Relevant bibliographies by topics / Image guided procedure

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

Academic literature on the topic 'Image guided procedure'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Image guided procedure"

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Thomas, Roy F., William T. Monacci, and Eric A. Mair. "Endoscopic Image-Guided Transethmoid Pituitary Surgery." Otolaryngology–Head and Neck Surgery 127, no. 5 (November 2002): 409–16. http://dx.doi.org/10.1067/mhn.2002.129821.

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OBJECTIVE: We describe a new endoscopic transethmoid approach for pituitary surgery and to compare it with other surgical techniques. STUDY DESIGN AND SETTING: Eleven patients undergoing pituitary surgery from September 2000 through January 2002 underwent an image-guided endoscopic transethmoid procedure to remove pituitary tumors. Ease of approach, resection, exposure of the surgical field, and operative complications were documented. RESULTS: Endoscopic ethmoidectomy permits enhanced exposure and simplified tumor resection. The use of one nostril to stabilize the endoscope and the other to pass instruments affords a bimanual procedure that avoids the difficulty of small nares and keeping the scope fixed while exchanging instruments. Operative morbidity was low with no significant complications in this pilot study. CONCLUSIONS: This approach opens a generous operative exposure while safely allowing room to endoscopically maneuver and affords direct access should revision surgery be needed. SIGNIFICANCE: This procedure uses a technique familiar to otolaryngologists and may be used for pituitary and other skull base tumors. The transseptal approach to the sella turcica is the most commonly performed procedure to reach the pituitary gland. Three major variations of the transseptal approach are used: sublabial approach, external rhinoplasty approach, and transnasal approach. Each has unique advantages and disadvantages relative to each other and the endoscopic procedure, apart from the shared transseptal route ( Table 1 ). The techniques have been described elsewhere previously. 1–3 More recently, endoscopy has been used to aid the approach to the pituitary. The first endoscopic procedures used the transseptal dissection route through a standard sublabial incision, with the endoscope passed through a self-retaining speculum. 4–6 In other cases the endoscope was used for the approach only, with the binocular operating microscope subsequently used for the tumor resection. 7 Except for the wide field of vision afforded by the endoscopic approach, the morbidity of a transseptal dissection remained. More recent advances have used an endonasal approach, which allows the surgeon to bypass the transseptal dissection. 8–11 The majority of procedures performed use one nostril to pass the endoscope and other instruments, with limited endoscopic operative maneuverability. We introduce an endonasal transethmoid approach bypassing the need for a nasal retractor, headrest, and postoperative nasal packing, while providing enhanced endoscopic operative maneuverability through bimanual instrumentation using both nares and an endoscope stabilizer.
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Batta, Dr Anil, Umesh Kumar, and Preeti Sharma. "Ultrasound Guided Injections in Shoulder as Compared to Direct Injections." South Asian Research Journal of Applied Medical Sciences 4, no. 5 (September 30, 2022): 51–55. http://dx.doi.org/10.36346/sarjams.2022.v04i05.004.

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Ultrasound, also known as sonography, is an imaging method that uses high-frequency sound waves to produce real-time and dynamic images of the body. Ultrasound is increasingly being used to assist Sports Medicine Physicians, Rheumatologists, Orthopedists, and Primary Care. Procedural planning prior to any procedure increases efficiency in the operative field and reduces patient discomfort. Ultrasound is commonly utilized in regenerative medicine techniques due to the ability to visualize soft tissue targets with high resolution. Ultrasound is beneficial in both diagnostic purposes and image-guidance for procedures. Understanding how to quickly optimize the ultrasound image and ergonomics for the procedure will greatly improve your procedure workflow.
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Carriero, Serena, Gianmarco Della Pepa, Lorenzo Monfardini, Renato Vitale, Duccio Rossi, Andrea Masperi, and Giovanni Mauri. "Role of Fusion Imaging in Image-Guided Thermal Ablations." Diagnostics 11, no. 3 (March 19, 2021): 549. http://dx.doi.org/10.3390/diagnostics11030549.

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Thermal ablation (TA) procedures are effective treatments for several kinds of cancers. In the recent years, several medical imaging advancements have improved the use of image-guided TA. Imaging technique plays a pivotal role in improving the ablation success, maximizing pre-procedure planning efficacy, intraprocedural targeting, post-procedure monitoring and assessing the achieved result. Fusion imaging (FI) techniques allow for information integration of different imaging modalities, improving all the ablation procedure steps. FI concedes exploitation of all imaging modalities’ strengths concurrently, eliminating or minimizing every single modality’s weaknesses. Our work aims to give an overview of FI, explain and analyze FI technical aspects and its clinical applications in ablation therapy and interventional oncology.
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Hendriks, A. A., Z. Kis, M. Glisic, W. M. Bramer, and T. Szili-Torok. "Pre-procedural image-guided versus non-image-guided ventricular tachycardia ablation—a review." Netherlands Heart Journal 28, no. 11 (September 15, 2020): 573–83. http://dx.doi.org/10.1007/s12471-020-01485-z.

