; and 33.8%, 0.93, and 0.99 in BPL. The 7.5-mm sphere was detected by all three methods. All of the JBT criteria were satisfied, regardless of the PET image reconstruction methods. This study demonstrated that the Omni Legend without TOF satisfies all JBT criteria and has the potential to provide high-quality images in 18F-fluciclovine imaging.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radiation exposure of young patients with abdominal neuroblastoma from therapeutic and imaging procedures: a phantom study. 年轻腹部神经母细胞瘤患者在治疗和成像过程中的辐射暴露：一项幻象研究。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-07-22 DOI: 10.1007/s13246-025-01601-6

Michalis Mazonakis, John Stratakis, Efrossyni Lyraraki, John Damilakis

{"title":"Radiation exposure of young patients with abdominal neuroblastoma from therapeutic and imaging procedures: a phantom study.","authors":"Michalis Mazonakis, John Stratakis, Efrossyni Lyraraki, John Damilakis","doi":"10.1007/s13246-025-01601-6","DOIUrl":"https://doi.org/10.1007/s13246-025-01601-6","url":null,"abstract":"This study calculated the radiation dose to young patients with high-risk abdominal neuroblastoma from therapeutic and imaging procedures. Computational XCAT phantoms representing typical patients aged 5-15 years were used. Intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) plans were generated with 6 MV photons for a planning target volume (PTV) on the left and right abdominal side. Dose-volume-histograms from the plans were used to find the average dose (Dav) to critical normal abdominal and thoracic organs. The imaging dose to these organs and PTV was calculated by simulating kV cone-beam computed tomography (CBCT) scanning for patient setup before radiotherapy. Different CBCT protocols were simulated with Monte Carlo methods. The IMRT and VMAT plans provided similar PTV coverage and organ sparing. For a 21.6 Gy target dose, the Dav of the abdominal organs from the treatment plans was 3.6-19.6 Gy and that of thoracic organs was 0.1-2.3 Gy. Daily CBCT scans on 15-year-old patients with the standard adult protocol gave total PTV and organ doses of 95.3-485.3 mGy. The doses from the modified standard protocol for 5- and 10-year-old patients were 74.2-159.6 mGy. The dose calculations with a specially designed CBCT protocol for patients up to 10 years were 6.0-27.8 mGy. The total imaging dose to the PTV was up to 2.2% of the delivered therapeutic dose. The replacement of the modified adult CBCT protocol with a special protocol solely defined for children reduced the radiation dose to target and normal organs by more than five times.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Supervised versus unsupervised GAN for pseudo-CT synthesis in brain MR-guided radiotherapy. 有监督GAN与无监督GAN在脑磁共振引导放疗中伪ct合成的比较。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-07-22 DOI: 10.1007/s13246-025-01606-1

Milad Zeinali Kermani, Mohamad Bagher Tavakoli, Amir Khorasani, Iraj Abedi, Vahid Sadeghi, Alireza Amouheidari

