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Artículos de revistas sobre el tema "3D Slicer"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Cahyati, Sally, and Haris Risqy Aziz. "The Influence of Different Slicer Software on 3d Printing Products Accuracy and Surface Roughness." Jurnal Rekayasa Mesin 12, no. 2 (2021): 371–80. http://dx.doi.org/10.21776/ub.jrm.2021.012.02.14.

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Rapid Prototyping (RP) is a manufacturing process that produces a 3D model CAD to be a real product rapidly by using additive manufacturing technology. In this case, the product will print layer by layer uses a 3D printer machine. The 3D printer requires slicer software to convert CAD data into data that a 3D printer machine can read. Research is done to analyze the effect of three kinds of slicer software on 3D printing objects on the accuracy and surface roughness of the product. The 3D model CAD is sliced using three different slicer software, namely Ideamaker, Repetier Host, and Cura. The

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2

Chen, Minhong, Zhong Li, Jianping Ding, Xingqi Lu, Yinan Cheng, and Jiayun Lin. "Comparison of Common Methods for Precision Volume Measurement of Hematoma." Computational and Mathematical Methods in Medicine 2020 (July 17, 2020): 1–11. http://dx.doi.org/10.1155/2020/6930836.

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Purpose. Our aim is to conduct analysis and comparison of some methods commonly used to measure the volume of hematoma, for example, slice method, voxelization method, and 3D-Slicer software method (projection method). Method. In order to validate the accuracy of the slice method, voxelization method, and 3D-Slicer method, these three methods were first applied to measure two known volumetric models, respectively. Then, a total of 198 patients diagnosed with spontaneous intracerebral hemorrhage (ICH) were recruited. The patients were split into 3 different groups based on the hematoma size: gr

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3

Bruns, Nico. "3D Slicer." Der Unfallchirurg 122, no. 8 (2019): 662–63. http://dx.doi.org/10.1007/s00113-019-0654-4.

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4

Wang, Jian Jun, and Xue Jun Wang. "The 3D Modeling Design of Cutting Machine Based on Solidworks." Advanced Materials Research 945-949 (June 2014): 77–80. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.77.

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According to design requirements of the slicer,3D model was assembled in SolidWorks;Alternating motion of the slicer applies slider-crank mechanism.With the friction wheel cover,friction wheel can be arbitrary thickness within a certain range of sections. Using the SolidWorks software development can shorten design time and save money.

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5

Liao, Rongfang, Longmao Liu, Bo Song, Xinhong Wan, Shuo Wang, and Jianhong Xu. "3D-Slicer Software-Assisted Neuroendoscopic Surgery in the Treatment of Hypertensive Cerebral Hemorrhage." Computational and Mathematical Methods in Medicine 2022 (February 18, 2022): 1–7. http://dx.doi.org/10.1155/2022/7156598.

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Objective. To explore the 3D-slicer software-assisted endoscopic treatment for patients with hypertensive cerebral hemorrhage. Methods. A total of 120 patients with hypertensive cerebral hemorrhage were selected and randomly divided into control group and 3D-slicer group with 60 cases each. Patients in the control group underwent traditional imaging positioning craniotomy, and patients in the 3D-slicer group underwent 3D-slicer followed by precision puncture treatment. In this paper, we evaluate the hematoma clearance rate, nerve function, ability of daily living, complication rate, and progno

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6

Simmross-Wattenberg, Federico, Noemí Carranza-Herrezuelo, Cristina Palacios-Camarero, et al. "Group-Slicer: A collaborative extension of 3D-Slicer." Journal of Biomedical Informatics 38, no. 6 (2005): 431–42. http://dx.doi.org/10.1016/j.jbi.2005.03.001.

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7

Pinter, Csaba, Andras Lasso, An Wang, David Jaffray, and Gabor Fichtinger. "SlicerRT: Radiation therapy research toolkit for 3D Slicer." Medical Physics 39, no. 10 (2012): 6332–38. http://dx.doi.org/10.1118/1.4754659.

