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Comparing interplay effects in scanned proton therapy of lung cancer: Free breathing with various layer and volume rescanning versus respiratory gating with different gate widths Phys. Med. (IF 3.4) Pub Date : 2024-03-10 Yuki Tominaga, Masaki Suga, Mikuni Takeda, Yuki Yamamoto, Takashi Akagi, Takahiro Kato, Sunao Tokumaru, Michinori Yamamoto, Masataka Oita
We investigated interplay effects and treatment time (TT) in scanned proton therapy for lung cancer patients. We compared free-breathing (FB) approaches with multiple rescanning strategies and respiratory-gating (RG) methods with various gating widths to identify the superior irradiation technique. Plans were created with 4/1, 2/2, and 1/4 layered/volume rescans of FB (L4V1, L2V2, and L1V4), and 50%
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Estimating of radiation output of X-RAY tube using mathematical model: Case of high-frequency machines Phys. Med. (IF 3.4) Pub Date : 2024-03-08 Alex Eclador Ngankem, Clemence Raïssa Tchatchouang Simo, Daniel Bongue, Ruth Nana Njantang, Maurice Moyo Ndontchueng, Odette Ngano Samba
During any radiological procedure, it is important to know the dose to be-administered to the patient and this can be done by estimating the output of the X-ray tube either with a dosimeter or with a mathematical equation or Monte Carlo simulations. The aim of this work is to develop a new mathematical model equation (NMME) for estimating the output of high-frequency X-ray tubes. To achieve this, data
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Differentiating HCC from ICC and prediction of ICC grade based on MRI deep-radiomics: Using lesions and their extended regions Phys. Med. (IF 3.4) Pub Date : 2024-03-06 Shuping Wang, Xuehu Wang, Xiaoping Yin, Xiaoyan Lv, Jianming Cai
This study aimed to evaluate the ability of MRI-based intratumoral and peritumoral radiomics features of liver tumors to differentiate between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) and to predict ICC differentiation. This study retrospectively collected 87 HCC patients and 75 ICC patients who were confirmed pathologically. The standard region of interest (ROI) of
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Risk adaptive planning with biology-based constraints may lead to higher tumor control probability in tumors of the canine brain: A planning study Phys. Med. (IF 3.4) Pub Date : 2024-03-01 Stephan Radonic, Uwe Schneider, Jürgen Besserer, Valeria S. Meier, Carla Rohrer Bley
Classical radiation protocols are guided by physical dose delivered homogeneously over the target. Protocols are chosen to keep normal tissue complication probability (NTCP) at an acceptable level. Organs at risk (OAR) adjacent to the target volume could lead to underdosage of the tumor and a decrease of tumor control probability (TCP). The intent of our study was to explore a biology-based dose escalation:
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A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms Phys. Med. (IF 3.4) Pub Date : 2024-02-28 Silvia Tomasi, Klarisa Elena Szilagyi, Patrizio Barca, Francesca Bisello, Lorenzo Spagnoli, Sara Domenichelli, Lidia Strigari
To characterise the impact of Precise Image (PI) deep learning reconstruction algorithm on image quality, compared to filtered back-projection (FBP) and iDose iterative reconstruction for brain computed tomography (CT) phantom images. Catphan-600 phantom was acquired with an Incisive CT scanner using a dedicated brain protocol, at six different dose levels (volume computed tomography dose index (CTDI):
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End-to-end dosimetry audit for three-dimensional image-guided brachytherapy for cervical cancer Phys. Med. (IF 3.4) Pub Date : 2024-02-22 Hideyuki Mizuno, Taku Nakaji, Shigekazu Fukuda, Shingo Kato
End-to-end dosimetry audit for brachytherapy is challenging due to the steep dose gradient. However, it is an efficient method to detect unintended errors in actual clinical practice. We aimed to develop an on-site end-to-end test phantom for three-dimensional image-guided brachytherapy (IGBT) for cervical cancer. The test phantom we developed consisted of a water tank with an applicator/detector holder
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A time- and space-saving Monte Carlo simulation method using post-collimation generative adversarial network for dose calculation of an O-ring gantry Linac Phys. Med. (IF 3.4) Pub Date : 2024-02-21 Mengying Shi, Sunan Cui, Cynthia Chuang, Oluwaseyi Oderinde, Nataliya Kovalchuk, Murat Surucu, Lei Xing, Bin Han
This study explores the feasibility of employing Generative Adversarial Networks (GANs) to model the RefleXion X1 Linac. The aim is to investigate the accuracy of dose simulation and assess the potential computational benefits. The X1 Linac is a new radiotherapy machine with a binary multi-leaf collimation (MLC) system, facilitating innovative biology-guided radiotherapy. A total of 34 GAN generators
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Multicentric characterisation of lateral beam profiles generated by 6FFF beam of three 0.35 T MR-linac systems Phys. Med. (IF 3.4) Pub Date : 2024-02-21 Menna Sebastiano, El Gawhary Randa, Placidi Lorenzo, Quaranta Flaviovincenzo, Borrazzo Cristian, Masi Marica, Nardini Matteo, Rago Maria, Indovina Luca, Cusumano Davide, Fogliata Antonella
