Relevant bibliographies by topics / Medical SLAM

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Medical SLAM'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Medical SLAM"

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Mazzarelli, Anthony J. "Annals Story Slam - Humanism in Medical Education." Annals of Internal Medicine 166, no. 7 (April 4, 2017): SS1. http://dx.doi.org/10.7326/w17-0038.

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Kahmen, O., N. Haase, and T. Luhmann. "ORIENTATION OF POINT CLOUDS FOR COMPLEX SURFACES IN MEDICAL SURGERY USING TRINOCULAR VISUAL ODOMETRY AND STEREO ORB-SLAM2." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 35–42. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-35-2020.

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Abstract. In photogrammetry, computer vision and robotics, visual odometry (VO) and SLAM algorithms are well-known methods to estimate camera poses from image sequences. When dealing with unknown scenes there is often no reference data available and also the scene needs to be reconstructed for further analysis. In this contribution a trinocular visual odometry approach is implemented and compared to stereo VO and ORB-SLAM2 in an experimental setup imitating the scene of a knee replacement surgery. Two datasets are analysed. While a test-field provides excellent conditions for feature detection algorithms with its artificial texture assembled, extracted images show the knee joint itself solely in order to use only the homogenous, but in real application stable, region of the knee joint. The camera trajectories of VO and ORB-SLAM2 are transformed to corresponding coordinate systems and are subsequently evaluated. The tracking algorithms show poor quality when only the inappropriate surface of the knee is used but perform well when the artificial texture of the test-field is used. The third camera does not lead to a significant advantage in this setup using our implementation. Possible reasons, e.g. less overlap, are discussed in this contribution. Nevertheless, the quality of the oriented point clouds, obtained by trinocular dense matching, is less than 1mm for most of the analysed data. The experiment will be used to focus on further developments, e.g. dealing with specular reflections, and for evaluation purposes using different SLAM/ VO algorithms.
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MARTINI, NI PUTU DEVIRA AYU, BAMBANG SUMANTRI, and BIMA SENA BAYU DEWANTARA. "Simultaneous Localization and Mapping pada Smart Automated Guided Vehicle menggunakan Iterative Closest Point berbasis K-Means Clustering." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 10, no. 4 (October 27, 2022): 742. http://dx.doi.org/10.26760/elkomika.v10i4.742.

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ABSTRAKAutomated Guided Vehicle (AGV) merupakan salah satu jenis mobile robot yang digunakan untuk mengangkut barang menuju tempat tujuan. AGV mampu bekerja pada lingkungan yang dinamis tanpa menggunakan garis pemandu. Namun sebelumnya harus mempunyai informasi yang cukup terhadap lingkungan kerjanya. Teknik ini dikenal dengan Simulataneous Localization and Mapping (SLAM) yang digunakan robot untuk menggambar peta sekaligus mengetahui posisi robot di dalam peta. Pada penelitian ini, metode yang digunakan yaitu SLAM berbasis Iterative Closest Point (ICP) dengan algoritma K-Means yang menggunakan kumpulan titik dari sensor laser range finder (LRF) untuk membangun peta lingkungan. Pemetaan SLAM menggunakan algoritma K-Means memiliki error hasil scan jarak 77,69% lebih kecil dan waktu eksekusi 0,18% lebih cepat dibandingkan dengan KD-Tree. Peta yang dihasilkan dengan algoritma KMeans pada ICP-SLAM memberikan hasil yang lebih baik & mendekati keadaan ruangan sebenarnya dibandingkan menggunakan algoritma KD-Tree.Kata kunci: ICP-SLAM, K-Means, Laser Range Finder. ABSTRACTAutomated Guided Vehicle (AGV) is a type of mobile robot that is used to transport goods to destination. AGV is able to work in a dynamic environment without guidelines. However, it must have sufficient information about its working environment beforehand. This technique is known as Simultaneous Localization and Mapping (SLAM) which is used by a robot to be able to draw a map as well as to determine its position on the map. In this research, the method used is SLAM based on Iterative Closest Point (ICP) with the K-Means algorithm that uses a collection of points from the Laser Range Finder (LRF) sensor to build an environmental map. SLAM using the K-Means algorithm has 77,69% smaller distance error and 0,18% faster execution time than KD-Tree. The map generated by the K-Means algorithm on an ICP-SLAM gives better results & closer to the actual state than using the KD-Tree. Keywords: ICP-SLAM, K-Means, Laser Range Finder.
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O’Connell, Amalfitano, and Aldhamen. "SLAM Family Receptor Signaling in Viral Infections: HIV and Beyond." Vaccines 7, no. 4 (November 16, 2019): 184. http://dx.doi.org/10.3390/vaccines7040184.