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8

Zeineldin, Ramy A., Pauline Weimann, Mohamed E. Karar, Franziska Mathis-Ullrich, and Oliver Burgert. "Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation." Current Directions in Biomedical Engineering 7, no. 1 (2021): 30–34. http://dx.doi.org/10.1515/cdbme-2021-1007.

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Abstract Purpose Computerized medical imaging processing assists neurosurgeons to localize tumours precisely. It plays a key role in recent image-guided neurosurgery. Hence, we developed a new open-source toolkit, namely Slicer-DeepSeg, for efficient and automatic brain tumour segmentation based on deep learning methodologies for aiding clinical brain research. Methods Our developed toolkit consists of three main components. First, Slicer-DeepSeg extends the 3D Slicer application and thus provides support for multiple data input/ output data formats and 3D visualization libraries. Second, Slic

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9

Marufah, Asmaul Lutfi, and Muhamad Azwar Annas. "Penggunaan Software 3Dd Slicer pada Pemodelan dan Visualisasi Volumetrik Meningioma." TSAQOFAH 3, no. 6 (2023): 1392–98. http://dx.doi.org/10.58578/tsaqofah.v3i6.2713.

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Meningioma is a tumor that is often found in Indonesia. Treatment for meningomenia itself can be through surgery, radiotherapy, or a combination of both. The decision to carry out radiotherapy itself must go through a planning stage using a treatment planning system (TPS) which requires accurate 3D volumetric imaging. On the other hand, 3D slicer itself is 3D imaging software that is commonly used in the field of radiology. Therefore, this study aims to find out how to use 3D slicer software in modeling and volumetric visualization of meningioma disease. This study uses MRI data from meningiom

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10

Meng, Ruoyan, Gabriella D’Albenzio, Ole Vegard Solberg, Geir Arne Tangen, and Rafael Palomar. "Slicer-Liver: A 3D Slicer Extension for Liver Surgery Planning." Journal of Open Source Software 10, no. 108 (2025): 7798. https://doi.org/10.21105/joss.07798.

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11

Qiu, Shi Yin, Hai Tao Wu, and Hong Bin Liu. "Design and Simulation of Pastry Slicer Based on SolidWorks and ADAMS." Advanced Materials Research 328-330 (September 2011): 151–54. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.151.

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A new type of pastry slicer which could alter pastry thickness expediently was designed by using SolidWorks and ADAMS. In the first place, the pastry slicer 3D model was established by SolidWorks and imported into ADAMS by the nicer interface between SolidWorks and ADAMS. In the second place, the pastry slicer 3D model was simulated in ADAMS. The dynamics simulation result showed that the pastry slicer could fulfil the anticipative design requirements. The simulation analysis results could be regard as the design reference for the new type of pastry slicer, and the virtual prototype could be u

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12

Wang, Hua-wei, Chen Wu, Zhe Xue, Xu-jun Shu, and Zheng-hui Sun. "A Supplemental Technique for Preoperative Evaluation of Giant Intracranial Aneurysm." Journal of Neurological Surgery Part A: Central European Neurosurgery 82, no. 05 (2021): 424–29. http://dx.doi.org/10.1055/s-0040-1721006.

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Abstract Background Preoperative planning mainly relies on digital subtraction angiography (DSA) and computed tomography angiography. However, neither technique can reveal thrombi in giant intracranial aneurysms (GIAs). In this study, we aimed to reconstruct the circulating and noncirculating parts of GIAs with the time-of-flight (TOF) and motion-sensitized driven-equilibrium (MSDE) sequences with 3D Slicer to reveal an integrated presentation of GIAs, compare its accuracy, and validate the usefulness for preoperative planning. Material and Methods Patients with GIAs who were treated with micr

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13

Jeon, Woo-Ram, and Sung-Hoon Lim. "Cone-beam CT superimposition and visualization using open-source softwares." Journal of The Korean Dental Association 56, no. 10 (2018): 538–47. http://dx.doi.org/10.22974/jkda.2018.56.10.001.

