Physical and Engineering Sciences in Medicine最新文献_第7页

Eye-blink artifact removal in single-channel electroencephalogram using K-means and Savitzky Golay-singular Spectrum Analysis hybrid technique. 基于k均值和Savitzky - golay -奇异谱混合技术的单通道脑电图眨眼伪影去除。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-05-28 DOI: 10.1007/s13246-025-01569-3

Suresh Babu Cherukuri, Sabitha Ramakrishnan

{"title":"Eye-blink artifact removal in single-channel electroencephalogram using K-means and Savitzky Golay-singular Spectrum Analysis hybrid technique.","authors":"Suresh Babu Cherukuri, Sabitha Ramakrishnan","doi":"10.1007/s13246-025-01569-3","DOIUrl":"10.1007/s13246-025-01569-3","url":null,"abstract":"Electroencephalogram (EEG) acquisition systems are used to record the neural condition of humans for diagnosing various neural problems. The eye-blink or Electrooculogram (EOG) artifact caused by eye-lid movements, influences the EEG signal measurements and interferes with the diagnosis. The complete removal of eye-blink artifact while preserving the EEG content is a challenging task that needs highly efficient denoising methods, particularly from Single-Channel EEG which is widely used for Out-Of-Hospital (OOH) neurological patients and for Brain-Computer-Interface (BCI) applications. When compared to multi-channel EEG systems, Single-channel EEG system suffers certain difficulties such as lack of spatial information, redundancy, etc. This paper proposes an innovative hybrid method combining K-Means clustering and Savitzky Golay-Singular Spectrum Analysis (SG-SSA) methods for effective eye-blink artifact removal from single channel EEG. The eye-blink artifact is extracted and then subtracted from the noisy EEG signal, so that the EEG content available in the eye-blink periods are preserved. Through extensive experiments with synthetic as well as real time EEG, we show that our proposed method outperforms the other contemporary methods from literature. Our proposed hybrid approach achieves a significant reduction in Mean Absolute Error (MAE) and Relative Root Mean Square Error (RRMSE) than the Fourier-Bessel Series Expansion based Empirical Wavelet Transform (FBSE-EWT), SSA combined with independent component analysis (SSA-ICA) and Ensemble Empirical Mode Decomposition combined with ICA (EEMD-ICA), proposed in recent literature.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1127-1136"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175708","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

A novel methodology based on Contrast-Adaptive Threshold Model for accurate optic disc detection in retinal images of premature infants. 基于对比度自适应阈值模型的早产儿视网膜图像视盘精确检测新方法。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-06-03 DOI: 10.1007/s13246-025-01565-7

Akhilesh Kakade, Rajesh Kumar Dhanaraj, P S Metkewar, Anand Nayyar

{"title":"A novel methodology based on Contrast-Adaptive Threshold Model for accurate optic disc detection in retinal images of premature infants.","authors":"Akhilesh Kakade, Rajesh Kumar Dhanaraj, P S Metkewar, Anand Nayyar","doi":"10.1007/s13246-025-01565-7","DOIUrl":"10.1007/s13246-025-01565-7","url":null,"abstract":"Identifying the exact location of the optic disc in retinal images is an important task while performing the retinal image analysis. Localization of the optic disc generally fails to detect its exact location due to unclear boundaries and low contrast images, especially in retinal images of infants where the process of retrieving the images should be very quick in low light conditions. The objective of this research paper is to detect the location of optic disc using a segmentation algorithm titled \"Contrast-Adaptive Threshold Model\" in infant retinal images. The novelty of this approach lies in its two-step strategy: it initially utilizes Adaptive Gamma Correction Color Preserving Framework for image enhancement, followed by the application of CATM. This approach performs the processing of red channel, in which the optic disc region is extracted from the red channel by eliminating non-optic disc pixel values. Furthermore, the method computes an adaptive threshold based on standard deviation of the Gaussian filter and enhanced red channel image ( <math><msub><mtext>I</mtext> <mrow><mi>RE</mi></mrow> </msub> </math> ), resulting in the precise localization of optic disc region. The results on ROP dataset of 1103 retina images achieved a dice score of 0.8285, accuracy of 0.9894, precision of 0.9958, recall of 0.9875, and specificity of 0.9999. The experimental evaluation of retinal image dataset of ROP infants, consisting of low-contrast, sub-optimal illumination, and false reflections, represents a significant improvement in optic disc localization, thereby contributing valuable support for the early and reliable diagnosis of ROP.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1057-1078"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209951","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