{"title":"Supervised versus unsupervised GAN for pseudo-CT synthesis in brain MR-guided radiotherapy.","authors":"Milad Zeinali Kermani, Mohamad Bagher Tavakoli, Amir Khorasani, Iraj Abedi, Vahid Sadeghi, Alireza Amouheidari","doi":"10.1007/s13246-025-01606-1","DOIUrl":"https://doi.org/10.1007/s13246-025-01606-1","url":null,"abstract":"Radiotherapy is a crucial treatment for brain tumor malignancies. To address the limitations of CT-based treatment planning, recent research has explored MR-only radiotherapy, requiring precise MR-to-CT synthesis. This study compares two deep learning approaches, supervised (Pix2Pix) and unsupervised (CycleGAN), for generating pseudo-CT (pCT) images from T1- and T2-weighted MR sequences. 3270 paired T1- and T2-weighted MRI images were collected and registered with corresponding CT images. After preprocessing, a supervised pCT generative model was trained using the Pix2Pix framework, and an unsupervised generative network (CycleGAN) was also trained to enable a comparative assessment of pCT quality relative to the Pix2Pix model. To assess differences between pCT and reference CT images, three key metrics (SSIM, PSNR, and MAE) were used. Additionally, a dosimetric evaluation was performed on selected cases to assess clinical relevance. The average SSIM, PSNR, and MAE for Pix2Pix on T1 images were 0.964 ± 0.03, 32.812 ± 5.21, and 79.681 ± 9.52 HU, respectively. Statistical analysis revealed that Pix2Pix significantly outperformed CycleGAN in generating high-fidelity pCT images (p < 0.05). There was no notable difference in the effectiveness of T1-weighted versus T2-weighted MR images for generating pCT (p > 0.05). Dosimetric evaluation confirmed comparable dose distributions between pCT and reference CT, supporting clinical feasibility. Both supervised and unsupervised methods demonstrated the capability to generate accurate pCT images from conventional T1- and T2-weighted MR sequences. While supervised methods like Pix2Pix achieve higher accuracy, unsupervised approaches such as CycleGAN offer greater flexibility by eliminating the need for paired training data, making them suitable for applications where paired data is unavailable.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid deep-CNN and Bi-LSTM model with attention mechanism for enhanced ECG-based heart disease diagnosis. 基于注意机制的deep-CNN和Bi-LSTM混合模型增强心电诊断。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-07-22 DOI: 10.1007/s13246-025-01612-3

Gaurav Kumar, Neeraj Varshney

{"title":"Hybrid deep-CNN and Bi-LSTM model with attention mechanism for enhanced ECG-based heart disease diagnosis.","authors":"Gaurav Kumar, Neeraj Varshney","doi":"10.1007/s13246-025-01612-3","DOIUrl":"https://doi.org/10.1007/s13246-025-01612-3","url":null,"abstract":"According to the World Health Organization (WHO), 17.9 million people die yearly from cardiovascular Diseases (CVDs), including heart attacks. Cardiovascular diseases, including heart attack, kill 32% of people globally. Current approaches struggle with electrocardiogram (ECG) signal variability, causing diagnosing errors. The adoption of automated and accurate models for heart disease detection is lacking since conventional methods rely on human analysis, which is time-consuming and error-prone. This work covers the crucial topic of heart disease diagnosis, especially ECG data analysis for cardiovascular disease detection. The integration of the Deep-Convolutional Neural Network (Deep-CNN) and Bidirectional Long Short-Term Memory (Bi-LSTM) model with an Attention Mechanism enhances the accuracy and reliability of heart disease categorisation. The Deep-CNN component efficiently extracts features from capture spatial linkages, while the Bi-LSTM layers handle temporal dependencies to identify patient health patterns over time. The model is evaluated on 303 patient records with 14 clinical characteristics from the University of California, Irvine (UCI) Cleveland Heart Disease dataset. The suggested technique has 97.23% accuracy, 97.72% recall, precision, and 96.90% F1 score. These findings show that the proposed architecture improves diagnostic performance more than boosting ensemble approaches and hybrid models.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating Monaco 6.2.2 in complex radiotherapy across matched LINACs: improved MLC modelling and dose accuracy with virtual source model 2.0. 评估Monaco 6.2.2在匹配LINACs的复杂放疗中的应用：使用虚拟源模型2.0改进MLC建模和剂量准确性。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-07-21 DOI: 10.1007/s13246-025-01602-5

