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  1. Book ; Online: Continuum modeling perspectives of non-Fourier heat conduction in biological systems

    Sudár, Ákos / Futaki, Gergely / Kovács, Róbert

    2021  

    Abstract: The thermal modeling of biological systems has increasing importance in developing more advanced, more precise techniques such as ultrasound surgery. One of the primary barriers is the complexity of biological materials: the geometrical, structural, and ... ...

    Abstract The thermal modeling of biological systems has increasing importance in developing more advanced, more precise techniques such as ultrasound surgery. One of the primary barriers is the complexity of biological materials: the geometrical, structural, and material properties vary in a wide range, and they depend on many factors. Despite these difficulties, there is a tremendous effort to develop a reliable and implementable thermal model. In the present paper, we focus on the continuum modeling of heterogeneous materials with biological origin. There are numerous examples in the literature for non-Fourier thermal models. However, as we realized, they are associated with a few common misconceptions. Therefore, we first aim to clarify the basic concepts of non-Fourier thermal models. These concepts are demonstrated by revisiting two experiments from the literature in which the Cattaneo-Vernotte and the dual phase lag models are utilized. Our investigation revealed that using these non-Fourier models is based on misinterpretations of the measured data, and the seeming deviation from Fourier's law originates in the source terms and boundary conditions.
    Keywords Physics - Classical Physics ; Physics - Applied Physics ; Physics - Biological Physics
    Subject code 621
    Publishing date 2021-01-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Exploration of differentiability in a proton computed tomography simulation framework.

    Aehle, Max / Alme, Johan / Gábor Barnaföldi, Gergely / Blühdorn, Johannes / Bodova, Tea / Borshchov, Vyacheslav / van den Brink, Anthony / Eikeland, Viljar / Feofilov, Gregory / Garth, Christoph / Gauger, Nicolas R / Grøttvik, Ola / Helstrup, Håvard / Igolkin, Sergey / Keidel, Ralf / Kobdaj, Chinorat / Kortus, Tobias / Kusch, Lisa / Leonhardt, Viktor /
    Mehendale, Shruti / Ningappa Mulawade, Raju / Harald Odland, Odd / O'Neill, George / Papp, Gábor / Peitzmann, Thomas / Pettersen, Helge Egil Seime / Piersimoni, Pierluigi / Pochampalli, Rohit / Protsenko, Maksym / Rauch, Max / Ur Rehman, Attiq / Richter, Matthias / Röhrich, Dieter / Sagebaum, Max / Santana, Joshua / Schilling, Alexander / Seco, Joao / Songmoolnak, Arnon / Sudár, Ákos / Tambave, Ganesh / Tymchuk, Ihor / Ullaland, Kjetil / Varga-Kofarago, Monika / Volz, Lennart / Wagner, Boris / Wendzel, Steffen / Wiebel, Alexander / Xiao, RenZheng / Yang, Shiming / Zillien, Sebastian

    Physics in medicine and biology

    2023  Volume 68, Issue 24

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Computer Simulation ; Protons ; Phantoms, Imaging ; Tomography, X-Ray Computed/methods ; Software ; Algorithms ; Monte Carlo Method
    Chemical Substances Protons
    Language English
    Publishing date 2023-12-15
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ad0bdd
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  3. Article ; Online: Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter.

    Schilling, Alexander / Aehle, Max / Alme, Johan / Barnaföldi, Gergely Gábor / Bodova, Tea / Borshchov, Vyacheslav / van den Brink, Anthony / Eikeland, Viljar / Feofilov, Gregory / Garth, Christoph / Gauger, Nicolas R / Grøttvik, Ola / Helstrup, Håvard / Igolkin, Sergey / Keidel, Ralf / Kobdaj, Chinorat / Kortus, Tobias / Leonhardt, Viktor / Mehendale, Shruti /
    Ningappa Mulawade, Raju / Harald Odland, Odd / O'Neill, George / Papp, Gábor / Peitzmann, Thomas / Pettersen, Helge Egil Seime / Piersimoni, Pierluigi / Protsenko, Maksym / Rauch, Max / Ur Rehman, Attiq / Richter, Matthias / Röhrich, Dieter / Santana, Joshua / Seco, Joao / Songmoolnak, Arnon / Sudár, Ákos / Tambave, Ganesh / Tymchuk, Ihor / Ullaland, Kjetil / Varga-Kofarago, Monika / Volz, Lennart / Wagner, Boris / Wendzel, Steffen / Wiebel, Alexander / Xiao, RenZheng / Yang, Shiming / Zillien, Sebastian

    Physics in medicine and biology

    2023  Volume 68, Issue 19

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Proton Therapy ; Uncertainty ; Protons ; Machine Learning ; Neural Networks, Computer
    Chemical Substances Protons
    Language English
    Publishing date 2023-09-20
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/acf5c2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Book ; Online: Exploration of Differentiability in a Proton Computed Tomography Simulation Framework

    Aehle, Max / Alme, Johan / Barnaföldi, Gergely Gábor / Blühdorn, Johannes / Bodova, Tea / Borshchov, Vyacheslav / Brink, Anthony van den / Eikeland, Viljar / Feofilov, Gregory / Garth, Christoph / Gauger, Nicolas R. / Grøttvik, Ola / Helstrup, Håvard / Igolkin, Sergey / Keidel, Ralf / Kobdaj, Chinorat / Kortus, Tobias / Kusch, Lisa / Leonhardt, Viktor /
    Mehendale, Shruti / Mulawade, Raju Ningappa / Odland, Odd Harald / O'Neill, George / Papp, Gábor / Peitzmann, Thomas / Pettersen, Helge Egil Seime / Piersimoni, Pierluigi / Pochampalli, Rohit / Protsenko, Maksym / Rauch, Max / Rehman, Attiq Ur / Richter, Matthias / Röhrich, Dieter / Sagebaum, Max / Santana, Joshua / Schilling, Alexander / Seco, Joao / Songmoolnak, Arnon / Sudár, Ákos / Tambave, Ganesh / Tymchuk, Ihor / Ullaland, Kjetil / Varga-Kofarago, Monika / Volz, Lennart / Wagner, Boris / Wendzel, Steffen / Wiebel, Alexander / Xiao, RenZheng / Yang, Shiming / Zillien, Sebastian

    2022  

    Abstract: Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulations. However, the effectiveness of AD depends on how "well-linearizable" ... ...

    Abstract Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulations. However, the effectiveness of AD depends on how "well-linearizable" the software is. In this study, we assess how promising derivative information of a typical proton computed tomography (pCT) scan computer simulation is for the aforementioned applications. Approach. This study is mainly based on numerical experiments, in which we repeatedly evaluate three representative computational steps with perturbed input values. We support our observations with a review of the algorithmic steps and arithmetic operations performed by the software, using debugging techniques. Main results. The model-based iterative reconstruction (MBIR) subprocedure (at the end of the software pipeline) and the Monte Carlo (MC) simulation (at the beginning) were piecewise differentiable. Jumps in the MBIR function arose from the discrete computation of the set of voxels intersected by a proton path. Jumps in the MC function likely arose from changes in the control flow that affect the amount of consumed random numbers. The tracking algorithm solves an inherently non-differentiable problem. Significance. The MC and MBIR codes are ready for the integration of AD, and further research on surrogate models for the tracking subprocedure is necessary.

    Comment: 27 pages, 11 figures
    Keywords Physics - Medical Physics ; Computer Science - Mathematical Software
    Subject code 000
    Publishing date 2022-02-11
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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