Advanced bioimpedance analysis for infectious disease risk assessment via neural network classifiers. 基于神经网络分类器的传染病风险评估先进生物阻抗分析。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-07-23 DOI: 10.1007/s13246-025-01575-5

Sergey Filist, Riad Taha Al-Kasasbeh, Tigran Gagikovich Gevorkyan, Osama M Al- Habahbeh, Olga Shatalova, Ahmad Telfah, Evgeny Starkov, Nikolay A Korenevskiy, Ashraf Shaqadan, Manafaddin Bashir Namazov, Ilyash Maksim, Marwan S Mousa

{"title":"Advanced bioimpedance analysis for infectious disease risk assessment via neural network classifiers.","authors":"Sergey Filist, Riad Taha Al-Kasasbeh, Tigran Gagikovich Gevorkyan, Osama M Al- Habahbeh, Olga Shatalova, Ahmad Telfah, Evgeny Starkov, Nikolay A Korenevskiy, Ashraf Shaqadan, Manafaddin Bashir Namazov, Ilyash Maksim, Marwan S Mousa","doi":"10.1007/s13246-025-01575-5","DOIUrl":"10.1007/s13246-025-01575-5","url":null,"abstract":"In this work, a neural network classification model based on multidimensional bioimpedance measurement to analyze biomaterial impedance in living systems was developed. The modified Voigt model was used to capture the structural elements as a bioimpedance model. Utilizing this model, extracted descriptors were used to train neural network classifiers. A multidimensional probing technique was employed to obtain biomaterial descriptors, and then Coles plots were generated. Iterative algorithms were applied to generate Voigt models that represent the biomaterial impedance. The model parameters were then utilized as descriptors for the trained classifiers. The developed hybrid classifiers employing these bioimpedance models and descriptor generation algorithms demonstrated their effectiveness in assessing the risk of infectious diseases and related complications. Sample of patients with viral pneumonia were investigated experimentally to evaluate the performance of the bioimpedance models. Bioimpedance analysis was performed by attaching an electrode belt to the patients' chests, and the results were used to generate Cole plots. This innovative approach in bioimpedance analysis has the potential to revolutionize the diagnosis and treatment of infectious diseases. By leveraging advanced technology and algorithms, we can improve the accuracy of infection risk assessment and mitigate its potential complications. This not only enhances patient outcomes but also aids in reducing the transmission of infectious diseases. Furthermore, a comparative analysis was conducted on a control sample of positive and negative cases of pneumonia using X-ray and bioimpedance methods. The bioimpedance method demonstrated an accuracy of 79%, surpassing the X-ray method by 77%.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1167-1183"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692083","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

Response to comments made on the topical debate: "In Australia professional registration for qualified medical physicists should be mandated through the Australian health practitioner regulation agency (AHPRA)". 对专题辩论评论的回应：“在澳大利亚，合格医学物理学家的专业注册应由澳大利亚卫生从业人员监管机构（AHPRA）强制执行”。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-06-19 DOI: 10.1007/s13246-025-01576-4

Robin Hill, Cathryn Barbagallo

引用次数: 0

Advantages of carbon fibre-reinforced polyetheretherketone over titanium implants in spine SBRT: a phantom evaluation. 碳纤维增强聚醚醚酮相对于钛植入物在脊柱SBRT中的优势：假体评估。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-07-21 DOI: 10.1007/s13246-025-01587-1

Simon K Goodall, Katherine Tonkin, Peter Rampant, Pejman Rowshan Farzad, Martin Ebert