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ITK-SNAP (http://www.itksnap.org) and 3D Slicer (CMFreg extension module; www.slicer.org) are open-source softwares which can be used for superimposition of cone-beam CT images. For superimposition, segmentation of bone is done with ITK-SNAP, and then voxel based superimposition of CBCT images can be performed using 3D Slicer. 3D Slicer has various visualization modules which are not provided in common commercial programs. 'Models' module is used to visualize two overlapping three-dimensional images, and this allows various visualizations by changing view mode and color of the model. In additi

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14

Zaffino, Paolo, Alessio Merola, Domenico Leuzzi, Virgilio Sabatino, Carlo Cosentino, and Maria Francesca Spadea. "SlicerArduino: A Bridge between Medical Imaging Platform and Microcontroller." Bioengineering 7, no. 3 (2020): 109. http://dx.doi.org/10.3390/bioengineering7030109.

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Interaction between medical image platform and external environment is a desirable feature in several clinical, research, and educational scenarios. In this work, the integration between 3D Slicer package and Arduino board is introduced, enabling a simple and useful communication between the two software/hardware platforms. The open source extension, programmed in Python language, manages the connection process and offers a communication layer accessible from any point of the medical image suite infrastructure. Deep integration with 3D Slicer code environment is provided and a basic input–outp

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15

Egger, Jan, Tina Kapur, Christopher Nimsky, and Ron Kikinis. "Pituitary Adenoma Volumetry with 3D Slicer." PLoS ONE 7, no. 12 (2012): e51788. http://dx.doi.org/10.1371/journal.pone.0051788.

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16

Cheng, George Z., Raul San Jose Estepar, Erik Folch, Jorge Onieva, Sidhu Gangadharan, and Adnan Majid. "Three-dimensional Printing and 3D Slicer." Chest 149, no. 5 (2016): 1136–42. http://dx.doi.org/10.1016/j.chest.2016.03.001.

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17

Shim, Bo Seok, and Jong-Uk Hou. "Improving Estimation of Layer Thickness and Identification of Slicer for 3D Printing Forensics." Sensors 23, no. 19 (2023): 8250. http://dx.doi.org/10.3390/s23198250.

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This study emphasizes the significance of estimating the layer thickness and identifying slicer programs in the realm of 3D printing forensics. With the progress in 3D printing technology, precise estimation of the layer thickness has become crucial. However, previous research on layer thickness estimation has mainly treated the problem as a classification task, which is inadequate for continuous layer thickness parameters. Furthermore, previous studies have concentrated on hardware-based printer identification, but the identification of slicer programs through 3D objects is a vital aspect of

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18

Balanovskii, A. E., V. Yu Konyukhov, and R. R. Khakimov. "Technology of robotic additive manufacturing of products of complex geometric shape made of metal." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 81, no. 1 (2025): 54–60. https://doi.org/10.32339/0135-5910-2025-1-54-60.

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Additive manufacturing or 3D printing is replacing traditional subtractive manufacturing, where parts are manufactured by sequentially removing parts of the workpiece. In 3D printing, the material is added in layers, which makes it possible to produce parts of complex geometric shapes from expensive metals with higher productivity and economic efficiency. In order to carry out 3D printing at the industrial level, it is necessary to combine robotics with 3D printing software. This article presents the results of adaptation and programming of an industrial robot for 3D printing. Since there is c

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19

Bryła, Jakub, and Adam Martowicz. "Study on the Importance of a Slicer Selection for the 3D Printing Process Parameters via the Investigation of G-Code Readings." Machines 9, no. 8 (2021): 163. http://dx.doi.org/10.3390/machines9080163.

