Article
Radiology, Nuclear Medicine & Medical Imaging
Jin Liu, Jian-Di Chen, Ping Li, Jian-Wei Liao, Jia-Xin Feng, Zi-Yang Chen, Zhi-Yuan Cai, Wei Li, Xiao-Jun Chen, Zhi-Hai Su, Hai Lu, Shao-Lin Li, Ya-Jun Ma
Summary: Compositional MR imaging technique can comprehensively assess osteoporosis in the lumbar spine by quantifying proton fractions for water components and showing good clinical diagnostic capability.
EUROPEAN RADIOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Jingnan Cui, Cheng Lei Liu, Rachid Jennane, Songtao Ai, Kerong Dai, Tsung-Yuan Tsai
Summary: This study proposed a new method for radiographic diagnosis of osteoporosis, using features such as multiscale fractal, lacunarity, and entropy distributions for classification. The method achieved high accuracy and sensitivity in testing.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Annamaria Zaia, Pierluigi Maponi, Manuela Sallei, Roberta Galeazzi, Pietro Scendoni
Summary: An MRI method is being studied as a new tool for the early diagnosis of bone fragility fracture by providing a parameter (TBL beta) that is sensitive to changes in trabecular bone architecture (TBA) with aging and osteoporosis. A cross-sectional and prospective observational study on women at risk for bone fragility fracture was conducted to validate this method, and it was found that TBL beta can serve as an index of treatment efficacy in osteoporosis.
Article
Orthopedics
Annamaria Zaia, Roberto Rossi, Roberta Galeazzi, Manuela Sallei, Pierluigi Maponi, Pietro Scendoni
Summary: This study aims to assess the potential of the TBL beta method as a tool for osteoporotic fracture risk by characterizing trabecular bone microarchitecture using high-resolution MRI. The results show that TBL beta is able to effectively discriminate patients with/without prevalent VF and has a higher contribution to prevalent VF compared to BMD.
BMC MUSCULOSKELETAL DISORDERS
(2021)
Article
Engineering, Electrical & Electronic
Soraya Zehani, Abdeldjalil Ouahabi, Mourad Oussalah, Malika Mimi, Abdelmalik Taleb-Ahmed
Summary: This paper proposed a new technique for trabecular bone characterization using fractal analysis of X-Ray and MRI texture images, which showed high discrimination ability and successfully separated healthy and pathological bone tissues through comparative statistical analysis.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2021)
Article
Mathematics, Interdisciplinary Applications
Li Li, Yang Zhang, Yuqiong Shi, Zhigang Xue, Mingli Cao
Summary: The surface cracking and fractal characteristics of calcium carbonate whisker-reinforced cement pastes subjected to high temperatures were studied. The results showed that the crack area, length, and fractal dimension increased with temperature. The decomposition of chemical substances in the specimen led to a more significant growth of cracks at temperatures above 900 degrees Celsius. The area and fractal dimension of cracks were less affected by the size and shape of the specimen.
FRACTAL AND FRACTIONAL
(2022)
Article
Engineering, Biomedical
Davide Porrelli, Michela Abrami, Patrizia Pelizzo, Cristina Formentin, Chiara Ratti, Gianluca Turco, Mario Grassi, Gianluca Canton, Gabriele Grassi, Luigi Murena
Summary: The study of bone morphology is essential for understanding bone diseases and mechanical properties, and traditional diagnostic techniques lack qualitative and quantitative information. In recent years, new technologies like CT and MRI have been used to study bone structure and porosity. Unlike micro-CT, LF-NMR is able to detect significant differences in trabecular bone porosity between osteoporotic and osteoarthritic patients.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2022)
Article
Multidisciplinary Sciences
Ji-Hun Jung, Kyung-Hoe Huh, Tae-Hoon Yong, Ju-Hee Kang, Jo-Eun Kim, Won-Jin Yi, Min-Suk Heo, Sam-Sun Lee
Summary: Microarchitectural analysis, especially the degree of anisotropy, could be useful for detecting trabecular alterations induced by osteosarcoma and differentiating osteosarcoma from osteomyelitis.