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The signaling lymphocytic activation molecule (SLAM) family of receptors are expressed on the majority of immune cells. These receptors often serve as self-ligands, and play important roles in cellular communication and adhesion, thus modulating immune responses. SLAM family receptor signaling is differentially regulated in various immune cell types, with responses generally being determined by the presence or absence of two SLAM family adaptor proteins—Ewing’s sarcoma-associated transcript 2 (EAT-2) and SLAM-associated adaptor protein (SAP). In addition to serving as direct regulators of the immune system, certain SLAM family members have also been identified as direct targets for specific microbes and viruses. Here, we will discuss the known roles for these receptors in the setting of viral infection, with special emphasis placed on HIV infection. Because HIV causes such complex dysregulation of the immune system, studies of the roles for SLAM family receptors in this context are particularly exciting.
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Hasimja Saraqini, Delvina. "Annals On Being a Doctor Story Slam - Medical School in Kosovo." Annals of Internal Medicine 164, no. 2 (January 19, 2016): SS10. http://dx.doi.org/10.7326/v15-0021.

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Wu, Haibin, Jianbo Zhao, Kaiyang Xu, Yan Zhang, Ruotong Xu, Aili Wang, and Yuji Iwahori. "Semantic SLAM Based on Deep Learning in Endocavity Environment." Symmetry 14, no. 3 (March 19, 2022): 614. http://dx.doi.org/10.3390/sym14030614.

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Traditional endoscopic treatment methods restrict the surgeon’s field of view. New approaches to laparoscopic visualization have emerged due to the advent of robot-assisted surgical techniques. Lumen simultaneous localization and mapping (SLAM) technology can use the image sequence taken by the endoscope to estimate the pose of the endoscope and reconstruct the lumen scene in minimally invasive surgery. This technology gives the surgeon better visual perception and is the basis for the development of surgical navigation systems as well as medical augmented reality. However, the movement of surgical instruments in the internal cavity can interfere with the SLAM algorithm, and the feature points extracted from the surgical instruments may cause errors. Therefore, we propose a modified endocavity SLAM method combined with deep learning semantic segmentation that introduces a convolution neural network based on U-Net architecture with a symmetric encoder–decoder structure in the visual odometry with the goals of solving the binary segmentation problem between surgical instruments and the lumen background and distinguishing dynamic feature points. Its segmentation performance is improved by using pretrained encoders on the network model to obtain more accurate pixel-level instrument segmentation. In this setting, the semantic segmentation is used to reject the feature points on the surgical instruments and reduce the impact caused by dynamic surgical instruments. This can provide more stable and accurate mapping results compared to ordinary SLAM systems.
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Nierman, Eliot. "Annals Story Slam - What Does One Remember After a Long Medical Career?" Annals of Internal Medicine 166, no. 5 (March 7, 2017): SS1. http://dx.doi.org/10.7326/w17-0033.

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Shapiro, Dan, Lynne Tomasa, and Nancy Alexander Koff. "Patients as Teachers, Medical Students as Filmmakers: The Video Slam, A Pilot Study." Academic Medicine 84, no. 9 (September 2009): 1235–43. http://dx.doi.org/10.1097/acm.0b013e3181b18896.

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Lemke, Cornelius, Michael Schwerdtfeger, Ilona Pöhlmann, Günther Sammler, and Werner Linss. "A Variant of A Slam Freezing Device for Electron Microscopy." Biotechnic & Histochemistry 69, no. 1 (January 1994): 38–44. http://dx.doi.org/10.3109/10520299409106259.

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Carvalho, Henrique, Alberto Vale, Rúben Marques, Rodrigo Ventura, Yoeri Brouwer, and Bruno Gonçalves. "Remote inspection with multi-copters, radiological sensors and SLAM techniques." EPJ Web of Conferences 170 (2018): 07014. http://dx.doi.org/10.1051/epjconf/201817007014.