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The work deals with the investigation of the variation of the selected 3D printing process properties that originate from the choice of a slicer. Specifically, the main aim of the present study was to assess the induced changes of the kinematic and geometric properties considered by the slicer for the printing process making use of the G-code readings. The paper provides adequate definitions and formulas required to characterize the slicer’s configuration. Next, the selected cases of the process parameters’ changes were studied, primarily taking into account varying layer height and infill. Th

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20

Nayak, Ramyasri, Nandish S, and Prakashini Koteshwara. "Volume Estimation of Pulmonary Lesion Using Chest CT Sequence." International Journal of Engineering & Technology 7, no. 3.1 (2018): 186. http://dx.doi.org/10.14419/ijet.v7i3.1.17234.

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Many of the imaging modalities like X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), fMRI have emerged to capture high quality images of anatomical structures of the human body. Radiologist can also have a better visualization if the regions of interest in the images are extracted and visualized 3D. To extract region of interest, sometimes preprocessing steps are performed on the input data. Pulmonary lesion is a small round or oval-shaped growth in the lung. It consists of solid and non-solid portion. The estimation of solid and non-solid portion of the pulmonary nodules wil

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21

McPherson, Jace, and Wenchao Zhou. "A chunk-based slicer for cooperative 3D printing." Rapid Prototyping Journal 24, no. 9 (2018): 1436–46. http://dx.doi.org/10.1108/rpj-07-2017-0150.

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Purpose The purpose of this research is to develop a new slicing scheme for the emerging cooperative three-dimensional (3D) printing platform that has multiple mobile 3D printers working together on one print job. Design/methodology/approach Because the traditional lay-based slicing scheme does not work for cooperative 3D printing, a chunk-based slicing scheme is proposed to split the print job into chunks so that different mobile printers can print different chunks simultaneously without interfering with each other. Findings A chunk-based slicer is developed for two mobile 3D printers to work

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22

GOMEZ ALONSO, JOSE LUIS, ALEXANDRA ALLUE SALVADOR, ISABEL DE MARCO RODRIGUEZ, JONE RETOLAZA GAVIÑA, and GORKA DIEZ BARCENILLA. "INFLUENCE OF SLICER SOFTWARE USED WITH 3D PRINTING FILAMENT EXTRUSION TECHNOLOGY ON PROPERTIES OF PRINTED PARTS WITH SHORT FIBER REINFORCED THERMOPLASTIC COMPOSITE." DYNA 97, no. 3 (2022): 295–300. http://dx.doi.org/10.6036/10285.

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3D printing with filament extrusion technology is a process in which the thermoplastic molten material is sequentially accumulated layer by layer on a construction platform. 3D printers use a slicer software that converts 3D digital models into printing instructions. The software calculates the trajectory of the extruder within the printer, from three-dimensional mesh-based models. The input of the lamination software is a “.stl” file and the output is a “.gcode” file. For each layer, the lamination program generates the path that the printer extruder will travel, this could determine if a par

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23

Liu, Tao, Tianyu Zhang, Yongxue Chen, Yuming Huang, and Charlie C. L. Wang. "Neural Slicer for Multi-Axis 3D Printing." ACM Transactions on Graphics 43, no. 4 (2024): 1–15. http://dx.doi.org/10.1145/3658212.

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We introduce a novel neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. This advanced slicer can work on models with diverse representations and intricate topology. The approach involves employing neural networks to establish a deformation mapping, defining a scalar field in the space surrounding an input model. Isosurfaces are subsequently extracted from this field to generate curved layers for 3D printing. Creating a differentiable pipeline enables us to optimize the mapping through loss functions directly defined on the field gradient

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24

Song, Yanzhi, Zhouwang Yang, Yuan Liu, and Jiansong Deng. "Function representation based slicer for 3D printing." Computer Aided Geometric Design 62 (May 2018): 276–93. http://dx.doi.org/10.1016/j.cagd.2018.03.012.

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Zhang, Tianyu, Guoxin Fang, Yuming Huang, et al. "S ³ -Slicer." ACM Transactions on Graphics 41, no. 6 (2022): 1–15. http://dx.doi.org/10.1145/3550454.3555516.