SCIENTIFIC REPORTS
(2022)
Article
Mathematics, Interdisciplinary Applications
Zeno Dorian Ghizdavet, Adrian Volceanov, Eniko Volceanov
Summary: Alumina ceramics were synthesized using three different alumina sources, various rare-earth dopants and concentration levels, and different synthesizing routes. Measurements of absorption and density were taken, resulting in a complex database. Principal Component Analysis was used to deduce relationships between variables and observations. Scanning Electron Microscopy images were processed and analyzed using Fractal Dimension to quantify microstructural features. The results showed correlations between processing method, dopant type, and microstructural features.
FRACTAL AND FRACTIONAL
(2023)
Article
Green & Sustainable Science & Technology
Ivica Pavicic, Zlatko Brisevac, Anja Vrbaski, Tonci Grgasovic, Zeljko Duic, Deni Sijak, Ivan Dragicevic
Summary: In this study, the geometric characterization of microporosity in the Upper Triassic dolomites of the Zumberak Mts (Croatia) was presented through thin-section image processing and particle analysis techniques. Pore parameters were analyzed on microphotographs, showing parameters quantifying pore irregularities have similar distributions, implying high complexity of pore geometry with potential impact on permeability.
Article
Dentistry, Oral Surgery & Medicine
Ilknur Eninanc, Zeynep coban Buyukbayraktar
Summary: FD measurements from hand-wrist radiographs are correlated with cervical vertebral radiographs and skeletal maturation stages, making them useful for assessing skeletal maturation stage.
Article
Energy & Fuels
Jingjing Liu, Ruihang Liu, Haoxiang Zhang, He Jiang, Qiqi Kou, Deqiang Cheng, Jiansheng Qian
Summary: A new method is proposed in this paper to determine the diffusion coefficients of irregular coal particles, and a feasible solution for quantitatively assessing the influence of particle shapes on the diffusion coefficient is provided. The diffusion coefficients can be effectively obtained using image processing techniques and inverse problem-based numerical simulation. The results show that the diffusion coefficient increases with the box dimension of the contour, and the particle shape has a considerable impact on determining the gas diffusion coefficient.
Article
Engineering, Civil
Haoxiang He, Shuyu Tian, Yaoyuan Zhang
Summary: This study proposes a method based on fractal theory and image processing technology to accurately and quickly measure the cumulative damage of beam structures. By establishing the relationship between the fractal dimension of cracks and mechanical parameters, the study finds that the fractal dimension can reveal the evolution process of structural damage.
Article
Endocrinology & Metabolism
Rachel K. Surowiec, Sundaresh Ram, Djaudat Idiyatullin, Robert Goulet, Stephen H. Schlecht, Craig J. Galban, Kenneth M. Kozloff
Summary: Bone is a composite biomaterial consisting of mineral crystals, organic matrix, and water. Current reliance on ionizing X-ray for measuring bone mineral density may not adequately predict fracture risk, and the lack of imaging modality to monitor material-level changes complicates the characterization of treatment efficacy in bone diseases. MB-SWIFT MRI shows promise as a non-ionizing imaging strategy for monitoring and managing bone diseases like osteoporosis.
Article
Mathematics, Interdisciplinary Applications
Walker Arce, James Pierce, Mihaela Teodora Velcsov
Summary: The study aimed to derive a generalized fractal feature that operates without iterative box sizes or any linear regression estimators, validate it, and apply it to the classification of detailed organic images of viruses. Results indicate that the proposed method is accurate for known fractals, shows differing trends for color fractals, and can uniquely identify viruses based on their computed fractal features.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Computer Science, Interdisciplinary Applications
Diego Sainz-DeMena, Wenfeng Ye, Maria Angeles Perez, Jose Manuel Garcia-Aznar
Summary: This study introduces a diffusion-corrected model for characterizing vascular properties in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) sequences. Comparisons between the traditional model and the diffusion-corrected model on both theoretical and real tumor geometry show that the traditional model fails to accurately retrieve parameters in the presence of diffusion, while the diffusion-corrected model successfully captures the heterogeneity of vascular properties.