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Activated material can be found in different scenarios, such as in nuclear reactor facilities or medical facilities (e.g. in positron emission tomography commonly known as PET scanning). In addition, there are unexpected scenarios resulting from possible accidents, or where dangerous material is hidden for terrorism attacks using nuclear weapons. Thus, a technological solution is important to cope with fast and reliable remote inspection. The multi-copter is a common type of Unmanned Aerial Vehicle (UAV) that provides the ability to perform a first radiological inspection in the described scenarios. The paper proposes a solution with a multi-copter equipped with on-board sensors to perform a 3D reconstruction and a radiological mapping of the scenario. A depth camera and a Geiger-Müler counter are the used sensors. The inspection is performed in two steps: i) a 3D reconstruction of the environment and ii) radiation activity inference to localise and quantify sources of radiation. Experimental results were achieved with real 3D data and simulated radiation activity. Experimental tests with real sources of radiation are planned in the next iteration of the work.
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Dissertations / Theses on the topic "Medical SLAM"

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Marmol, Velez Andres Felipe. "Robust and dense visual slam for robot-assisted minimally invasive orthopaedic procedures." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132169/1/Andres_Marmol%20Velez_Thesis.pdf.

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Orthopaedic surgeons are currently overburdened by physical and mental challenges that significantly increase the risk of injury to more than 2 million patients every year. This thesis proposes a robotic surgical-assistant for minimally-invasive orthopaedic surgeries that can alleviate surgeon workload and reduce the risk of unintended patient injury. A robotic prototype, along with a set of state-of-the-art robotic vision algorithms, was designed and validated in knee arthroscopy, the most common orthopaedic procedure worldwide. The proposed system can reliably inform surgeons of the location of an instrument within a detailed 3D map of the anatomy. Extensive experimentation, including cadaveric trials, demonstrated the system's unparalleled performance in real operative conditions.
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Forsberg, Daniel. "An efficient wavelet representation for large medical image stacks." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8394.

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Like the rest of the society modern health care has to deal with the ever increasing information flow. Imaging modalities such as CT, MRI, US, SPECT and PET just keep producing more and more data. Especially CT and MRI and their 3D image stacks cause problems in terms of how to effectively handle these data sets. Usually a PACS is used to manage the information flow. Since a PACS often is implemented with a server-client setup, the management of these large data sets requires an efficient representation of medical image stacks that minimizes the amount of data transmitted between server and client and that efficiently supports the workflow of a practitioner.

In this thesis an efficient wavelet representation for large medical image stacks is proposed for the use in a PACS. The representation supports features such as lossless viewing, random access, ROI-viewing, scalable resolution, thick slab viewing and progressive transmission. All of these features are believed to be essential to form an efficient tool for navigation and reconstruction of an image stack.

The proposed wavelet representation has also been implemented and found to be better in terms of memory allocation and amount of data transmitted between server and client when compared to prior solutions. Performance tests of the implementation has also shown the proposed wavelet representation to have a good computational performance.

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Duyar-Kienast, Umut. "The formation of gecekondu settlements in Turkey : the case of Ankara /." Münster : Lit, 2005. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014567587&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Johansson, Frida, and Johanna Klarin. "Mechanical properties of trabecular structures produced by SLM, as a function of the trabecular morphology." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Produktutveckling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-36593.