{"title":"Advantages of carbon fibre-reinforced polyetheretherketone over titanium implants in spine SBRT: a phantom evaluation.","authors":"Simon K Goodall, Katherine Tonkin, Peter Rampant, Pejman Rowshan Farzad, Martin Ebert","doi":"10.1007/s13246-025-01587-1","DOIUrl":"10.1007/s13246-025-01587-1","url":null,"abstract":"This study evaluates the clinical feasibility of spine stereotactic body radiotherapy (SBRT) in the presence of titanium and carbon fibre-reinforced polyetheretherketone (CFR-PEEK) spinal implants using custom 3D-printed phantoms. The investigation focuses on the dosimetric accuracy, imaging challenges, and achievable localisation precision. Customised 3D-printed phantoms incorporating titanium and CFR-PEEK implants were computed tomography (CT) scanned, with and without metal artefact reduction (MAR) algorithms. Localisation accuracy was tested using Elekta XVI CBCT and Brainlab ExacTrac Dynamic. The dosimetric accuracy of the Monaco treatment planning system (TPS) was assessed under simple geometric conditions and for clinically realistic VMAT plans. Patient-specific quality assurance and phantom-based measurements using ionization chambers and radiochromic film were performed to evaluate delivered dose accuracy. Both Image Guided Radiotherapy (IGRT) systems achieved sub-millimetre localisation accuracy, with maximum deviations of 0.3 mm observed for titanium implants. The Monaco treatment planning system (TPS) demonstrated accurate dose modelling, with deviations < 1% for CFR-PEEK and < 2% for titanium implants in simple homogeneous arrangements. In complex VMAT plan deliveries, dosimetric measurements showed stronger agreement with TPS predictions for CFR-PEEK implants, with deviations < 3%. Titanium-based plans exhibited greater deviations, with localised dose discrepancies exceeding clinical tolerances of 5%. The application of MAR algorithms reduced these discrepancies to < 5%, ensuring clinically acceptable dosimetric accuracy. CFR-PEEK implants enhance clinical workflows due to reduced imaging artefacts and smoother dose distributions, making MAR corrections unnecessary. For titanium implants, MAR is essential to achieve clinically acceptable dosimetric accuracy, highlighting the robustness of CFR-PEEK for spine SBRT.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1325-1336"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676208","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

Toward accurate estimation of respiratory rate from the photoplethysmogram: effect of different window period of PPG signals. 从光容积图准确估计呼吸速率：不同窗期PPG信号的影响。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-06-30 DOI: 10.1007/s13246-025-01582-6

M S Ganeshmurthy, R Periyasamy, Deepak Joshi

{"title":"Toward accurate estimation of respiratory rate from the photoplethysmogram: effect of different window period of PPG signals.","authors":"M S Ganeshmurthy, R Periyasamy, Deepak Joshi","doi":"10.1007/s13246-025-01582-6","DOIUrl":"10.1007/s13246-025-01582-6","url":null,"abstract":"Respiration Rate (RR) is a crucial physiological measure for evaluating health and detecting early signs of respiratory distress in both clinical and home settings. Traditional RR estimation methods often require specialized equipment, whereas photoplethysmography (PPG) is a noninvasive and cost-effective alternative. However, noise interference and signal quality variations pose challenges in accurately estimating RR from PPG signals. This study proposes an enhanced method that improves the accuracy and robustness of estimation by optimizing the temporal window for segmentation and integrating preprocessing techniques, such as Chebyshev filtering and signal quality indices (SQI).This approach determines the optimal window sizes for precise RR calculation from PPG signals. To validate its effectiveness, the proposed method was evaluated on two datasets: the in-house TMCH dataset and the publicly available BIDMC dataset. On the BIDMC dataset, comprising 53 patients, the method achieved a Mean Absolute Error (MAE) of 2.07 bpm and a Root Mean Square Error (RMSE) of 1.95 bpm using a 120-second window. In the TMCH dataset, which included 524 participants, a 40-second window yielded an RMSE of 0.93 bpm and an MAE of 0.73 bpm. The results highlight the importance of selecting the optimal window size to balance accuracy and real-time performance for continuous and accurate RR estimation. The codes used during the research work are available at link: https://github.com/Ganz2077/Respiration-Rate-Estimation-using-PPG-Signals-and-Windows-Effect .","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1249-1263"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530480","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

Optimization of three-dimensional T2-weighted image sequences in female pelvic magnetic resonance imaging. 女性骨盆磁共振成像三维t2加权图像序列优化。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-07-07 DOI: 10.1007/s13246-025-01549-7

Yasuo Takatsu, Atsushi Ikemoto, Takanobu Yamashiro, Masanobu Nakamura, Tosiaki Miyati