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Multi-axis motion introduces more degrees of freedom into the process of 3D printing to enable different objectives of fabrication by accumulating materials layers upon curved layers. An existing challenge is how to effectively generate the curved layers satisfying multiple objectives simultaneously. This paper presents a general slicing framework for achieving multiple fabrication objectives including support free, strength reinforcement and surface quality. These objectives are formulated as local printing directions varied in the volume of a solid, which are achieved by computing the rotati

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Connolly, Laura, Anton Deguet, Simon Leonard, et al. "Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions." Sensors 22, no. 14 (2022): 5336. http://dx.doi.org/10.3390/s22145336.

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Developing image-guided robotic systems requires access to flexible, open-source software. For image guidance, the open-source medical imaging platform 3D Slicer is one of the most adopted tools that can be used for research and prototyping. Similarly, for robotics, the open-source middleware suite robot operating system (ROS) is the standard development framework. In the past, there have been several “ad hoc” attempts made to bridge both tools; however, they are all reliant on middleware and custom interfaces. Additionally, none of these attempts have been successful in bridging access to the

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27

Alexander, K. M., A. Robinson, C. Pinter, G. Fichtinger, and L. J. Schreiner. "Development of 3D Slicer based film dosimetry analysis." Journal of Physics: Conference Series 847 (May 2017): 012061. http://dx.doi.org/10.1088/1742-6596/847/1/012061.

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28

Chang, Jincai, Jianzhong Cui, Yuxuan Wang, Han Wang, and Keqin Shen. "Brain CT image segmentation based on 3D slicer." Journal of Complexity in Health Sciences 3, no. 1 (2020): 34–42. http://dx.doi.org/10.21595/chs.2020.21263.

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Chang, Jincai, Jianzhong Cui, Liyuan Ma, Chaoqi Zhang, and Weina Wu. "Secondary development based on 3D Slicer extension modules." Journal of Complexity in Health Sciences 3, no. 1 (2020): 73–80. http://dx.doi.org/10.21595/chs.2020.21267.

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Mohd Ariffin, M. K. A., N. A. Sukindar, B. T. H. T. Baharudin, C. N. A. Jaafar, and M. I. S. Ismail. "Slicer Method Comparison Using Open-source 3D Printer." IOP Conference Series: Earth and Environmental Science 114 (January 2018): 012018. http://dx.doi.org/10.1088/1755-1315/114/1/012018.

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Alexis, David Armijos Yunga, Adriana Juela Corte Nicole, Valentina Pesantez Ocampo Fabiana, and Estuardo Bravo Calderón Manuel. "Comparative study of reliability in three software meshmixer, 3d slicer and nemocast of the intercanine and intermolar spaces of digital models." World Journal of Advanced Research and Reviews 17, no. 1 (2023): 1040–45. https://doi.org/10.5281/zenodo.8090461.

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<strong>Aim: </strong>Observe the measurements of the intercanine and intermolar space of digital models and compare the reliability of different software, Meshmixer, 3D Slicer and Nemocast. <strong>Methods: </strong>Inclusion and exclusion criteria were used to obtain the study sample. Thus, a sample made up of 29 patients obtained from a database with their respective digital models was obtained. <strong>Results</strong>: In the results of the measurement in the three programs we obtained that the difference in the upper intercanine space is 1.43 mm, in the lower intercanine space

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Levine, Lance, and Marc Levine. "DRRGenerator: A Three-dimensional Slicer Extension for the Rapid and Easy Development of Digitally Reconstructed Radiographs." Journal of Clinical Imaging Science 10 (October 29, 2020): 69. http://dx.doi.org/10.25259/jcis_105_2020.

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As the interest in image-guided medical interventions has increased, so too has the necessity for open-source software tools to provide the required capabilities without exorbitant costs. A common issue encountered in these procedures is the need to compare computed tomography (CT) data with X-ray data, for example, to compare pre-operative CT imaging with intraoperative X-rays. A software approach to solve this dilemma is the production of digitally reconstructed radiographs (DRRs) which computationally simulate an X-ray-type image from CT data. The resultant image can be easily compared to a

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Kowalska, Anna. "До питання аналізу лінгвістичних особливостей англіцизмів у сфері інформаційних технологій". Академічні візії, № 6-7 (31 травня 2022): 3–16. https://doi.org/10.5281/zenodo.6631204.