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Eurocoating, Italy, is a company that works in the biomedical sector. They have for a long time created prostheses from CAD files achieved from customers, and now they want to build their own expertise about the design. The thesis work was a part of a three year long collaborative research project between Eurocoating and University of Trento that was aiming to investigate the prostheses with open-porous surface and trabecular structure, created by Selective Laser Melting. The purpose of the thesis was to investigate and characterize 30 different trabecular structures of Ti-6Al-4V, fabricated by Selective Laser Melting. That includes investigation the effect on the morphology and porosity fraction caused by the manufacturing and the effect on mechanical and physical properties due to the different characterizations of the structures. The thesis work had its foundation in literature studies to receive deep knowledge about the subject. Practical tests were performed to investigate mechanical behaviour under compressive and tensile loading, static friction and wear resistance. The findings from these tests were compared to the porosity fraction and the morphological characterizations. The result stated that the porosity fraction was lower than the designed porosity, and that is was strongly influenced by size of the voids and struts. The strut thickness was higher than the design values, especially on the lateral surface, while the voids size were approximately as designed. Result from the compression test showed a trend of decreasing stiffness and strength with increasing porosity fraction. Also structures with same porosity fraction could have a wide range in mechanical properties which indicates high dependence on the morphological geometry i.e. pore size and shape, strut size and pore distribution. Comparisons between tensile and compression behaviour stated that the structures had a lower strength but a significant higher stiffness in tensile load. All structures from the wear test showed a good resistance while the results from the friction test needs further investigation to be fully understood. The physical and mechanical properties of the trabecular structures was found to be close to those of cortical and trabecular bone in porosity, stiffness and strength. There is a range of variations leading to possibilities to adopt the application depending on customer. Thus, these can be considered as promising structures used biomedical application to optimize osseointegration and secondary long term fixation.
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Rosa, Natália Abdala. "Uma abordagem prática e eficiente de consultas por similaridade para suporte a diagnóstico por imagens." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03122002-144154/.

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O objetivo desse trabalho é apresentar as características de um Sistema de Apoio ao Diagnóstico em Sistema Hospitalar Suportando Busca por Imagens Similares, a ser desenvolvido e implantado no Hospital das Clínicas de Ribeirão Preto. A recuperação de imagens baseada no conteúdo é uma área de pesquisa que tem evoluído bastante nos últimos anos. Assim, um sistema de busca e obtenção de imagens, utilizando tal técnica, deve ser extensível aos novos algoritmos de extração de características e métodos de indexação. A extração de características de imagens, tais como informações de cor, textura, forma e o relacionamento entre elas são utilizadas para descrever o conteúdo das imagens. Essas características são então utilizadas para indexar e possibilitar a comparação de imagens no processo de recuperação. O sistema proposto utilizará um método de indexação de dados recém-desenvolvido – a Slim-tree – para indexar as características extraídas das imagens. Através desse método o Sistema de Apoio ao Diagnóstico possibilitará a consulta por conteúdo em imagens médicas.
This works presents the main characteristics of a diagnosis support system based on image similarity search for medical applications. This system was developed to be used in the Clinical Hospital of Ribeirao Preto of the University of Sao Paulo. The content-based image retrieval (CBIR) researching area has evolved greatly in the last years. Thus, a CBIR system should be able to incorporate the new techniques developed, such as, new feature extraction algorithms and indexing methods among others. Traditionally, the main features extracted from images to get the image essence are color, texture, shape and the relationship among them. Therefore, such features describe the images under analysis, and are used to index and to compare images during the content-based retrieval process. The proposed system takes advantage of a new metric access method - the Slim-tree, which allows the indexing and the retrieval of the images through their extracted features.
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Vokřál, David. "Medicínské centrum." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-226665.

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This thesis deals with the detailed documentation of the medical center . Estimated location of this building is on land No. 677/1 in Kutna Hora in the hospital Kutna Hora in the administrative area of Kutna Hora in Central Bohemia. Currently no land use. The land is owned by the investor , which is the Central Region. Newly built four-storey medical center will serve mainly for the provision of outpatient health care professional doctors and pharmacy , then there will be placed exit station emergency medical services and emergency medical call center services 155, 112 and emergency office space. The project was based on the layout of the study. The result of this work is to complete detailed documentation of the A building. Documentation includes drawings situation , surveying the situation , floor plans , sections, elevations , drawings, foundations , ceilings and details. Furthermore, a technical report , listing the elements of fire safety of the building , Thermal and acoustic assessment of the construction , specializing processed from concrete structures and building ventilation .
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Pilný, Ondřej. "Zdravotnické středisko Hlinsko." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-372049.