Luis Muñoz, Peter McLoone, Peter Metcalfe, Anatoly B Rosenfeld, Giordano Biasi

{"title":"Evaluating Monaco 6.2.2 in complex radiotherapy across matched LINACs: improved MLC modelling and dose accuracy with virtual source model 2.0.","authors":"Luis Muñoz, Peter McLoone, Peter Metcalfe, Anatoly B Rosenfeld, Giordano Biasi","doi":"10.1007/s13246-025-01602-5","DOIUrl":"https://doi.org/10.1007/s13246-025-01602-5","url":null,"abstract":"This study assesses the updated Monaco TPS virtual source model (VSM) 2.0, which removes multileaf collimator (MLC) and jaw characterization as editable factors from the MLC geometry section within Monaco. The focus is on the impact of changes to stereotactic radiotherapy (SRT) cases for spinal and intracranial treatments for two beam matched linear accelerators. A validated custom VSM 1.6 model optimized for SRT was compared with the Elekta Accelerated Go Live 6 MV flattening filter-free (FFF) and VSM 2.0. Evaluations included measured MLC characteristics with a high-resolution detector, measured output factors (OPF), ion chamber fields in the thorax phantom, and recalculations of clinically relevant SRT cases. VSM 2.0 improves MLC modelling. Ion chamber measurements for IAEA TD1583 measurements were found to be within expected tolerances. Gamma pass rates for two matched LINACs evidenced improvement at 1%, 1 mm and 10% threshold for single and multi-SRS brain and SABR Spine treatments. VSM 2.0 represents a meaningful advancement in beam modelling within a Monte Carlo-based TPS environment, offering improved dosimetric performance and operational simplicity. Commercially available detectors were used to demonstrate that VSM 2.0 enhances agility MLC modelling, supporting more precise SRT and SABR delivery for matched LINACs. Removing configurable dependencies from the beam model will result in more consistent high quality beam models, an improves workflows for commissioning of the Monaco TPS.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced gastrointestinal disease classification using a convvit hybrid model on endoscopic images. 在内镜图像上使用卷积混合模型增强胃肠道疾病分类。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-07-21 DOI: 10.1007/s13246-025-01600-7

Anıl Utku

{"title":"Enhanced gastrointestinal disease classification using a convvit hybrid model on endoscopic images.","authors":"Anıl Utku","doi":"10.1007/s13246-025-01600-7","DOIUrl":"https://doi.org/10.1007/s13246-025-01600-7","url":null,"abstract":"Endoscopy is a procedure that allows examination of the gastrointestinal system, including the stomach, esophagus, large intestine, and duodenum, with the help of an endoscope. Processing of endoscopic images is important for early detection and treatment of gastrointestinal diseases. In this study, hybrid ConvViT was developed using CNN and ViT to increase the classification accuracy of pathologies in gastrointestinal endoscopic images. CNNs are well-suited for capturing local spatial features through hierarchical convolutions, making them highly effective in detecting fine-grained textures and edge patterns. These capabilities complement the ViT's global attention mechanism, which excels at modeling long-range dependencies in images. The motivation of this study is to increase the classification accuracy and reliability with the ConvViT model, which was developed by combining the practical features of CNN and ViT models, which are individually successful in different aspects of image processing. The ConvViT model was compared with VGG-16, ResNet-50, Inception-V3 and ViT. Comparable models were tested using a gastrointestinal endoscopic image dataset containing ulcers, polyps, inflammation, bleeding, and regular anatomical features. Experiments showed that ConvViT had better prediction performance than compared models, with 95.87% classification accuracy.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144683421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Retearing of type B blind cystic aortic dissection: computational fluid dynamics analysis. B型盲目性囊性主动脉夹层再撕裂：计算流体力学分析。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-06-01 Epub Date: 2025-05-14 DOI: 10.1007/s13246-025-01552-y

Hongbing Chen, Yujing Huang, Tong Su, Qi Wang, Minzhu Zhao, Shangyu Zhang, Ruijiao Lin, Jianbo Li