The physical characterisation of FFF-beam profiles in the presence of a magnetic field requires a new standardization procedure and formulation. The aim of this multicentric experience is to propose new normalisation factors to allow for the calculation of standard parameters typical of flattened beams, such as dosimetric field size and penumbra, for a 6 MV FFF beam from an MR-linac. The measurements
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Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imaging Phys. Med. (IF 3.4) Pub Date : 2024-02-19 MohammadSaber Azimi, Alireza Kamali-Asl, Mohammad-Reza Ay, Navid Zeraatkar, Mahboube-Sadat Hosseini, Amirhossein Sanaat, Hossein Arabi
This work set out to propose an attention-based deep neural network to predict partial volume corrected images from PET data not utilizing anatomical information. An attention-based convolutional neural network (ATB-Net) is developed to predict PVE-corrected images in brain PET imaging by concentrating on anatomical areas of the brain. The performance of the deep neural network for performing PVC without
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A PBPK model for PRRT with [177Lu]Lu-DOTA-TATE: Comparison of model implementations in SAAM II and MATLAB/SimBiology Phys. Med. (IF 3.4) Pub Date : 2024-02-16 Valentina Vasić, Johan Gustafsson, Elham Yousefzadeh Nowshahr, Anna Stenvall, Ambros J. Beer, Katarina Sjögreen Gleisner, Gerhard Glatting
Physiologically based pharmacokinetic (PBPK) models offer the ability to simulate and predict the biodistribution of radiopharmaceuticals and have the potential to enable individualised treatment planning in molecular radiotherapy. The objective of this study was to develop and implement a whole-body compartmental PBPK model for peptide receptor radionuclide therapy (PRRT) with [Lu]Lu-DOTA-TATE in
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Segmenting brain glioblastoma using dense-attentive 3D DAF2 Phys. Med. (IF 3.4) Pub Date : 2024-02-10 Sunayana G. Domadia, Falgunkumar N. Thakkar, Mayank A. Ardeshana
Precise delineation of brain glioblastoma or tumor through segmentation is pivotal in the diagnosis, formulating treatment strategies, and evaluating therapeutic progress in patients. Precisely identifying brain glioblastoma within multimodal MRI scans poses a significant challenge in the field of medical image analysis as different intensity profiles are observed across the sub-regions, reflecting
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Implementation and evaluation of a dynamic contrast-enhanced MR perfusion protocol for glioblastoma using a 0.35 T MRI-Linac system Phys. Med. (IF 3.4) Pub Date : 2024-02-09 Danilo Maziero, Gregory Albert Azzam, Macarena de La Fuente, Radka Stoyanova, John Chetley Ford, Eric Albert Mellon
MRI-linear accelerator (MRI-Linac) systems allow for daily tracking of MRI changes during radiotherapy (RT). Since one common MRI-Linac operates at 0.35 T, there are efforts towards developing protocols at that field strength. In this study we demonstrate the implementation of a post-contrast 3DT1-weighted (3D-T1w) and dynamic contrast-enhancement (DCE) protocol to assess glioblastoma response to RT
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Erratum to “MO-11.2 – Explainable artificial intelligence applied to machine learning for radiomics” [Physica Medica 115S1 (2023) 102870] Phys. Med. (IF 3.4) Pub Date : 2024-02-09 C. Matteo, G. Miori, R. Maio, M. Galelli
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Ventilation perfusion functional difference images in lung SPECT: A linear and symmetrical scale as an alternative to the ventilation perfusion ratio Phys. Med. (IF 3.4) Pub Date : 2024-02-08 Robin de Nijs, Ronan M.G. Berg, Sofie Lindskov Hansen, Jann Mortensen
Ventilation Perfusion SPECT is important in the diagnostics of e.g. pulmonary embolism and chronic obstructive pulmonary disease. Classical and reverse mismatched defects can be identified by utilizing the ventilation-perfusion ratio. Unfortunately, this ratio is only linear in the ventilation, the scale is not symmetrical regarding classical and reversed mismatches and small perfusion values give
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Beam quality correction factors for ionization chambers in a 0.35 T magnetic resonance (MR)-linac – A Monte Carlo study Phys. Med. (IF 3.4) Pub Date : 2024-02-08 Ahtesham Ullah Khan, Larry A. DeWerd, Poonam Yadav
The purpose of this study was to directly calculate correction factors for four cylindrical ICs for a 0.35 T MR-linac using the Monte Carlo (MC) method. A previously-validated TOPAS/GEANT4 MC head model of the 0.35 T MR-linac was employed. The MR-compatible Exradin A12, A1SL, A26, and A28 cylindrical ICs were modeled considering the dead volume in the air cavity. The correction factor was determined
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Typical values of z-resolution for different Digital Breast Tomosynthesis systems evaluated in a multicenter study Phys. Med. (IF 3.4) Pub Date : 2024-02-06 S. Dalmonte, P. Golinelli, N. Oberhofer, S. Strocchi, V. Rossetti, L. Berta, M. Porzio, L. Angelini, N. Paruccini, R. Villa, M. Bertolini, S. Delle Canne, M. Cavallari, L. D'Ercole, G. Guerra, R. Rosasco, B. Cannillo, A. D'Alessio, E. Di Nicola, D. Origgi, P. De Marco, A. Maldera, C. Scabbio, F. Rottoli, R. Castriconi, E. Lorenzini, G. Pasquali, F. Pietrobon, P. Bregant, G. Giovannini, V. Favuzza,
The aim of the present study, conducted by a working group of the Italian Association of Medical Physics (AIFM), was to define typical z-resolution values for different digital breast tomosynthesis (DBT) models to be used as a reference for quality control (QC). Currently, there are no typical values published in internationally agreed QC protocols. To characterize the z-resolution of the DBT models