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This diploma thesis deals with the design and elaboration process of a project documentation of medical center in city Hlinsko. New building is situated in the northern part of the city in the area determined for constructions of public infrastructure. It´s a four-floor object with partial basement and slant mansard and flat vegetative roof.Object is based on foundation strips and footings made from reinforced concrete.The bearing and internal walls are designed from KALKSANDSTEIN lime sand blocks.The beams and collums are used in the placed designed with open disposition.The ceiling in 1.PP is designed as reinforced concrete for securing fire safety.The rest od ceiling constructions is designed from prestressed concrete panels SPIROLL,with exception in 4.NP,where the ceiling constructions are made from solid roof system YTONG KOMFORT,which is layed on frame system made of steel and reinforced concrete.The peripheral walls of 1.PP are made from lost formwork, which is insulated with extruded polystyrene.The walls in floors above ground are insulated with combination of external thermal insulation system (ETICS) and ventilated facade with CEMBRIT SOLID and PATINA facade cladding panels. The building is functionally divided into several part.Cafe, pharmacy, ambulance and medical center, each with it´s own entrance.Pharmacy is equipped with shop, medicine mixer and storage.Ambulance is equipped with garage slots, background for employees, room of crisis preparedness and operating center.Medical centrum is equipped with emergency, RTG, operating theater, rehabilitations and other types of examination rooms.Each examination room is equipped with waiting room.For more comfort the center has a background for employees.The whole object is designed with forced air exchange. Designed object is barrier-free.In front of the building is situated parking slots for cars, motorbikes and ambulances.Total number of slots is 74 places, which 5 is designed for disabled people.
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Roberti, Andrea. "Medical SLAM in an autonomous robotic system." Doctoral thesis, 2022. http://hdl.handle.net/11562/1069866.

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One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-operative morphology and motion of soft-tissues. This information is prerequisite to the registration of multi-modal patient-specific data for enhancing the surgeon’s navigation capabilities by observing beyond exposed tissue surfaces and for providing intelligent control of robotic-assisted instruments. In minimally invasive surgery (MIS), optical techniques are an increasingly attractive approach for in vivo 3D reconstruction of the soft-tissue surface geometry. This thesis addresses the ambitious goal of achieving surgical autonomy, through the study of the anatomical environment by Initially studying the technology present and what is needed to analyze the scene: vision sensors. A novel endoscope for autonomous surgical task execution is presented in the first part of this thesis. Which combines a standard stereo camera with a depth sensor. This solution introduces several key advantages, such as the possibility of reconstructing the 3D at a greater distance than traditional endoscopes. Then the problem of hand-eye calibration is tackled, which unites the vision system and the robot in a single reference system. Increasing the accuracy in the surgical work plan. In the second part of the thesis the problem of the 3D reconstruction and the algorithms currently in use were addressed. In MIS, simultaneous localization and mapping (SLAM) can be used to localize the pose of the endoscopic camera and build ta 3D model of the tissue surface. Another key element for MIS is to have real-time knowledge of the pose of surgical tools with respect to the surgical camera and underlying anatomy. Starting from the ORB-SLAM algorithm we have modified the architecture to make it usable in an anatomical environment by adding the registration of the pre-operative information of the intervention to the map obtained from the SLAM. Once it has been proven that the slam algorithm is usable in an anatomical environment, it has been improved by adding semantic segmentation to be able to distinguish dynamic features from static ones. All the results in this thesis are validated on training setups, which mimics some of the challenges of real surgery and on setups that simulate the human body within Autonomous Robotic Surgery (ARS) and Smart Autonomous Robotic Assistant Surgeon (SARAS) projects.
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Roberti, Andrea. "Medical SLAM in an autonomous robotic system." Doctoral thesis, 2022. http://hdl.handle.net/11562/1069606.