ENGINEERING WITH COMPUTERS
(2022)
Article
Chemistry, Physical
Pilar Alaman-Diez, Elena Garcia-Gareta, Pedro Francisco Napal, Manuel Arruebo, Maria Angeles Perez
Summary: Creating biofunctional artificial scaffolds using 3D printing can meet the demand for bone defect patients. The controlled degradation profiles of these scaffolds must be considered for tissue regeneration. The hydrolytic degradation of polymeric scaffolds made of PCL-PLGA blends was characterized under static and dynamic conditions. Flow perfusion was found to accelerate the degradation process, requiring up to 4 weeks for significant degradation.
Article
Pediatrics
Jose J. Martinez-Rodrigo, Ali Boukhoubza, Daniel Perez Enguix, Raul Garcia-Marcos, Juan J. Vila-Carbo, Anna Domenech, Cinta Sanguesa Nebot, Jimena Solana, Luis Marti-Bonmati
Summary: This study aimed to evaluate the feasibility, efficacy, and safety of TIPS placement in infants. A retrospective observational cohort study was conducted on 10 infants with chronic liver disease. The results showed that TIPS placement in infants is a feasible, safe, and effective procedure.
PEDIATRIC RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Leonor Cerda-Alberich, Jimena Solana, Pedro Mallol, Gloria Ribas, Miguel Garcia-Junco, Angel Alberich-Bayarri, Luis Marti-Bonmati
Summary: The use of artificial intelligence (AI) in medical imaging is increasing, leading to more studies and publications. The development of common standards as quality control criteria for AI developers and reviewers can improve the peer review process. The MAIC-10 checklist, which collects and simplifies relevant criteria, was implemented to assess the quality of AI studies in medical imaging.
INSIGHTS INTO IMAGING
(2023)
Article
Biochemistry & Molecular Biology
Pilar Alaman-Diez, Carlos Borau, Pedro Enrique Guerrero, Hippolyte Amaveda, Mario Mora, Jose Maria Fraile, Elena Garcia-Gareta, Jose Manuel Garcia-Aznar, Maria Angeles Perez
Summary: The extracellular matrix (ECM) plays a crucial role in the development and progression of tumoral tissue, affecting tumor cell behavior such as invasion, migration, and malignancy. Our study examines the role of collagen type I in cancer development and spread using engineered tumor models grown in collagen-based hydrogels. We utilize microfluidic techniques to investigate the effects of modifying the mechanical properties of collagen hydrogels with Laponite nanoclay and changing the stiffness of the collagen microenvironment on tumor spheroid growth. Our findings support the use of ECM components and engineered tumor models in cancer research, providing a biocompatible and biomimetic approach to tailor the mechanical properties of conventional collagen hydrogels.
Review
Radiology, Nuclear Medicine & Medical Imaging
Scott B. Reeder, Takeshi Yokoo, Manuela Franca, Diego Hernando, Angel Alberich-Bayarri, Jose Maria Alustiza, Yves Gandon, Benjamin Henninger, Claudia Hillenbrand, Kartik Jhaveri, Musturay Karcaaltincaba, Jens-Peter Kuehn, Amirkasra Mojtahed, Suraj D. Serai, Richard Ward, John C. Wood, Jin Yamamura, Luis Marti-Bonmati
Summary: Accumulation of excess iron in the body, or systemic iron overload, has various causes. Quantification of liver iron concentration (LIC) using magnetic resonance imaging (MRI) is widely regarded as the best surrogate to assess total body iron. Although multiple MRI strategies have been developed, there is a lack of consensus regarding their appropriate use. This article aims to summarize the current clinical use of MRI to quantify liver iron content and provide expert consensus panel recommendations for best practices.