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Feasibility of noise-reduction reconstruction technology based on non-local-mean principle in SiPM-PET/CT Phys. Med. (IF 3.4) Pub Date : 2024-02-06 Yuya Shirakawa, Norikazu Matsutomo, Jumpei Suyama
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Improved outcome models with denoising diffusion Phys. Med. (IF 3.4) Pub Date : 2024-02-06 D. Dudas, T.J. Dilling, I. El Naqa
Radiotherapy outcome modelling often suffers from class imbalance in the modelled endpoints. One of the main options to address this issue is by introducing new synthetically generated datapoints, using generative models, such as Denoising Diffusion Probabilistic Models (DDPM). In this study, we implemented DDPM to improve performance of a tumor local control model, trained on imbalanced dataset, and
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Introduction and commissioning of the IQM for patient-specific quality assurance Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Dion Conlon, Peter Woulfe
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Implementing from first principles gender-dependent radiotherapy Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Maryam Akhtarini
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Theoretical and experimental assessment of the benefits and limitations of moving from 1.5 T to 3 T MRI Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ciara Hutchinson, Michael Kelly, Alan Stone
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Evaluation of CTV to PTV expansion of prostate patients in Cork University Hospital Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Michael Roche, Christopher Walker, Michael Moran
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Novel dose reduction strategies in medical imaging a comparison of three case studies Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Peter Conneely, Aine Binchy, Trish Galvin
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Effective radiopharmaceutical preparations for the labelling of technetium-99m in gastric emptying scans, a review Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Devon Keogh, Caroline Banahan, Eamon Loughman, Susan Maguire
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The impact of digital PET on radiation protection requirements in PET\CT facilities Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Eamon Loughman, Susan Maguire, Paul Hastings, Caroline Banahan
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Experience participating in SABR quality assurance and benchmarking delivered by the UK Radiotherapy Trials Quality Assurance (RTTQA) Group Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Michael Roche, Eamonn Hayes, R.B. Ezhilalan, Carol McGibney, Faisal Jamaluddin, Suzanne Kelleher, Ciara Hegarty, Kylie Robbie, Gillian McNamara, Helen Fahy, Paul Collins, Darren Coen, Christopher Walker, Eoin McGrath, Joanne O'Dwyer
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Optimisation of barium swallows in naas general hospital (NGH) Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Anna-May Woods
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Stimulating Success: Investigation into the accuracy of ROSA robot-assisted lead placement for deep brain stimulation Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ciara Hutchinson, Michael O'Neill, Catherine Moran, Jessica Fitzpatrick
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Dosimetric comparison of clinical plans re-calculated using V11 and V16 of Varian AAA algorithm Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ellen Baker
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Reduction of Patient Specific Quality Assurance (PSQA) using complexity metrics Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Kieren McAuley, Daniel Foley
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Virtual dose distributions as a tool for testing gamma analysis software Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Paul O'Connor, Patrick McCavana
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The application of artificial intelligence algorithms for the generation of synthetic medical imaging data Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Paul Banahan, Peter MacMahon
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Can we optimise image quality of an inherently high contrast clinical x-ray from a simple measurement using a readily available test object? Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Clare Devery, Dervil Cody, Lorna Sweetman
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Optimisation in intraoral (IO) radiography: A whole system approach to achieving quality IO images Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Clare Devery, Mandy Lewis, Mary Hurley, Margarete McGuigan
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Development and use of a 3D-printed anthropomorphic head phantom for optimisation of Neuro-radiological procedures Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ruth Bridcut, Andrew Whelan, Wayne Morton, Monika Jakimowicz, Thomas Heary
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The dependence of fetal dose estimation on patient size, scanner and protocol: A comparison of CT fetal dose calculation softwares Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Nina McWilliams, Niamh McArdle, Alan Stone, Jackie McCavana, Susan Collins, Sean Cournane