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Abstract Background Magnetic resonance imaging and computed tomography in patients with ventricular tachycardia (VT) after myocardial infarction (MI) helps to delineate scar from healthy tissue. Image-guided VT ablation has not yet been studied on a large scale. Objective The aim of the meta-analysis was to compare the long-term outcome of image-guided VT ablation with a conventional approach for VT after MI. Methods Eight electronic bibliographic databases were searched to identify all relevant studies from 2012 until 2018. The search for scientific literature was performed for studies that described the outcome of VT ablation in patients with an ischaemic substrate. The outcome of image-guided ablation was compared with the outcome of conventional ablations. Results Of the 2990 citations reviewed for eligibility, 38 articles—enrolling a total of 7748 patients—were included into the meta-analysis. Five articles included patients with image-guided ablation. VT-free survival was 82% [74–90] in the image-guided VT ablation versus 59% [54–64] in the conventional ablation group (p < 0.001) during a mean follow-up of 35 months. Overall survival was 94% [90–98] in the image-guided versus 82% [76–88] in the conventional VT ablation group (p < 0.001). Conclusions Image-guided VT ablation in ischaemic VT was associated with a significant benefit in VT-free and overall survival as compared with conventional VT ablation. Visualising myocardial scar facilitates substrate-guided ablation procedures, pre-procedurally and by integrating imaging during the procedure, and may consequently improve long-term outcome.
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Tam, Alda, and Sharjeel Sabir. "Percutaneous Image-Guided Biopsy of the Spleen." Digestive Disease Interventions 02, no. 02 (June 2018): 101–5. http://dx.doi.org/10.1055/s-0038-1657860.

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AbstractPercutaneous spleen biopsy has a small but important role in the diagnostic approach to splenic lesions. Nonetheless, there remain concerns about the safety of the procedure, limiting its use despite evidence that splenic biopsy performed with optimum technique has comparable diagnostic yield and safety as other solid organ biopsies. To assure appropriate use of percutaneous image-guided spleen biopsy, we discuss the rationale, technique, and outcomes of the procedure.
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Wang, Guanglei, Pengyu Wang, Yan Li, Tianqi Su, Xiuling Liu, and Hongrui Wang. "A Motion Artifact Reduction Method in Cerebrovascular DSA Sequence Images." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 08 (April 8, 2018): 1854022. http://dx.doi.org/10.1142/s0218001418540228.

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Digital Subtraction Angiography (DSA) can be used for diagnosing the pathologies of vascular system including systemic vascular disease, coronary heart disease, arrhythmia, valvular disease and congenital heart disease. Previous studies have provided some image enhancement algorithms for DSA images. However, these studies are not suitable for automated processes in huge amounts of data. Furthermore, few algorithms solved the problems of image contrast corruption after artifact removal. In this paper, we propose a fully automatic method for cerebrovascular DSA sequence images artifact removal based on rigid registration and guided filter. The guided filtering method is applied to fuse the original DSA image and registered DSA image, the results of which preserve clear vessel boundary from the original DSA image and remove the artifacts by the registered procedure. The experimental evaluation with 40 DSA sequence images shows that the proposed method increases the contrast index by 24.1% for improving the quality of DSA images compared with other image enhancement methods, and can be implemented as a fully automatic procedure.
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Maimone, Santo, Andrey P. Morozov, Annamaria Wilhelm, Inna Robrahn, Tedra D. Whitcomb, Kathryn Y. Lin, and Robert W. Maxwell. "Understanding Patient Anxiety and Pain During Initial Image-guided Breast Biopsy." Journal of Breast Imaging 2, no. 6 (September 29, 2020): 583–89. http://dx.doi.org/10.1093/jbi/wbaa072.