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One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-operative morphology and motion of soft-tissues. This information is prerequisite to the registration of multi-modal patient-specific data for enhancing the surgeon’s navigation capabilities by observing beyond exposed tissue surfaces and for providing intelligent control of robotic-assisted instruments. In minimally invasive surgery (MIS), optical techniques are an increasingly attractive approach for in vivo 3D reconstruction of the soft-tissue surface geometry. This thesis addresses the ambitious goal of achieving surgical autonomy, through the study of the anatomical environment by Initially studying the technology present and what is needed to analyze the scene: vision sensors. A novel endoscope for autonomous surgical task execution is presented in the first part of this thesis. Which combines a standard stereo camera with a depth sensor. This solution introduces several key advantages, such as the possibility of reconstructing the 3D at a greater distance than traditional endoscopes. Then the problem of hand-eye calibration is tackled, which unites the vision system and the robot in a single reference system. Increasing the accuracy in the surgical work plan. In the second part of the thesis the problem of the 3D reconstruction and the algorithms currently in use were addressed. In MIS, simultaneous localization and mapping (SLAM) can be used to localize the pose of the endoscopic camera and build ta 3D model of the tissue surface. Another key element for MIS is to have real-time knowledge of the pose of surgical tools with respect to the surgical camera and underlying anatomy. Starting from the ORB-SLAM algorithm we have modified the architecture to make it usable in an anatomical environment by adding the registration of the pre-operative information of the intervention to the map obtained from the SLAM. Once it has been proven that the slam algorithm is usable in an anatomical environment, it has been improved by adding semantic segmentation to be able to distinguish dynamic features from static ones. All the results in this thesis are validated on training setups, which mimics some of the challenges of real surgery and on setups that simulate the human body within Autonomous Robotic Surgery (ARS) and Smart Autonomous Robotic Assistant Surgeon (SARAS) projects.
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Raftos, Peter W. "Healthy rats and sick people : sickness, healing and the spirit world in a Manila slum." Phd thesis, 1999. http://hdl.handle.net/1885/147885.

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Books on the topic "Medical SLAM"

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Slim With Tina: The Easy Way to Lose Weight and Keep It Off. Cork: Mercier Press, 2015.

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Gordon, Hendricks, ed. Slim to none: A journey through the wasteland of anorexia treatment. Chicago: Contemporary Books, 2003.

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A, Mannan M. Burden of disease on the urban poor: A study of morbidity and utilisation of healthcare among slum dwellers in Dhaka city. Dhaka: Bangladesh Institute of Development Studies (BIDS), 2018.

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James, Heather F. A fragmented masterpiece: Recovering the biography of the Hilton of Cadboll Pictish cross-slab. Edinburgh: Society of Antiquaries of Scotland, 2008.

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Somers, Suzanne. Suzanne Somers' slim and sexy forever: The hormone solution for permanent weight loss and optimal living. New York: Crown Publishers, 2005.

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Somers, Suzanne. Suzanne Somers' slim and sexy forever: The hormone solution for permanent weight loss and optiomal living. New York: Random House Large Print, 2005.

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Somers, Suzanne. Suzanne Somers' slim and sexy forever: The hormone solution for permanent weight loss and optiomal living. New York: Random House Large Print, 2005.

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Somers, Suzanne. Suzanne Somers' slim and sexy forever: The hormone solution for permanent weight loss and optimal living. New York: Crown Publishers, 2005.

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Hastings, Charles J. Report of the Medical Health Officer dealing with the recent investigation of slum conditions in Toronto, embodying recommendations for the amelioration of the same. [Toronto?: s.n., 1997.

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The Sat Word Slam Rhyme Your Way To A Better Vocabulary And Higher Sat And Act Scores. Adams Media Corporation, 2009.

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Book chapters on the topic "Medical SLAM"

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Mountney, Peter, and Guang-Zhong Yang. "Motion Compensated SLAM for Image Guided Surgery." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 496–504. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15745-5_61.

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Arnau Prieto, Raúl, José Manuel Cuadra-Troncoso, José Ramón Álvarez-Sánchez, and Israel Navarro Santosjuanes. "Reactive Navigation and Online SLAM in Autonomous Frontier-Based Exploration." In Natural and Artificial Computation in Engineering and Medical Applications, 45–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38622-0_5.

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Zhou, Haoyin, and Jagadeesan Jayender. "EMDQ-SLAM: Real-Time High-Resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 331–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87202-1_32.

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O'Brien, Daniel Paul. "Media Ownership and Digital Authenticity in Slum TV." In Media Ownership in Africa in the Digital Age, 248–65. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003111924-18.

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Kholer, W., G. Papanicolaou, and B. White. "Reflection and Transmission of Acoustic Waves by a Locally-Layered Random Slab." In Diffuse Waves in Complex Media, 347–81. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4572-5_12.

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Carlomusto, L., A. Pianese, L. M. Socio, P. Kotsiopoulos, and T. Calderon. "Temperature Distribution in A Porous Slab with Random Thermophysical Characteristic." In Convective Heat and Mass Transfer in Porous Media, 617–23. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3220-6_19.

