Non-invasive photo acoustic approach for human bone diagnosis

被引:7
作者
Thella, Ashok Kumar [2 ]
Rizkalla, James [1 ]
Helmy, Ahdy [1 ]
Suryadevara, Vinay Kumar [2 ]
Salama, Paul [2 ]
Rizkalla, Maher [2 ,3 ]
机构
[1] Indiana Univ, Sch Med, Bloomington, IN 47405 USA
[2] Indiana Univ Purdue Univ Indianapolis, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA
[3] IUPUI, Integrated Nanosyst Dev Inst NDI, Indianapolis, IN USA
关键词
Photo acoustic tomography- PAT; PA; Diagnosis; Ortho; COMSOL;
D O I
10.1016/j.jor.2016.07.004
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
The existing modalities of bone diagnosis including X-ray and ultrasound may cite drawback in some cases related to health issues and penetration depth, while the ultrasound modality may lack image quality. Photo acoustic approach however, provides light energy to the acoustic wave, enabling it to activate and respond according to the propagating media (which is type of bones in this case). At the same time, a differential temperature change may result in the bio heat response, resulting from the heat absorbed across the multiple materials under study. In this work, we have demonstrated the features of using photo acoustic modality in order to non-invasively diagnose the type of human bones based on their electrical, thermal, and acoustic properties that differentiate the output response of each type. COMSOL software was utilized to combine both acoustic equations and bio heat equations, in order to study both the thermal and acoustic responses through which the differential diagnosis can be obtained. In this study, we solved both the acoustic equation and bio heat equations for four types of bones, bone (cancellous), bone (cortical), bone marrow (red), and bone marrow (yellow). 1 MHz acoustic source frequency was chosen and 10(5) W/m(2) power source was used in the simulation. The simulation tested the dynamic response of the wave over a distance of 5 cm from each side for the source. Near 2.4 cm was detected from simulation from each side of the source with a temperature change of within 0.5 K for various types of bones, citing a promising technique for a practical model to detect the type of bones via the differential temperature as well as the acoustic was response via the multiple materials associated with the human bones (skin and blood). The simulation results suggest that the PA technique may be applied to non-invasive diagnosis for the different types of bones, including cancerous bones. A practical model for detecting both the temperature change via IR sensors, and acoustic wave signals may be detected via sensitive pressure transducer, which is reserved for future realization. (C) 2016 Prof. PK Surendran Memorial Education Foundation. Published by Elsevier, a division of RELX India, Pvt. Ltd. All rights reserved.
引用
收藏
页码:394 / 400
页数:7
相关论文
共 50 条
[31]   CIRCULATING miRNAs - A POTENTIAL NON-INVASIVE BIOMARKER FOR DIAGNOSIS OF ENDOMETRIOSIS [J].
Spasova, Victoria ;
Hammoudeh, Zora ;
Antonova, Olga ;
Koleva, Liliya ;
Toncheva, Draga ;
Hadjidekova, Savina ;
Kolev, Anatoli ;
Hristova, Diana ;
Pencheva, Ventsisava ;
Hitrova, Stanislava ;
Sokolov, Manol ;
Korunoski, Dejan ;
Petkova, Valentina ;
Dimitrov, Milen ;
Nikolova, Silvia ;
Karamisheva, Vesela .
COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, 2024, 77 (12) :1808-1816
[32]   Is bone marrow examination always necessary to establish the diagnosis of myelodysplastic syndromes? A proposed non-invasive diagnostic model [J].
Oster, Howard S. ;
Carmi, Gal ;
Kolomansky, Alex ;
Joffe, Erel ;
Kaye, Irit ;
Kirgner, Ilya ;
Greenbaum, Uri ;
Comaneshter, Doron ;
Mittelman, Moshe .
LEUKEMIA & LYMPHOMA, 2018, 59 (09) :2227-2232
[33]   Non-Invasive Machine Learning-Based Classification of Bone Health [J].
Bhise, Sanvi Pranav ;
Havaldar, Raviraj .
TRAITEMENT DU SIGNAL, 2022, 39 (05) :1695-1702
[34]   NON-INVASIVE IMAGING Non-invasive assessment of coronary artery disease in diabetes [J].
Van de Veire, Nico R. ;
Djaberi, Roxana ;
Schuijf, Joanne D. ;
Bax, Jeroen J. .
HEART, 2010, 96 (07) :560-572
[35]   Non-Invasive molecular dengue virus 1 diagnosis in saliva is possible [J].
Poitevin, Carolina Gracia ;
Royer, Carla Adriane ;
Bonatto, Ana Claudia ;
Rodrigues, Cristina de Oliveira ;
Peiter, Gabrielle Caroline ;
Brandalize, Ana Paula Carneiro ;
Rocha, Alexia Cristine Oliveira ;
Brockmann, Carolina Langaro ;
Araujo, Gabriela Bravim de ;
Cavagnoli, Giovanna Lourenco ;
Simardo, Ingrid Vitoria ;
Gasparim, Valentina Miotto ;
da Cunha, Regiane Stafim ;
Pereira, Vanessa Crocetti ;
Ramos, Edneia Amancio de Souza ;
Cardoso, Pedro Henrique ;
Arruda, Monica Barcellos ;
Baptista, Patricia Alvarez da Silva ;
de Souza, Emanuel Maltempi ;
Gradia, Daniela Fiori ;
de Oliveira, Jaqueline Carvalho .
DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE, 2025, 113 (02)
[36]   Review article:: non-invasive methods for the diagnosis of Helicobacter pylori infection [J].
Zagari, RM ;
Bazzoli, F ;
Pozzato, P ;
Fossi, S ;
De Luca, L ;
Nicolini, G ;
Berretti, D ;
Roda, E .
ITALIAN JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 1999, 31 (05) :408-415
[37]   Novel approaches to the non-invasive diagnosis of coronary-artery disease [J].
Moshage, W ;
Achenbach, S ;
Daniel, WG .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2001, 16 (01) :21-28
[38]   Non-invasive diagnosis and monitoring of actinic cheilitis with reflectance confocal microscopy [J].
Ulrich, M. ;
Gonzalez, S. ;
Lange-Asschenfeldt, B. ;
Roewert-Huber, J. ;
Sterry, W. ;
Stockfleth, E. ;
Astner, S. .
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY, 2011, 25 (03) :276-284
[39]   Non-invasive biomarkers for gastric cancer diagnosis: ready for prime time? [J].
Ribaldone, Davide G. ;
Simondi, Daniele ;
Petrini, Elisa ;
Astegiano, Marco ;
Durazzo, Marilena .
MINERVA BIOTECNOLOGICA, 2019, 31 (01) :3-10
[40]   The role of non-invasive dynamic tests in the diagnosis of Cushing’s syndrome [J].
L. Vilar ;
M. C. Freitas ;
L. A. Naves ;
V. Canadas ;
J. L. Albuquerque ;
C. A. Botelho ;
C. S. Egito ;
M. J. Arruda ;
L. M. Silva ;
C. M. Arahata ;
R. Agra ;
L. H. C. Lima ;
M. Azevedo ;
L. A. Casulari .
Journal of Endocrinological Investigation, 2008, 31 :1008-1013