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Abstract Objective Image-guided breast biopsies are safe, efficient, and reliable. However, patients are often anxious about these procedures, particularly those who have never undergone a prior biopsy. Methods This prospective IRB-approved study surveyed 163 patients undergoing their first breast biopsy. Participants provided informed consent and completed a short written survey prior to and immediately after their procedure. Level of anxiety as well as anticipated and actual levels of pain prior to and following the procedure were assessed using a 0–10-point Likert scale. Correlation, bivariate, and regression analyses were performed. Results Regarding the biopsy experience, 133/163 (81.6%) of patients reported it as better than expected. Anxiety decreased significantly from a prebiopsy mean score of 5.52 to a postbiopsy mean score of 2.25 (P &lt; 0.001). Average and greatest pain experienced during the procedure had mean scores of 2.03 and 2.77, respectively, both significantly lower compared to preprocedural expectation (mean 4.53) (P &lt; 0.001). Lower pain scores were reported in US-guided procedures compared to stereotactic- and MRI-guided biopsies (P &lt; 0.001). No significant differences in pain scores were seen in those undergoing single versus multiple biopsies, or when benign, elevated-risk, or malignant lesions were sampled. Positive correlations were seen with prebiopsy anxiety levels and procedural pain as well as with anticipated pain and actual procedural pain. Conclusion Image-guided biopsies are often better tolerated by patients than anticipated. We stress the benefit of conveying this information to patients prior to biopsy, as decreased anxiety correlates with lower levels of pain experienced during the procedure.
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Cornman-Homonoff, Joshua, and David Madoff. "Image-guided Biopsy of Mesenteric, Omental, and Peritoneal Disease." Digestive Disease Interventions 02, no. 02 (June 2018): 106–15. http://dx.doi.org/10.1055/s-0038-1660499.

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AbstractThe peritoneum, omenta, and mesenteries can be affected by a myriad of disease processes, but many common pathologies cannot be definitively distinguished based on clinical history and imaging characteristics alone. Percutaneous image-guided biopsy is a safe, well-tolerated procedure with high diagnostic accuracy, which has supplanted more invasive means of obtaining tissue and is increasingly essential in directing patient care. An understanding of the indications, pre-procedural evaluation, technical considerations, and potential complications is essential for the radiologist who performs these procedures, and more broadly for any clinician who may request them.
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Yin, Fang-Fang, Samuel Ryu, Munther Ajlouni, Hui Yan, Jian-Yue Jin, Sung-Woo Lee, Jinkoo Kim, Jack Rock, Mark Rosenblum, and Jae Ho Kim. "Image-guided procedures for intensity-modulated spinal radiosurgery." Journal of Neurosurgery 101, Supplement3 (November 2004): 419–24. http://dx.doi.org/10.3171/sup.2004.101.supplement3.0419.

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✓ Radiosurgery for brain tumors has been well established in the radiation oncology and neurosurgery fields. Radiosurgery of extracranial tumors such as those involving the spine is, however, still in the early stage because of difficulties in patient immobilization and organ motion. The authors describe an image-guided procedure for intensity-modulated spinal radiosurgery that was developed at Henry Ford Hospital.
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Zang, Xiaonan, Wennan Zhao, Jennifer Toth, Rebecca Bascom, and William Higgins. "Multimodal Registration for Image-Guided EBUS Bronchoscopy." Journal of Imaging 8, no. 7 (July 8, 2022): 189. http://dx.doi.org/10.3390/jimaging8070189.

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The state-of-the-art procedure for examining the lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope. The EBUS bronchoscope integrates two modalities into one device: (1) videobronchoscopy, which gives video images of the airway walls; and (2) convex-probe EBUS, which gives 2D fan-shaped views of extraluminal structures situated outside the airways. During the procedure, the physician first employs videobronchoscopy to navigate the device through the airways. Next, upon reaching a given node’s approximate vicinity, the physician probes the airway walls using EBUS to localize the node. Due to the fact that lymph nodes lie beyond the airways, EBUS is essential for confirming a node’s location. Unfortunately, it is well-documented that EBUS is difficult to use. In addition, while new image-guided bronchoscopy systems provide effective guidance for videobronchoscopic navigation, they offer no assistance for guiding EBUS localization. We propose a method for registering a patient’s chest CT scan to live surgical EBUS views, thereby facilitating accurate image-guided EBUS bronchoscopy. The method entails an optimization process that registers CT-based virtual EBUS views to live EBUS probe views. Results using lung cancer patient data show that the method correctly registered 28/28 (100%) lymph nodes scanned by EBUS, with a mean registration time of 3.4 s. In addition, the mean position and direction errors of registered sites were 2.2 mm and 11.8∘, respectively. In addition, sensitivity studies show the method’s robustness to parameter variations. Lastly, we demonstrate the method’s use in an image-guided system designed for guiding both phases of EBUS bronchoscopy.
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Dissertations / Theses on the topic "Image guided procedure"

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Girum, Kibrom Berihu. "Artificial intelligence for image-guided prostate brachytherapy procedures." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCI012.