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The role that English currently plays is undeniable. It has become the most common means of communication among native speakers of several languages around the world. English penetrates into all areas of people's daily lives. In the field of Information Technology (IT), English has taken a dominant position, as many of the terms used on a daily basis are written in English. The purpose of the article is to analyze the linguistic features of anglicisms in the field of Information Technology. Methods. The research is based on systematic and comparative analysis, dialectical method, as well a

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King, Franklin, Jagadeesan Jayender, Sharath K. Bhagavatula, et al. "An Immersive Virtual Reality Environment for Diagnostic Imaging." Journal of Medical Robotics Research 01, no. 01 (2016): 1640003. http://dx.doi.org/10.1142/s2424905x16400031.

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Purpose: Advancements in and adoption of consumer virtual reality (VR) are currently being propelled by numerous upcoming devices such as the Oculus Rift. Although applications are currently growing around the entertainment field, wide-spread adoption of VR devices opens up the potential for other applications that may have been unfeasible with past implementations of VR. A VR environment may provide an equal or larger screen area than what is provided with the use of multiple conventional displays while remaining comparatively cheaper and more portable making it an attractive option for diagn

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Chalupa, Daniel, and Jan Mikulka. "A Novel Tool for Supervised Segmentation Using 3D Slicer." Symmetry 10, no. 11 (2018): 627. http://dx.doi.org/10.3390/sym10110627.

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The rather impressive extension library of medical image-processing platform 3D Slicer lacks a wide range of machine-learning toolboxes. The authors have developed such a toolbox that incorporates commonly used machine-learning libraries. The extension uses a simple graphical user interface that allows the user to preprocess data, train a classifier, and use that classifier in common medical image-classification tasks, such as tumor staging or various anatomical segmentations without a deeper knowledge of the inner workings of the classifiers. A series of experiments were carried out to showca

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HONG, Jaesung, Daisuke INOUE, Kouji YOSHIMOTO, Tomio SASAKI, and Makoto HASHIZUME. "0810 3D Slicer-based Neurosurgical Navigation Using Image Fusion." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2009.22 (2010): 134. http://dx.doi.org/10.1299/jsmebio.2009.22.134.

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Chang, Jincai, Jianzhong Cui, Shuhan Jin, Guoqing Yu, and Jingyu Song. "Development environment construction of medical imaging software 3d slicer." Journal of Complexity in Health Sciences 3, no. 1 (2020): 43–51. http://dx.doi.org/10.21595/chs.2020.21264.

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Dzikunu, Obed K., Maziar Sabouri, Shadab Ahamed, Carlos Uribe, Arman Rahmim, and Lucas A. Polson. "SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction." Journal of Open Source Software 9, no. 104 (2024): 7399. https://doi.org/10.21105/joss.07399.

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Marufah, Asmaul Lutfi, Muktamar Cholifah Aisiyah, and Uswatun Chasanah. "SISTEM PERENCANAAN RADIOTERAPI PADA KANKER NASOFARING MENGGUNAKAN 3D SLICER." Jurnal Informatika Medis (J-INFORMED) 2, no. 1 (2024): 5–8. http://dx.doi.org/10.52060/im.v2i1.2077.