{"title":"Optimization of three-dimensional T2-weighted image sequences in female pelvic magnetic resonance imaging.","authors":"Yasuo Takatsu, Atsushi Ikemoto, Takanobu Yamashiro, Masanobu Nakamura, Tosiaki Miyati","doi":"10.1007/s13246-025-01549-7","DOIUrl":"10.1007/s13246-025-01549-7","url":null,"abstract":"This study aimed to characterize T2-weighted fast spin-echo three-dimensional (3D) magnetic resonance images (MRI) by using variable refocusing angle (VRFA) in female pelvic organs and to extract clinically relevant parameters. A 3T MRI system was used, and contrast-to-noise ratio (CNR) and full width at half maximum (FWHM) were calculated using a phantom mimicking the uterine three-layered structure to confirm the characteristics of low-constant VRFA (LC-VRFA) and tissue-specific VRFA (TS-VRFA) under changing parameters. Parameters that were relatively well-evaluated in the phantom study were combined and visually evaluated as an overall assessment by volunteer images, using common turbo spin-echo (TSE) coefficients and equivalent TE (TEequiv). In most combinations, CNR tended to be higher for longer TEequiv for each TSE factor for both LC- and TS-VRFA, but particularly higher with RFA of 60°-90°, TSE factor of 60-90, and TEequiv of 90-100 ms. TS-VRFA was high in the common TSE factor and TEequiv, with some exceptions. In all combinations, the FWHM of LC-VRFA was narrower than TS-VRFA (P < 0.01). For visual evaluation of volunteer images, LC-VRFA was higher than TS-VRFA (P < 0.05). In LC-VRFA, the upper combinations of RFA (°)-TSE factor-TEequiv (ms) were 90-80-100, 90-90-100, and 90-60-100, respectively. We characterized VRFA 3D T2-weighted MR images for female pelvic organs, extracted optimal parameters. The better VRFA was LC-VRFA, with RFA of 60°-90°, TSE factor of 60-90, and TEequiv of 90-100 ms.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"971-986"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144576701","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

Development and characterisation of a high-sensitivity X-ray CT polymer gel dosimeter. 高灵敏度x射线CT聚合物凝胶剂量计的研制与表征。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-07-09 DOI: 10.1007/s13246-025-01586-2

Jonathon Lexor Lumley, Pejman Rowshanfarzad, Mounir Ibrahim, Mario Djukelic, David J Henry

{"title":"Development and characterisation of a high-sensitivity X-ray CT polymer gel dosimeter.","authors":"Jonathon Lexor Lumley, Pejman Rowshanfarzad, Mounir Ibrahim, Mario Djukelic, David J Henry","doi":"10.1007/s13246-025-01586-2","DOIUrl":"10.1007/s13246-025-01586-2","url":null,"abstract":"Polymer gel dosimeters have shown potential for clinical 3D dosimetry; however, their use has been limited due to low sensitivity and reliance on scarcely available magnetic resonance imaging. This study aimed to optimise a PASSAG (Poly AMPS Sodium Salt And Gelatin) polymer gel dosimeter for X-ray computed tomography, to enhance its clinical feasibility. The total monomer concentration was increased to improve sensitivity, and different cosolvents were tested to enhance the limited solubility of N, N'-methylenebisacrylamide, the crosslinker. n-propanol was identified as the optimal cosolvent, allowing for an 18.3% monomer concentration, 30% crosslinker to total comonomer mass gel, at a 3:7 cosolvent-to-water ratio. The optimised formulation, PASSAG-N (PASSAG- n-propanol), consisted of 54.4% w/w deionised water, 23.3% n-propanol, 12.8% 2-acrylamido-2-methylpropane sulfonic acid sodium salt, 5.5% N, N'-methylenebisacrylamide, 4.0% gelatin, and 0.089% (4.65mM) tetrakis (hydroxymethyl)phosphonium chloride. The dosimeter was irradiated within a standard timeframe to assess its sensitivity, and theoretical calculations confirmed its equivalence to water, soft tissue, brain, and muscle. Compared to a cosolvent-free formulation, PASSAG-N exhibited a 250% increase in Hounsfield unit (HU) change, demonstrating enhanced sensitivity. The optimised gel showed a linear response over a 1-12 Gy dose range, with an average sensitivity of 1.072 ± 0.041 HU Gy⁻¹ and a dose resolution ≤ 0.31 Gy, making it a promising alternative for clinical X-ray computed tomography-based dosimetry. This study highlights the potential of PASSAG-N as a highly sensitive and potentially practical polymer gel dosimeter for clinical applications.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1311-1323"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592606","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

Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives. 探索监督机器学习模型，利用光容积脉搏图（PPG）及其衍生物的非基准特征来估计血压。

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-09-01 Epub Date: 2025-08-04 DOI: 10.1007/s13246-025-01593-3

Erick Javier Argüello-Prada, Carlos David Castaño Mosquera

{"title":"Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives.","authors":"Erick Javier Argüello-Prada, Carlos David Castaño Mosquera","doi":"10.1007/s13246-025-01593-3","DOIUrl":"10.1007/s13246-025-01593-3","url":null,"abstract":"Machine learning has proven valuable in developing photoplethysmography (PPG)-based approaches for blood pressure (BP) estimation, with many holding some promise for cuff-less BP assessment. Still, their efficacy relies on accurate and robust fiducial point detection algorithms. The present study explores the usefulness of several non-fiducial features of the PPG signal and its derivatives in estimating BP by combining well-known feature selection methods and machine learning techniques. We collected PPG recordings from 56 participants and computed fifty-seven non-fiducial features, including statistical indexes and energy operators. After implementing three feature selection algorithms (i.e., F-test, mRMR, and ReliefF), the most relevant features were employed to train four learning regression model families. We computed the mean of all absolute errors (MAE), the squared sum and the standard deviation of the errors (MSE and RMSE, respectively), and the coefficient of determination (r2) to evaluate the performance of each model. The abovementioned feature selection methods produced different optimal feature subsets for systolic and diastolic BP values, with the Matern 5/2 and the rational quadratic GPR models providing the best predictions when combined with ReliefF (MAE = 0.44, MSE = 0.61, and RMSE = 0.78 mmHg for SBP; MAE = 0.31, MSE = 0.40, and RMSE = 0.63 mmHg for DBP). Furthermore, each model utilizes only fifteen easy-to-compute features, thus becoming suitable for computationally constrained hardware. We highlight the need for implementing feature selection algorithms exhaustively, as the most relevant PPG-based features for systolic and diastolic BP estimation might not have the same weight.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1399-1414"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144785687","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

Measurement and application of the optimum value of head scatter correction factors in Radcalc for 6MV photon beams from varian linear accelerators. 瓦里安直线加速器6MV光子光束头部散射校正因子最优值的Radcalc测量与应用

IF 2 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-08-30 DOI: 10.1007/s13246-025-01629-8

Neil Richmond, Katie Chester, Craig Macdougall

{"title":"Measurement and application of the optimum value of head scatter correction factors in Radcalc for 6MV photon beams from varian linear accelerators.","authors":"Neil Richmond, Katie Chester, Craig Macdougall","doi":"10.1007/s13246-025-01629-8","DOIUrl":"https://doi.org/10.1007/s13246-025-01629-8","url":null,"abstract":"To determine the optimum value of head scatter correction factor ([Formula: see text]) used in Radcalc software. The head scatter factors for a selection of multi-leaf collimator fields were measured on a Varian TrueBeam Edge and TrueBeam linear accelerators using an ionisation chamber in a mini-phantom. Radcalc calculated the head scatter values for the same fields. Radcalc calculates head scatter as [Formula: see text]. The head scatter value from Radcalc was recorded when the value of [Formula: see text] was set to 0 or 1. An optimum value of [Formula: see text] was obtained by minimising the sum of the differences between measured and calculated. The optimum values of [Formula: see text], for each linear accelerator type, were applied to clinical patient volume modulated arc therapy calculations. Minimising the summed differences yielded optimum values of [Formula: see text] of 0.149 and 0.276 for the TrueBeam Edge and the TrueBeam datasets respectively. Applying these values to 100 clinical patient volume modulated arc therapy plans, for each linear accelerator type, reduced the mean difference between the primary calculation and the independent check from 0.55 ± 0.95% (µ ± σ) to -0.11 ± 0.85% for the TrueBeam Edge and from 0.79 ± 1.16% to 0.24 ± 0.90% for the TrueBeam plans compared to when a generic Sc value of 0.675 was used. Using optimal values of [Formula: see text]in Radcalc, determined by measurement, reduced the mean monitor unit difference when compared to the primary calculation of a treatment planning system compared to using the standard value of 0.675.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144974765","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