Article
Engineering, Biomedical
Yuchun Liu, Swee Leong Sing, Rebecca Xin En Lim, Wai Yee Yeong, Bee Tin Goh
Summary: Additive manufacturing is a viable alternative to conventional manufacturing for metallic implants. This study examines the geometric accuracy of a 3D printed titanium dental implant design compared to a monkey tooth root, finding that the 3D printed implant was 68.70% accurate. Laser powder bed fusion (PBF) fabrication showed a higher level of accuracy at 90.59%. The goal is to develop an accurate workflow methodology for patient-specific 3D-printed dental implants to promote long-term stability and osseointegration.
INTERNATIONAL JOURNAL OF BIOPRINTING
(2022)
Article
Medicine, General & Internal
Merim Jusufbegovic, Adi Pandzic, Mustafa Busuladzic, Lejla M. Civa, Azra Gazibegovic-Busuladzic, Adnan Sehic, Sandra Vegar-Zubovic, Rahima Jasic, Adnan Beganovic
Summary: Computed tomography (CT) is a diagnostic imaging process that uses ionising radiation to obtain information about the interior anatomic structure of the human body. Optimising imaging protocols is important to reduce radiation doses for paediatric patients while maintaining image quality.
Article
Materials Science, Characterization & Testing
Simon Bellens, Gabriel M. Probst, Michel Janssens, Patrick Vandewalle, Wim Dewulf
Summary: Laser sintering is evolving as a manufacturing technique for volume production and mass customized products. However, reducing variability in part quality is still necessary for high demanding applications. This study evaluates deep learning segmentation algorithms for low-quality XCT scans and compares them with conventional methods, showing improved segmentation while maintaining a high generalization capability.
Article
Chemistry, Physical
Khalid Saeed, Alistair McIlhagger, Eileen Harkin-Jones, Cormac McGarrigle, Dorian Dixon, Edward Archer
Summary: Additively manufactured composite specimens display anisotropic properties, which means the elastic response varies with orientation. This study focused on determining the through-thickness tensile strength of 3D polymer composites using a continuous carbon fiber reinforced thermoplastic polyamide-based composite. Various testing methods were used to evaluate the out-of-plane properties of the specimens.
Article
Biotechnology & Applied Microbiology
Xiangjie Ma, Martin Buschmann, Ewald Unger, Peter Homolka
Summary: Additive manufacturing and 3D printing are used to produce phantoms for medical imaging applications, with a focus on determining and optimizing image quality and dosimetry. Material properties such as x-ray attenuation and energy dependence are important for selecting the appropriate materials, and the study provides data on these properties for various printing materials. The measurements and optimizations performed in the study can be used to design phantoms with wide x-ray contrasts and energy dependence, and potentially correct contrast or contrast to noise ratios from phantom measurements to real tissue contrasts.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Engineering, Industrial
Zhiping Wang, Dominique Millet, Yicha Zhang
Summary: Additive manufacturing (AM) is widely used to create 3D models for medical purposes. A new method is proposed to simplify the processing chain and improve the efficiency of designing and printing porous medical models, allowing direct design of toolpath slices using CT images. This has the potential to significantly change the current medical AM paradigm.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Review
Engineering, Environmental
Jie Zhu, Peiwen Wu, Yanhong Chao, Jiangtao Yu, Wenshuai Zhu, Zhichang Liu, Chunming Xu
Summary: Three-dimensional (3D) printing is revolutionizing the design and manufacturing of 3D objects by transforming digital models into solid models. In the field of catalysis, 3D printing technology offers new possibilities and is widely applied in related catalytic reactions and processes.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Mechanics
Marius Rimasauskas, Elena Jasiuniene, Tomas Kuncius, Ruta Rimasauskiene, Vaidotas Cicenas
Summary: Composites reinforced with carbon fibers are widely used and additive manufacturing technologies have allowed for printing complex shapes with reduced costs. Achieving minimum void volume and high fiber content is crucial for aerospace applications, but it is challenging in polymer-fiber composites. Understanding how printing parameters influence properties is key to improving mechanical characteristics. Tensile properties of 3D printed composites were studied with varying layer height and line width, showing significant impact on void volume and carbon fiber content fluctuation. Optimization of composite properties is possible through adjusting 3D printing parameters.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