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Radioterapi merupakan salah satu terapi yang digunakan untuk pengobatan kanker nasofaring. Radioterapi memiliki sistem perencanaan yang disebut TPS (Treatment Planning System). Penelitian ini bertujuan untuk mengetahui cara pembuatan sistem perencanaan perawatan radioterapi pada kasus kanker nasofaring dan untuk mengetahui penilaian perencanaan perawatan radioterapi menurut ICRU 83. Tujuan dilakukannya TPS adalah untuk mencapai distribusi dosis yang optimal sesuai dengan dosis yang ditentukan untuk volume target dan dosis toleransi jaringan normal di sekitarnya sesuai dengan aturan ICRU. Dalam

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Alexander, K. M., C. Pinter, G. Fichtinger, T. Olding, and L. J. Schreiner. "Streamlined open-source gel dosimetry analysis in 3D slicer." Biomedical Physics & Engineering Express 4, no. 4 (2018): 045041. http://dx.doi.org/10.1088/2057-1976/aad0cf.

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Nardelli, Pietro, Alexander Jaeger, Conor O’Shea, Kashif A. Khan, Marcus P. Kennedy, and Pádraig Cantillon-Murphy. "Pre-clinical validation of virtual bronchoscopy using 3D Slicer." International Journal of Computer Assisted Radiology and Surgery 12, no. 1 (2016): 25–38. http://dx.doi.org/10.1007/s11548-016-1447-7.

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Mandolini, Marco, Agnese Brunzini, Giulia Facco, Alida Mazzoli, Archimede Forcellese, and Antonio Gigante. "Comparison of Three 3D Segmentation Software Tools for Hip Surgical Planning." Sensors 22, no. 14 (2022): 5242. http://dx.doi.org/10.3390/s22145242.

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In hip arthroplasty, preoperative planning is fundamental to reaching a successful surgery. Nowadays, several software tools for computed tomography (CT) image processing are available. However, research studies comparing segmentation tools for hip surgery planning for patients affected by osteoarthritic diseases or osteoporotic fractures are still lacking. The present work compares three different software from the geometric, dimensional, and usability perspectives to identify the best three-dimensional (3D) modelling tool for the reconstruction of pathological femoral heads. Syngo.via Fronti

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43

Deshazer, Garron, Derek Merck, Scott Collins, Yakub M. Puthawala, and Jose Garcia Cobian. "Visualization of the 3D Dosimetry for a Leipzig Brachytherapy Applicator Using 3D Slicer." Brachytherapy 15 (May 2016): S148. http://dx.doi.org/10.1016/j.brachy.2016.04.260.

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44

Jerónimo Montes, José Antonio, Angélica Rosalva Martínez Rodríguez, and Juan Ignacio Cruz. "3D biomodels to integrate an imaging diagnosis as an aid in learning clinical diagnostics in dentistry." Odontologia (Montevideo) 3 (January 1, 2025): 201. https://doi.org/10.62486/agodonto2025201.

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The work presented here corresponds to the purpose of the PAPIT Project IN306823 Emerging pedagogies and open educational movement, particularly in digital and 3D printed format; applied in learning activities in Health Sciences, in dentistry. In the salud area, the challenge is to attract the attention and interest of students to learn anatomy, pathology and promote the integration of knowledge of the basic areas referred to above in the process of identifying lesions, in that formative experience focused on the use of radiographic images of patients. The learning experiences that are shared

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45

Dyaksa, Gilang Argya, Nur Arfian, Herianto Herianto, Lina Choridah, and Yosef Agung Cahyanta. "Smoothing Module for Optimization Cranium Segmentation Using 3D SlicerSmoothing Module for Optimization Cranium Segmentation Using 3D Slicer." International Journal of Applied Sciences and Smart Technologies 5, no. 1 (2023): 75–88. http://dx.doi.org/10.24071/ijasst.v5i1.6300.

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Anatomy is the most essential course in health and medical education to study parts of human body and also the function of it. Cadaver is a media used by medical student to study anatomical subject. Because of limited access to cadaver and also due to high prices, this situation makes it necessary to develope an alternative anatomical education media, one of them is the use 3D printing to produce anatomical models. Before 3D Print the cranium, it is necessary to do the segmentation process and often the segmentation result is not good enough and appear a lot of noises. The purpose of this rese

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46

Alexis David Armijos Yunga, Nicole Adriana Juela Corte, Fabiana Valentina Pesantez Ocampo, and Manuel Estuardo Bravo Calderón. "Comparative study of reliability in three software meshmixer, 3d slicer and nemocast of the intercanine and intermolar spaces of digital models." World Journal of Advanced Research and Reviews 17, no. 1 (2023): 1040–45. http://dx.doi.org/10.30574/wjarr.2023.17.1.0111.

