Shusharina, Nadya Liu, Xiaofeng Coll-Font, Jaume Foster, Anna El Fakhri, Georges Woo, Jonghye Bortfeld, Thomas Nguyen, Christopher
Published in
Physics in Medicine & Biology
Objective. Soft-tissue sarcoma spreads preferentially along muscle fibers. We explore the utility of deriving muscle fiber orientations from diffusion tensor MRI (DT-MRI) for defining the boundary of the clinical target volume (CTV) in muscle tissue. Approach. We recruited eight healthy volunteers to acquire MR images of the left and right thigh. T...
Cui, Yunfeng Yin, Fang-Fang
Published in
Physics in Medicine & Biology
Radiomics features extracted from medical images have been widely reported to be useful in the patient specific outcome modeling for variety of assessment and prediction purposes. Successful application of radiomics features as imaging biomarkers, however, is dependent on the robustness of the approach to the variation in each step of the modeling ...
Levy, Benjamin E Oldenburg, Amy L
Published in
Physics in Medicine & Biology
Objective. An ultrasound-based system capable of both imaging thrombi against a dark field and performing quantitative elastometry could allow for fast and cost-effective thrombosis diagnosis, staging, and treatment monitoring. This study investigates a contrast-enhanced approach for measuring the Young’s moduli of thrombus-mimicking phantoms. Appr...
Fourcade, Constance Ferrer, Ludovic Moreau, Noémie Santini, Gianmarco Brennan, Aislinn Rousseau, Caroline Lacombe, Marie Fleury, Vincent Colombié, Mathilde Jézéquel, Pascal
...
Published in
Physics in Medicine & Biology
Objective. This paper proposes a novel approach for the longitudinal registration of PET imaging acquired for the monitoring of patients with metastatic breast cancer. Unlike with other image analysis tasks, the use of deep learning (DL) has not significantly improved the performance of image registration. With this work, we propose a new registrat...
Kazemi Kozani, Majid Magiera, Andrzej
Published in
Physics in Medicine & Biology
Objective. Online monitoring of dose distribution in proton therapy is currently being investigated with the detection of prompt gamma (PG) radiation emitted from a patient during irradiation. The SiPM and scintillation Fiber based Compton Camera (SiFi-CC) setup is being developed for this aim. Approach. A machine learning approach to recognize Com...
Altabella, Luisa Benetti, Giulio Camera, Lucia Cardano, Giuseppe Montemezzi, Stefania Cavedon, Carlo
Published in
Physics in Medicine & Biology
In the artificial intelligence era, machine learning (ML) techniques have gained more and more importance in the advanced analysis of medical images in several fields of modern medicine. Radiomics extracts a huge number of medical imaging features revealing key components of tumor phenotype that can be linked to genomic pathways. The multi-dimensio...
Roser, J Barrientos, L Bernabéu, J Borja-Lloret, M Muñoz, E Ros, A Viegas, R Llosá, G
Published in
Physics in Medicine & Biology
Objective. To demonstrate the benefits of using an joint image reconstruction algorithm based on the List Mode Maximum Likelihood Expectation Maximization that combines events measured in different channels of information of a Compton camera. Approach. Both simulations and experimental data are employed to show the algorithm performance. Main resul...
Fujimoto, Koya Shiinoki, Takehiro Yuasa, Yuki Kawazoe, Yusuke Yamane, Masatoshi Sera, Tatsuhiro Tanaka, Hidekazu
Published in
Physics in Medicine & Biology
Objective. This study aimed to produce a three-dimensional liver elasticity map using the finite element method (FEM) and respiration-induced motion captured by T1-weighted magnetic resonance images (FEM-E-map) and to evaluate whether FEM-E-maps can be an imaging biomarker comparable to magnetic resonance elastography (MRE) for assessing the distri...
Kandarpa, V S S Perelli, Alessandro Bousse, Alexandre Visvikis, Dimitris
Published in
Physics in Medicine & Biology
Objective. Sparse-view computed tomography (CT) reconstruction has been at the forefront of research in medical imaging. Reducing the total x-ray radiation dose to the patient while preserving the reconstruction accuracy is a big challenge. The sparse-view approach is based on reducing the number of rotation angles, which leads to poor quality reco...
Fujiwara, Daiyu Shimomura, Taisei Zhao, Wei Li, Kai-Wen Haga, Akihiro Geng, Li-Sheng
Published in
Physics in Medicine & Biology
Objective. Material decomposition (MD) evaluates the elemental composition of human tissues and organs via computed tomography (CT) and is indispensable in correlating anatomical images with functional ones. A major issue in MD is inaccurate elemental information about the real human body. To overcome this problem, we developed a virtual CT system ...