Maxwell Praniewicz, Jason C. Fox, Christopher Saldana
Summary: Lattice structures created through additive manufacturing are highly regarded in various industries, but the traceability requirements for qualifying these structures via X-ray computed tomography (XCT) are limited. This study presents a novel measurement reference object to investigate the uncertainty in XCT measurement of a simplified lattice structure. The measurement results show variations in the underlying distribution for different measurands, indicating the need for similarity between the reference object and subsequent component measurements.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Qifeng Qian, Jan Henk Kamps, Brian Price, Hao Gu, Ricky Wildman, Richard Hague, Belen Begines, Christopher Tuck
Summary: In this study, a 3D reactive inkjet printing method was developed to successfully fabricate bisphenol A-polycarbonate material, demonstrating the capability to broaden the range of AM materials to include engineering grade polymers.
ADDITIVE MANUFACTURING
(2022)
Article
Mechanics
Guillaume Fourrier, Alain Rassineux, Francois-Henri Leroy, Martin Hirsekorn, Christian Fagiano, Emmanuel Baranger
Summary: This paper presents a novel approach to generate conformal meshes of woven composites at the mesoscopic scale from low-contrast CT-scan images with reconstruction artifacts. The CT-scans are segmented based on the texture analysis of the tomography to differentiate the orientations of warp and weft yarns. Yarn paths are tracked through the scanned volume, providing seeds for a growing algorithm that labels the yarns in the initial voxelized mesh. The final conformal mesh is generated using smoothing and coarsening algorithms. The presented approach is mostly automated and allows for generating quality-controlled meshes suitable for finite element analyses with limited user intervention. Its flexibility is demonstrated by an application to a woven composite with manufacturing defects (fiber disorientation and yarn splitting).
COMPOSITE STRUCTURES
(2023)
Review
Engineering, Multidisciplinary
Xin Ning Zhang, Qiang Zheng, Zi Liang Wu
Summary: This paper reviews the recent progress in 3D printing of tough hydrogels and their applications. It provides an overview of the advantages and requirements of tough hydrogel systems for specific 3D printing technologies, and summarizes the network structures, mechanical performances, toughening mechanisms, and representative applications of the printed tough hydrogels. It also discusses the recent advances in 4D printing of tough hydrogels as a prospective direction for soft actuators and robots.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Materials Science, Ceramics
Alberto Boretti, Stefania Castelletto
Summary: The paper provides a comprehensive exploration of 3D printing silicon carbide, discussing its advantages, applications, challenges, and significance. Despite its many advantages, silicon carbide 3D printing still faces several significant challenges.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2024)
Article
Automation & Control Systems
Martin Krcma, David Palousek
Summary: The purpose of this study was to investigate the impact of various multi-axis 3D printing strategies on the buildability, surface quality, accuracy, and strength of large scale single-walled objects. Four different printing strategies were tested using an industrial robotic arm and a pellet-fed screw extruder. The findings suggest that 5-axis motion alone does not improve printing results, while nonplanar printing can improve surface quality but is geometry dependent. Multi-axis nonplanar printing, even with partial tilt, can significantly enhance printability with improved quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ronald Booij, Marcel van Straten, Andreas Wimmer, Ricardo P. J. Budde
Summary: The study evaluated the impact of breathing state on the accuracy of a 3D camera for body contour detection and patient positioning in thoracic CT. Results showed that acquiring camera images and subsequent CT scans in the same breathing state leads to accurate and precise patient positioning. It is recommended to obtain expiratory planning images when performing a thoracic CT scan in both inspiratory and expiratory breathing states.