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Aim: Observe the measurements of the intercanine and intermolar space of digital models and compare the reliability of different software, Meshmixer, 3D Slicer and Nemocast. Methods: Inclusion and exclusion criteria were used to obtain the study sample. Thus, a sample made up of 29 patients obtained from a database with their respective digital models was obtained. Results: In the results of the measurement in the three programs we obtained that the difference in the upper intercanine space is 1.43 mm, in the lower intercanine space it is 0.26 mm, in the upper intermolar space it is 0.11 mm an

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47

Baldi, D., M. Aiello, A. Duggento, M. Salvatore, and C. Cavaliere. "MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment." Contrast Media & Molecular Imaging 2019 (May 29, 2019): 1–9. http://dx.doi.org/10.1155/2019/1071453.

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3D printing and reverse engineering are innovative technologies that are revolutionizing scientific research in the health sciences and related clinical practice. Such technologies are able to improve the development of various custom-made medical devices while also lowering design and production costs. Recent advances allow the printing of particularly complex prototypes whose geometry is drawn from precise computer models designed on in vivo imaging data. This review summarizes a new method for histological sample processing (applicable to e.g., the brain, prostate, liver, and renal mass) wh

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Sai Kiran, C., M. Siva Sai, and P. Surya Teja. "Biomechanical Analysis of a Femur Bone." CVR Journal of Science and Technology 26, no. 1 (2024): 24–30. http://dx.doi.org/10.32377/cvrjst2620.

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In this paper, a CAD model of human femur bone was generated and was analysed which is useful for medical industry for implementing the correct size and correct plate that can withstand the stresses developed by the user. The purpose of the work is to find a suitable material which can withstand the maximum stress made by the user. In this paper internal fixation is analysed. The image of femur bone is generated by using the 3D slicer where CT scan data in form of DICOM files is sent to the software to generate 3D model and the Bone plate, screws are modelled by using SolidWorks, the dimension

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Lansdown, Drew A., Robert Dawe, Gregory L. Cvetanovich, et al. "Automated 3D MRI Allows for Accurate Evaluation of Glenoid Bone Loss as Compared to 3D CT." Orthopaedic Journal of Sports Medicine 6, no. 7_suppl4 (2018): 2325967118S0008. http://dx.doi.org/10.1177/2325967118s00089.

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Objectives: Glenoid bone loss is frequently present in the setting of recurrent shoulder instability. The magnitude of bone loss is an important determinant of the optimal surgical treatment. The current gold-standard for measurement of glenoid bone loss is three-dimensional (3D) reconstruction of a computed tomography (CT) scan. CT scans, however, carry an inherent risk of radiation and increased cost for a second modality. Magnetic resonance imaging (MRI) offers excellent soft tissue contrast and may allow resolution of bony structures to generate 3D reconstructions without a risk of ionizin

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Lo Giudice, Antonino, Vincenzo Quinzi, Vincenzo Ronsivalle, et al. "Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique." International Journal of Environmental Research and Public Health 17, no. 13 (2020): 4789. http://dx.doi.org/10.3390/ijerph17134789.

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The aim of this study was to assess the accuracy of 3D rendering of the mandibular condylar region obtained from different semi-automatic segmentation methodology. A total of 10 Cone beam computed tomography (CBCT) were selected to perform semi-automatic segmentation of the condyles by using three free-source software (Invesalius, version 3.0.0, Centro de Tecnologia da Informação Renato Archer, Campinas, SP, Brazil; ITK-Snap, version2.2.0; Slicer 3D, version 4.10.2) and one commercially available software Dolphin 3D (Dolphin Imaging, version 11.0, Chatsworth, CA, USA). The same models were als

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