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Optimization of the concentration of Iodine used for visualization of gastrointestinal bleeds with interventional CBCT Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Sinead Ryan, Sean Cournane, Nina McWilliams, Jackie McCavana
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A multi-institutional evaluation of a novel 3D-printed phantom for 6DoF quality assurance checks Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Hannah Marshall, Gordon Sands, Ciaran Malone, Catharine Clark, Tamil Selvan, Raymond King, Conor McGarry, Reem Ahmad, Mariana Bento, Catarina Veiga
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Initial experience in establishing a national 177Lu peptide receptor radionuclide therapy (PRRT) service Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ann McCann, Niamh McArdle, Nicola Hughes, Josh Nograles, Avril Mogan, Matthew Reade, Darragh McCague, Jackie McCavana
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Optimisation of CT in nuclear medicine for SPECT/CT parathyroid imaging Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Aine Matthews, Maria Dooley
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The effects of scatter radiation and respiratory motion on Lung Shunt Fraction (LSF) quantification Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Darragh McCague
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Error detection capabilities of diode detector arrays in SABR patient specific QA Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Mark Tutty, Darina Hickey, Luke Rock
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Determining the factors that influence the repeatability of system projection MTF (Modulation Transfer Function) measurements in breast tomography systems Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Maireád Hyland, Mike Rowan
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Streamlining streamlines: Probabilistic versus deterministic tractography algorithms in two CE marked software packages Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Jessica Fitzpatrick, Ciara Hutchinson, Meabh Smith
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A TOPAS Monte Carlo simulated cone beam CT (CBCT) C-arm incorporating automatic exposure control (AEC): Validation with an anthropomorphic phantom Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Nina McWillaims, Joseph Perl, Jackie McCavana, Sean Cournane, Luis Leon Vintro
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The emerging role of the magnetic resonance safety expert (MRSE) in Ireland Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Michael Kelly, Alan Stone, Aaron McCann, Cormac McGrath
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Initial evaluation of the performance of novel inorganic optical fibre dosimeters using the CyberKnife system Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Majed Alharbi, Jameel Bashehab, Sultan F. Alhujaili, Saleh T. Alanezi, Ziyad A. Alrowaili, Yasir Albarakati, Mark Foley
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Skin lesion image assessments using PyRadiomics Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Dara O' Gallchobhair
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Python-based data visualisation tool for dose optimisation and DRL automation with siemens Teamplay Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Shauna Burke, Dara Murphy, Kitty Walsh
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Assessment of two commercially available CT phantoms and associated software versus in-house software Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Luke Oonan, Shauna Burke, Linda Gavigan, Dara Murphy, Brenda Byrne, David Caldwell, Paddy Gilligan, Ronan Coleman
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Phantom-based assessment of a deep-learning MR image reconstruction pipeline to inform optimisation of clinical protocols Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Michael Kelly, Colm Saidlear, Andy Moran
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AEC constancy, quality or quantity Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Jaine Nolan, Eamon Loughman, Caroline Banahan, Susan Maguire
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Optimisation of epilepsy protocols in MRI Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Luke Oonan, Lauren Lomasney, Ciara McEntee, Peter MacMahon, Emer Kenny
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A treatment planning study to compare radiotherapy delivery techniques for glioblastoma multiforme patients Phys. Med. (IF 3.4) Pub Date : 2024-02-05 James Murphy, Cormac Small, Margaret Moore
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Evaluating the feasibility of Compton imaging towards improved spatial resolution and reduced patient dose in nuclear medicine Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Bill Kamtchou, Sean Cournane, Luis Leon Vintro
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Hybrid 3D-IMRT breast planning and its use at UPMC whitfield cancer centre Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ian Owens
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A technique for creating wedge-shaped isodose distributions using multileaf collimators in the Monaco treatment planning system Phys. Med. (IF 3.4) Pub Date : 2024-02-05 David Connolly, Ezhilalan Ramalingam