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Greffet, J. J., J. B. Thibaud, L. Roux, P. Mareschal, and N. Vukadinovic. "Scattering by a Thin Slab: Comparison Between Radiative Transfer and Electromagnetic Simulation." In Waves and Imaging through Complex Media, 299–305. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0975-1_16.

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Maia, Rousiley C. M., and Simone Maria Rocha. "The Morality of Recognition: Adolescent Slum-Dwellers Discuss a TV Series Representation of Their Lives." In Recognition and the Media, 47–72. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137310439_4.

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Wu, Ru-Shan. "Spatio-temporal distribution of seismic power for a random absorptive slab in a half space." In Wave Propagation in Complex Media, 273–87. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1678-0_13.

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Di Tore, Stefano, Giuseppe De Simone, and Michele Domenico Todino. "Learning by Making. 3D Printing Guidelines for Teachers." In Makers at School, Educational Robotics and Innovative Learning Environments, 181–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_24.

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AbstractFor many years now, and particularly since the 1930s, educational research has focused on the idea that all authentic education comes from experience. Nowadays, activism has found a natural affinity with the maker movement. Fab labs and creative ateliers have become more popular, especially for educational purposes, suggesting the coming of new types of “learning by doing.” However, these new forms of “learning by doing” must take account of the technologies already present in a particular creative space used by makers. These technologies are mainly: 3D printers, CNC milling machines, 3D scanners, laser cutters, etc. This short paper begins with a premise of educational ergonomics, to introduce teachers, media educators and animatori digitali (digital coordinators) to the didactic implications of introducing different human–machine interfaces (HMI) into their practices. In particular we describe the main features of SLA and SLS 3D printing. The impacts we discuss of 3D printing are resolution, types of printing materials, average printing times, post-processing, and cost. We have selected these criteria because it has been documented that their impact is very heavy in certain school subjects. For example, an FDM 3D printer can be useful in terms of the ease of printing an object, but it may not reach the necessary level of detail for a meticulous reproduction of art objects or precision mechanisms that an SLA 3D printer can achieve.
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Conference papers on the topic "Medical SLAM"

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Zukowski, Marcin, Krzysztof Matus, Dawid Kamienski, Miroslaw Kondratiuk, Leszek Ambroziak, and Barbara Kuc. "SLAM and obstacle detection for tall autonomous robotic medical assistant." In 2ND INTERNATIONAL CONFERENCE ON CHEMISTRY, CHEMICAL PROCESS AND ENGINEERING (IC3PE). Author(s), 2018. http://dx.doi.org/10.1063/1.5066547.

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Ramadhan, Sami Fauzan, Muhammad Taufik, Dessy Novita, and Arjon Turnip. "Design of 2D LiDAR-based Indoor SLAM for Medical Robot Covid-19." In 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS). IEEE, 2021. http://dx.doi.org/10.1109/aims52415.2021.9466015.

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Kyme, Andre, Stephen Se, Steven Meikle, Clive Baldock, Will Ryder, and Roger Fulton. "Novel SLAM-based markerless motion tracking of conscious unrestrained rodents in PET." In 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/MIC). IEEE, 2011. http://dx.doi.org/10.1109/nssmic.2011.6153667.

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Caccianiga, Guido, and Katherine J. Kuchenbecker. "Dense 3D Reconstruction Through Lidar: A New Perspective on Computer-Integrated Surgery." In The Hamlyn Symposium on Medical Robotics: "MedTech Reimagined". The Hamlyn Centre, Imperial College London London, UK, 2022. http://dx.doi.org/10.31256/hsmr2022.31.