EUROPEAN RADIOLOGY
(2022)
Article
Engineering, Biomedical
Jordi Minnema, Maureen van Eijnatten, Henri der Sarkissian, Shannon Doyle, Juha Koivisto, Jan Wolff, Tymour Forouzanfar, Felix Lucka, Kees Joost Batenburg
Summary: This study introduces a novel deep learning approach to reduce high cone-angle artifacts in CBCT scans through training convolutional neural networks. The results demonstrate that this method significantly reduces artifacts and outperforms conventional methods.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Review
Dentistry, Oral Surgery & Medicine
Jordi Minnema, Anne Ernst, Maureen van Eijnatten, Ruben Pauwels, Tymour Forouzanfar, Kees Joost Batenburg, Jan Wolff
Summary: Computer-assisted surgery (CAS) is widely used in maxillofacial surgery for personalized treatments. However, errors introduced during CT image reconstruction, bone segmentation, and surgical planning can affect treatment outcomes. This study reviews the use of neural networks (NNs) in CAS workflow and discusses their benefits and limitations. Convolutional NNs were commonly used, especially in surgical planning tasks.
DENTOMAXILLOFACIAL RADIOLOGY
(2022)
Article
Dentistry, Oral Surgery & Medicine
Melanie Gruening, Juha Koivisto, James Mah, Axel Bumann
Summary: This study evaluated the impact of thyroid gland shielding on radiation doses in dental CBCT with small and medium FOVs. The results showed that thyroid gland shielding significantly reduced equivalent doses and effective doses in various tissues, and should be used in all possible CBCT examinations.
ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY
(2022)
Article
Dentistry, Oral Surgery & Medicine
Maureen van Eijnatten, Jan Wolff, Ruben Pauwels, Kalle Karhu, Ari Hietanen, Henry der Sarkissian, Juha H. Koivisto
Summary: This study evaluates the impact of four different CBCT imaging positions on the accuracy of 3D models in the orbital area and finds that an elevated imaging position combined with higher voltage improves the accuracy of the resulting 3D models.
DENTOMAXILLOFACIAL RADIOLOGY
(2022)
Review
Surgery
R. B. den Boer, C. de Jongh, W. T. E. Huijbers, T. J. M. Jaspers, J. P. W. Pluim, R. van Hillegersberg, M. Van Eijnatten, J. P. Ruurda
Summary: This study provides a comprehensive overview of the accuracy of anatomy recognition algorithms in intrathoracic and abdominal surgery. The results show that the accuracy of these algorithms varies substantially, with higher accuracy achieved through training on larger datasets annotated by experts and focusing on less-complex anatomy. The study highlights the emerging field of computer-aided intraoperative anatomy recognition and emphasizes the need for larger datasets and methodological guidelines to improve accuracy and clinical applicability in future research.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Article
Dentistry, Oral Surgery & Medicine
Arnon Charuakkra, Phattaranant Mahasantipiya, Antti Lehtinen, Juha Koivisto, Jorma Jarnstedt
Summary: This study aimed to compare the image quality and effective dose of cone-beam computed tomography (CBCT) between low-dose scanning and standard manufacturer-recommended protocols among different CBCT units. The results showed that high-tube-voltage protocols could remarkably reduce the imaging dose without degrading the image quality. Therefore, low-dose and ultra-low-dose CBCT protocols may be adopted as routine practice for diagnosis and treatment planning.