Article
Oncology
Diana Veiga-Canuto, Leonor Cerda-Alberich, Ana Jimenez-Pastor, Jose Miguel Carot Sierra, Armando Gomis-Maya, Cinta Sanguesa-Nebot, Matias Fernandez-Paton, Blanca Martinez de las Heras, Sabine Taschner-Mandl, Vanessa Duester, Ulrike Poetschger, Thorsten Simon, Emanuele Neri, Angel Alberich-Bayarri, Adela Canete, Barbara Hero, Ruth Ladenstein, Luis Marti-Bonmati
Summary: A deep learning model for tumor segmentation was developed and validated with a large heterogeneous dataset, demonstrating its ability to accurately locate and segment neuroblastic tumors.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Luis Marti-Bonmati
INSIGHTS INTO IMAGING
(2023)
Article
Polymer Science
Karinna Georgiana Pele, Hippolyte Amaveda, Mario Mora, Carlos Marcuello, Anabel Lostao, Pilar Alaman-Diez, Salvador Perez-Huertas, Maria Angeles Perez, Jose Manuel Garcia-Aznar, Elena Garcia-Gareta
Summary: This study explores the potential of chicken egg white and gelatin-based materials in tissue engineering and regenerative medicine applications. The results demonstrate that these mixed materials can be used to create 2D films, miniaturized 3D hydrogels in microfluidic devices, and 3D hydrogel scaffolds for cell studies. The materials exhibit a wide range of properties and characteristics suitable for various applications.
Article
Biology
Reduan Asbai-Ghoudan, Gabriele Nasello, Maria Angeles Perez, Stefaan W. Verbruggen, Sergio Ruiz de Galarreta, Naiara Rodriguez-Florez
Summary: The mechanical environment plays a crucial role in regulating bone regeneration in bone defects. In-silico assessment of patient-specific orthopedic scaffolds could guide optimal designs and strategies to enhance bone regeneration and improve implant longevity. This study explores the bone regeneration potential of triply periodic minimal surface (TPMS) scaffolds made of different stiffness materials, the influence of pre-seeding and post-operative resting period, and the impact of patient-specific parameters on outcomes. The results demonstrate the importance of scaffold geometry, material, and patient characteristics in the design process for bone substitutes.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Juan D. Saborido-Moral, Matias Fernandez-Patona, Natalia Tejedor-Aguilar, Andrei Cristian-Marin, Irene Torres-Espallardo, Juan M. Campayo-Esteban, Jose Perez-Calatayud, Dimos Baltas, Luis Marti-Bonmati, Montserrat Carles
Summary: An automated software to assess the reproducibility of different CT metrics was successfully created and validated. A QA routine proposal is suggested.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Review
Cell & Tissue Engineering
Oscar Lecina-Tejero, Maria Angeles Perez, Elena Garcia-Gareta, Carlos Borau
Summary: Auxetic materials have the unique ability to expand/contract in multiple directions, which is different from most materials with a positive Poisson's ratio. This property is found in some biological tissues like human skin, which promotes wound healing by providing enhanced mechanical support and facilitating cell migration. Skin tissue engineering has attracted growing attention due to advancements in 3D printing techniques, offering potential for personalized medicine.
JOURNAL OF TISSUE ENGINEERING
(2023)
Article
Orthopedics
Vicente Sifre, Amadeo Ten-Esteve, C. Ivan Serra, Carme Soler, Angel Alberich-Bayarri, Sergi Segarra, Luis Marti-Bonmati
Summary: Quantification of various cartilage and subchondral bone imaging biomarkers in a rabbit model of osteoarthritis allows for the detection of significant changes that are correlated with histological findings.
Meeting Abstract
Cell & Tissue Engineering
Maria Angeles Perez, Gabriele Nasello, Simone Russo, Jose Manuel Garcia-Aznar
TISSUE ENGINEERING PART A
(2022)
Review
Cell & Tissue Engineering
Elena Garcia-Gareta, Maria Angeles Perez, Jose Manuel Garcia-Aznar
Summary: This paper reviews the progress in decellularization of tumors and its potential applications in tumor tissue engineering. Research using decellularized tumors has identified new therapeutic targets and elucidated malignancy mechanisms and response to chemotherapy agents. Further research is needed to answer important questions related to tumor formation and progression and to identify new effective therapeutic targets.
JOURNAL OF TISSUE ENGINEERING
(2022)
