Thermal simulation of the lower limb in vascular medicine: A proof-of-concept by using computed tomography images

被引:0
|
作者
Pakarinen, Tomppa [1 ,2 ]
Hakala, Eko [1 ]
Arponen, Otso [3 ,4 ]
Kuokkanen, Emppu [1 ]
Oksala, Niku [5 ]
Vehkaoja, Antti [1 ]
机构
[1] Tampere Univ, Fac Med & Hlth Technol, Tampere, Finland
[2] Tampere Univ Hosp, Dept Med Phys, Wellbeing Serv Cty Pirkanmaa, Tampere, Finland
[3] Wellbeing Serv Cty Pirkanmaa, Dept Radiol, Tampere, Finland
[4] Univ Eastern Finland, Inst Clin Med, Kuopio, Finland
[5] Wellbeing Serv Cty Pirkanma, Ctr Vasc Surg & Intervent Radiol, Tampere, Finland
关键词
Thermal simulation; Modeling; Blood flow; Finite-element method; MONTE-CARLO; ANGIOSOME; TEMPERATURE; EQUATION; PHANTOM;
D O I
10.1016/j.medengphy.2024.104260
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Simulations of physiology based on patient-specific anatomical structures have several potential applications in medicine. A few fields, such as radiotherapy and neurophysiology already utilize such methods in clinical practice, yet a number of disciplines could benefit from similar technologies, especially when imaging data is already available. The major problem in patient-specific simulation is the data conversion to simulationcompatible form i.e., data preparation and the coupling of the underlying physics to the anatomical model. In this work we present such a methodology in the context of vascular medicine, consisting of a three-dimensional blood flow-temperature simulation model of the lower limb built from computed tomography data. We also simulate a clinical condition of chronic limb-threatening ischemia, a severe complication of peripheral arterial disease. This proof-of-concept model simulates the limb's surface temperature with respect to the vascular structure. The methodology, depicting accurate patient anatomy, is a promising step towards individualized physiological simulations in vascular medicine, although more research and validation are required. Such a model could eventually outline a deeper understanding of the relation between vascular changes and peripheral thermal behavior.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept
    Benjamin Shields
    Prabhakar Ramachandran
    Physical and Engineering Sciences in Medicine, 2023, 46 : 1321 - 1330
  • [42] Pathological Changes in the Lymphatic System of Patients with Secondary Lower Limb Lymphedema Based on Single Photon-Emission Computed Tomography/Computed Tomography/Lymphoscintigraphy Images
    Fujiyoshi, Takahiro
    Mikami, Taro
    Hashimoto, Koukichi
    Asano, Saori
    Adachi, Eiko
    Kagimoto, Shintaro
    Yabuki, Yuichiro
    Kitayama, Shinya
    Matsubara, Shinobu
    Maegawa, Jiro
    Iwai, Toshinori
    Ishibe, Atsushi
    Miyagi, Etsuko
    Kaneta, Tomohiro
    LYMPHATIC RESEARCH AND BIOLOGY, 2022, 20 (02) : 144 - 152
  • [43] A Proof-of-Concept System Dynamics Simulation Model of the Development of Burnout and Recovery Using Retrospective Case Data
    Veldhuis, Guido A.
    Sluijs, Teun
    van Zwieten, Marianne H. J.
    Bouwman, Jildau
    Wiezer, Noortje M.
    Wortelboer, Heleen M.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (16) : 1 - 28
  • [44] Deep learning in sex estimation from a peripheral quantitative computed tomography scan of the fourth lumbar vertebra-a proof-of-concept study
    Oura, Petteri
    Korpinen, Niina
    Machnicki, Allison L.
    Junno, Juho-Antti
    FORENSIC SCIENCE MEDICINE AND PATHOLOGY, 2023, 19 (04) : 534 - 540
  • [45] Beyond histology for assessment of joint degeneration: Proof-of-concept for contrast-enhanced micro-computed tomography in lumbar facet joints
    Geurts, J.
    Netzer, C. N.
    Scharen, S.
    Hugle, T.
    SWISS MEDICAL WEEKLY, 2019, : 19S - 19S
  • [46] Identifying pregnancy in cows using ovarian ultrasound images and convolutional neural networks-a proof-of-concept study
    Andrade, Andre Cascalho
    da Silva, Luan Oliveira
    Souza, Victor Ferreira
    Rufino, Luana Marta de Almeida
    da Silva, Tadeu Eder
    dos Santos, Adam Dreyton Ferreira
    Gomes, Diego de Azevedo
    Rodrigues, Joao Paulo Pacheco
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 206
  • [47] Prediction of pathological fracture in patients with lower limb bone metastasis using computed tomography imaging
    Yusuke Shinoda
    Ryoko Sawada
    Yuki Ishibashi
    Toru Akiyama
    Liuzhe Zhang
    Toshihide Hirai
    Hiroyuki Oka
    Takahiro Ohki
    Masachika Ikegami
    Koichi Okajima
    Tomotake Okuma
    Hiroshi Kobayashi
    Takahiro Goto
    Nobuhiko Haga
    Sakae Tanaka
    Clinical & Experimental Metastasis, 2020, 37 : 607 - 616
  • [48] Reliability of the assessment of lower limb torsion using computed tomography: analysis of five different techniques
    Liodakis, Emmanouil
    Doxastaki, Iosifina
    Chu, Kongfai
    Krettek, Christian
    Gaulke, Ralph
    Citak, Musa
    Kenawey, Mohamed
    SKELETAL RADIOLOGY, 2012, 41 (03) : 305 - 311
  • [49] Prediction of pathological fracture in patients with lower limb bone metastasis using computed tomography imaging
    Shinoda, Yusuke
    Sawada, Ryoko
    Ishibashi, Yuki
    Akiyama, Toru
    Zhang, Liuzhe
    Hirai, Toshihide
    Oka, Hiroyuki
    Ohki, Takahiro
    Ikegami, Masachika
    Okajima, Koichi
    Okuma, Tomotake
    Kobayashi, Hiroshi
    Goto, Takahiro
    Haga, Nobuhiko
    Tanaka, Sakae
    CLINICAL & EXPERIMENTAL METASTASIS, 2020, 37 (05) : 607 - 616
  • [50] Anthropological Measurement of Lower Limb and Foot Bones Using Multi-Detector Computed Tomography
    Robinson, Claire
    Eisma, Roos
    Morgan, Bruno
    Jeffery, Amanda
    Graham, Eleanor A. M.
    Black, Sue
    Rutty, Guy N.
    JOURNAL OF FORENSIC SCIENCES, 2008, 53 (06) : 1289 - 1295