{"title":"Retearing of type B blind cystic aortic dissection: computational fluid dynamics analysis.","authors":"Hongbing Chen, Yujing Huang, Tong Su, Qi Wang, Minzhu Zhao, Shangyu Zhang, Ruijiao Lin, Jianbo Li","doi":"10.1007/s13246-025-01552-y","DOIUrl":"10.1007/s13246-025-01552-y","url":null,"abstract":"Aortic dissection (AD) is a serious life-threatening vascular disease. However, research on type B blind cystic AD is still insufficient. This type of AD involves only one proximal intimal tear, and the distal end of the aortic false lumen (FL) is a blind sac. The purpose of this study was to explore the haemodynamic indicators of retearing and high-risk areas for FL rupture in type B blind cystic AD patients. This study included 4 cases of type B blind cystic AD rupture death, which revealed the pathological characteristics of the aorta. In addition, imaging data from one deceased and four patients with type B AD (TBAD) with multiple intimal tears were collected, and two groups of models (n = 10) were constructed. The pressure, velocity, time-averaged wall shear stress (TAWSS), and relative residence time (RRT) were compared to interpret our autopsy results. In type B blind cystic AD patients, the FL is characterized by high pressure, a low TAWSS, and high RRT. There was a relatively high TAWSS in the FL adjacent to the proximal intimal tear; at the same time, both the blood flow velocity and the pressure difference in the true lumen (TL) significantly changed. In addition, the greater the curvature of the aorta is, the more drastic the change in the luminal pressure difference. In type B blind cystic AD, high pressure may be the main reason for FL rupture, and the FL adjacent to the proximal intimal tear may be a high-risk rupture area. In addition, alterations in blood flow velocity and differential pressure may cause distal intimal retears. Tortuosity is an important indicator for studying pressure changes.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"847-856"},"PeriodicalIF":2.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143991198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of the tissue equivalence of typical 3D-printing materials for application in internal dosimetry using monte carlo simulations. 利用蒙特卡罗模拟研究典型3d打印材料在内剂量学中的组织等效性。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-06-01 Epub Date: 2025-03-13 DOI: 10.1007/s13246-025-01532-2

Ayse Karadeniz-Yildirim, Handan Tanyildizi-Kokkulunk

引用次数: 0

Artificial intelligence and its potential integration with the clinical practice of diagnostic imaging medical physicists: a review. 人工智能及其与诊断成像医学物理学家临床实践的潜在整合：综述。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-06-01 Epub Date: 2025-03-24 DOI: 10.1007/s13246-025-01535-z

Ngo Fung Daniel Lam, Jing Cai, Kwan Hoong Ng

引用次数: 0

Analysis of material composition and attenuation characteristics of anthropomorphic torso phantoms for dosimetry using dual energy CT technology. 双能CT技术用于剂量学的拟人躯干模型的材料组成和衰减特性分析。

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-06-01 Epub Date: 2025-03-18 DOI: 10.1007/s13246-025-01533-1

Koji Ono, Yasuki Asada

{"title":"Analysis of material composition and attenuation characteristics of anthropomorphic torso phantoms for dosimetry using dual energy CT technology.","authors":"Koji Ono, Yasuki Asada","doi":"10.1007/s13246-025-01533-1","DOIUrl":"10.1007/s13246-025-01533-1","url":null,"abstract":"Anthropomorphic phantoms are often used to estimate organ absorbed doses. However, the material composition of these phantoms is not identical to that of the human body, which may cause errors in the measurement results. The purpose of this study was to analyze the material composition of several anthropomorphic torso phantoms using dual energy computed tomography (DECT), and to clarify the differences in attenuation characteristics among the phantoms. Anthropomorphic torso phantoms (ATOM, RANDO, and PBU-60) from different manufacturers were scanned with DECT. The target organs were lung, soft tissue, liver, bone, and bone surface, and a spectral Hounsfield unit curve (HU curve) was created from the relationship between energy and CT values. Ideal CT values were estimated from the mass attenuation coefficient and density proposed by the International Commission on Radiation Units and Measurements report 44 (ideal value) and compared with the values of each phantom. There were large differences in attenuation characteristics among the phantoms for soft tissue, liver, and bone. The respective ideal, ATOM, RANDO, and PBU-60 CT values of soft tissue were 59.82, 14.17, 34.22, and - 70.11 at 45 keV; and 53.13, 24.41, 3.97, and - 5.75 at 70 keV. The phantom closest to the ideal value may differ depending on the energy. Differences in HU curve and CT values indicate that some organs in the phantom have different material composition and attenuation characteristics to human tissues. When the phantoms available for dosimetry are limited, it is important to understand the attenuation characteristics of each phantom used.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"675-683"},"PeriodicalIF":2.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0