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Technical innovations in sensing and computation are quickly advancing the field of computer-integrated surgery. From one side, spectral imaging and biophoton- ics are strongly contributing to intraoperative diagnostics and decision making. Simultaneously, learning-based algorithms are reshaping the concept of assistance and prediction in surgery. In this fast-evolving panorama, we strongly believe there is still a need for robust geometric reconstruction of the surgical field whether the goal is traditional surgical assistance or partial or full autonomy. 3D reconstruction in surgery has been investigated almost only in the space of mono and stereoscopic visual imaging because surgeons always view the proce- dure through a clinical endoscope. Compared to using traditional computer vision, deep learning has made significant progress in creating high-quality 3D recon- structions and dense maps from such data streams, especially for monocular simultaneous localization and mapping (SLAM) [1]. The main limitations are linked to reliability, generalization, and computational cost. Meanwhile, lidar (light detection and ranging) has greatly expanded in use, especially in SLAM for robotics, terrestrial vehicles, and drones. Lidar sensors explicitly measure the depth field rather than inferring it from camera images. The technology is evolving quickly thanks to the upsurge of mixed and augmented reality in consumer mobile devices [2]: high-resolution, short- range, miniaturized lidar sensors are expected soon. In parallel to these developments, the concept of multiple-viewpoint surgical imaging was proposed in the early 2010’s in the context of magnetic actuation and micro-invasive surgery [3]. In routine clinical practice, however, the use of multiple trans-abdominal cannulae still limits the kinematics of the camera and instruments to have a fixed pivot point at the body wall. For this reason, here we propose an approach in which each surgical cannula can potentially hold a miniature lidar. We envision that exploring this powerful sensing tech- nology and enabling multi-viewpoint imaging without disrupting the current surgical workflow will yield far more accurate and complete 3D reconstructions of the surgical field, which opens new opportunities for the future of computer-integrated surgery.
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Sharma, Amy, Carey Floyd, Brian Harrawood, Georgia Tourassi, Anuj Kapadia, Janelle Bender, Joseph Lo, and Calvin Howell. "Rotating slat collimator design for high-energy near-field imaging." In Medical Imaging, edited by Michael J. Flynn and Jiang Hsieh. SPIE, 2006. http://dx.doi.org/10.1117/12.653929.

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Turlington, Janice Z., and William E. Higgins. "Improved techniques for fast sliding thin-slab volume visualization." In Medical Imaging 2000, edited by Seong K. Mun. SPIE, 2000. http://dx.doi.org/10.1117/12.383033.

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Raphael, David T., Diane McIntee, Jay S. Tsuruda, Patrick Colletti, Raymond Tatevossian, and James Frazier. "Plexus structure imaging with thin slab MR neurography: rotating frames, fly-throughs, and composite projections." In Medical Imaging, edited by Armando Manduca and Amir A. Amini. SPIE, 2006. http://dx.doi.org/10.1117/12.651325.

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Pereira da Cruz Júnior, Gilmar, Lucas Vinicius Do Carmo Matos, Héctor Azpúrua, Gustavo Pessin, and Gustavo Medeiros Freitas. "Investigação de Técnicas LiDAR SLAM para um Dispositivo Robótico de Inspeção de Ambientes Confinados." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1041.

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A exploração e monitoramento de ambientes confinados, presentes em áreas de produção industrial e mineração, representam riscos aos operadores envolvidos. Buscando maior segurança operacional, o Instituto Tecnológico Vale, em parceria com a Universidade Federal de Minas Gerais, vem desenvolvendo o EspeleoRobô, uma plataforma robótica utilizada na inspeção de cavidades naturais e galerias de barragens e dreno. Estes ambientes apresentam grandes desafios à robótica, principalmente em relação a estimação da pose do robô e geração de mapas do ambiente, essenciais para a navegação autônoma. Uma estratégia adequada consiste na aplicação de técnicas de Localização e Mapeamento Simultâneos (SLAM) baseadas em sensores LiDAR, que fornecem medidas de distâncias precisas, independente das condições de iluminação. Este artigo investiga três técnicas de LiDAR SLAM – LOAM-Velodyne, LeGOLOAM e HDL-Graph-SLAM, buscando determinar a implementação mais adequada para o EspeleoRobô. Experimentos em laboratório e campo são utilizados para comparar o desempenho das técnicas, analisando precisão, nível de ruído e tempo de processamento para o cálculo da odometria e registro do mapa.
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Rozler, Mike, and Wei Chang. "A variable-pitch slat stack for task-specific slit-slat collimation: A preliminary report." In 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference (2012 NSS/MIC). IEEE, 2012. http://dx.doi.org/10.1109/nssmic.2012.6551803.

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De Smet, J., R. Van Holen, S. Staelens, S. Vandenberghe, and I. Lemahieu. "Slat collimated multipinhole human brain SPECT." In 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774169.

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