DENTOMAXILLOFACIAL RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Agnese Katlapa, Siru M. Kaartinen, Juha Henrik Koivisto, Hanna Matikka
Summary: Fetal doses from extremity CBCT examinations were evaluated at different stages of pregnancy, with factors such as soft tissue layer, tube voltage, add-on device shield and body angulation found to impact fetal dose. The most effective method of reducing fetal dose was using add-on device shielding.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Oncology
Yvonne J. M. de Hond, Camiel E. M. Kerckhaert, Maureen A. J. M. van Eijnatten, Paul M. A. van Haaren, Coen W. Hurkmans, Rob H. N. Tijssen
Summary: This study emphasizes the importance of anatomical correctness in synthetic CT scans generated from CBCT scans using different deep-learning models. The results show that although Dual-UNet performs best in standard image quality measures, it performs worst in anatomical comparison, highlighting the importance of adding anatomy-based evaluation of sCTs generated by DL-models. Direct anatomical comparison with CBCT may provide a useful method to assess the clinical applicability of DL-based sCT generation methods in the pelvic area.
PHYSICS & IMAGING IN RADIATION ONCOLOGY
(2023)
Article
Environmental Sciences
Samuel Soederqvist, Ville Sivonen, Antti Aarnisalo, Harri Karppi, Saku T. Sinkkonen, Juha Koivisto
Summary: The study evaluated the usefulness of a novel cone-beam CT device for imaging the inner ear in cochlear implant recipients. The exposure parameters were optimized to achieve adequate clinical image quality at the lowest effective dose. The results showed that the overall image quality of inner ear structures did not differ between different imaging protocols, and important structures in cochlear implant recipients' inner ears could be visualized with low radiation exposure. However, higher radiation exposure may be necessary to visualize the most delicate structures in the inner ear.
RADIATION PROTECTION DOSIMETRY
(2023)
Article
Surgery
R. B. den Boer, T. J. M. Jaspers, C. de Jongh, J. P. W. Pluim, F. van der Sommen, T. Boers, R. van Hillegersberg, M. A. J. M. Van Eijnatten, J. P. Ruurda
Summary: This study developed a deep learning algorithm to recognize anatomical structures in video frames from robot-assisted minimally invasive esophagectomy (RAMIE) procedures. It shows potential for clinical application and further prospective clinical studies are needed to assess its effectiveness.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Anssi-Kalle Heikkinen, Valtteri Rissanen, Antti A. Aarnisalo, Kristofer Nyman, Saku T. Sinkkonen, Juha Koivisto
Summary: This study aimed to optimize the imaging parameters of a novel full body CBCT device to obtain optimal contrast to noise ratio (CNR) with low effective dose, and to optimize its clinical usability. Through imaging and comparison analysis of five anonymous cadaver temporal bones, it was found that all protocols except for 90 kVp 100 mAs were able to image the finest structures. The best protocol was 90 kV 450 mAs, which exhibited the best clinical image quality at a moderate effective dose of 86.5 mu Sv and was able to distinguish the most delicate middle ear structures in 2D images.
BMC MEDICAL IMAGING
(2023)
Article
Audiology & Speech-Language Pathology
Samuel Soderqvist, Ville Sivonen, Juha Koivisto, Antti Aarnisalo, Saku T. Sinkkonen
Summary: The electrode-generated intracochlear electrical field can be assessed using monopolar transimpedance matrix (TIMmp) to evaluate the correct alignment of the electrode array, and bipolar TIM (TIMbp) can be used to estimate potential differences. Both TIMmp and TIMbp can be used to estimate the scala area and electrode-medial-wall distance. The results showed that TIMmp had increasing EF peaks from the basal to apical direction and steeper decay near the medial wall, while TIMbp correlated with both scala area and electrode-medial-wall distance.
Review
Pharmacology & Pharmacy
Greg DeNunzio, Tyler Evans, Mychal E. Beebe, Jaime Browning, Juha Koivisto
Summary: This study highlights the detailed information obtained from a CBCT scan of the craniocervical junction and its usefulness for Chiropractors specializing in the upper cervical spine. It compares the radiation dose to patients from radiography and CBCT, and finds that CBCT provides superior visualization of incidental and abnormal findings in the craniocervical junction with equal or lower radiation dose to patients.