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Les procédures de radiothérapie visent à exposer les cellules cancéreuses aux rayonnements ionisants. L'implantation permanente de sources radioactives à proximité des cellules cancéreuses est une technique classique pour guérir le cancer de la prostate à un stade précoce. Le processus implique l'acquisition d'images du patient, la délimitation des volumes cibles et des organes à risque à l'aide de l'imagerie, la planification du traitement, l’implantation de grains radioactifs guidées par l'image et l'évaluation post-implantatoire. L'analyse d'images médicales basée sur l'intelligence artificielle peut être bénéfique pour des procédures de radiothérapie. Elle peut aider à faciliter et à améliorer l'efficacité des procédures en segmentant automatiquement les organes cibles les images et en extrapolant des informations cliniquement pertinentes. Cependant, la délimitation manuelle des volumes cibles est toujours la routine standard pour la plupart des centres cliniques, ce qui prend du temps et n'est pas à l'abri de variations intra et inter-observateurs. Dans cette thèse, nous visons à développer des solutions de traitement d'images médicales pour automatiser divers étapes des procédures actuelles de curiethérapie de la prostate guidée par l'image, notamment l'identification des grains radioactifs à partir d'images de scanner X et la segmentation du volume cible clinique à partir d'images médicales.Dans la première application, nous avons développé et évalué une nouvelle technique de détection et d'identification des grains radioactifs implantés sur des scanner X post-implantatoire en rapport avec la curiethérapie prostatique. Cela permet aux experts d'évaluer la qualité du positionnement de grains radioactifs guidées par l'image en calculant les paramètres dosimétriques, en particulier le calcul de dosimétrie post-implantoire de la curiethérapie de rattrapage de la prostate réalisée des années après la curiethérapie initiale dans le cadre de récidive de cancer de la prostate. La deuxième application impliquait le développement de méthodes d'apprentissage profond pour délimiter automatiquement les volumes cibles cliniques. Nous avons évalué les méthodes proposées sur une base de données cliniques d'échographie transrectale peropératoire et des images scanner X post-implantoires de la curiethérapie prostatique guidée par l'image. L'évaluation de notre méthode a été ensuite étendue à d'autres applications d'analyse d'images médicales. Nos méthodes ont donné des résultats prometteurs menant à une perspective essentielle pour des tâches d'analyse d'images médicales efficaces et précises. Elles peuvent être rebuvant être appliquées pour automatiser la gestion des procédures de curiethérapie prostatique guidée par l'image
Radiotherapy procedures aim at exposing cancer cells to ionizing radiation. Permanently implanting radioactive sources near to the cancer cells is a typical technique to cure early-stage prostate cancer. It involves image acquisition of the patient, delineating the target volumes and organs at risk on different medical images, treatment planning, image-guided radioactive seed delivery, and post-implant evaluation. Artificial intelligence-based medical image analysis can benefit radiotherapy procedures. It can help to facilitate and improve the efficiency of the procedures by automatically segmenting target organs and extrapolating clinically relevant information. However, manual delineation of target volumes is still the standard routine for most clinical centers, which is time-consuming, challenging, and not immune to intra- and inter-observer variations. In this thesis, we aim to develop medical image processing solutions to automate various components of the current image-guided prostate brachytherapy procedures, including radioactive seeds identification from CT images and clinical target volume segmentation from different medical images. In the first application, we developed and evaluated a new technique for detecting and identifying implanted radioactive seeds on post-implant CT scans of prostate brachytherapy. This allows experts to evaluate the quality of the image-guided radioactive seed delivery by computing the delivered dosimetric parameters, specifically to compute the post-implant dosimetry of salvage prostate brachytherapy performed years after primary brachytherapy in the treatment of relapsed prostate cancer. The second application involved the development of deep learning methods to delineate clinical target volumes automatically. We evaluated the proposed methods on a clinical database of intraoperative transrectal ultrasound and post-implant CT images of image-guided prostate brachytherapy. The evaluation is then extended to other medical image analysis applications. Our methods yielded promising results and opening important perspectives towards efficient and accurate medical image analysis tasks. They can be applied to automate the management of image-guided prostate brachytherapy procedures
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Taliaferro, Andrew S. "Introducing iPad-Based Multimedia Education During Informed Consent for Image-Guided Breast Procedures." Thesis, Harvard University, 2017. http://nrs.harvard.edu/urn-3:HUL.InstRepos:32676113.

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Purpose: To determine whether multimedia education during informed consent for image-guided breast procedures improves patient understanding and experience. Methods: 240 women having ultrasound-guided or stereotactic breast biopsy at Beth Israel Deaconess Medical Center were included in the study. Each was randomized to one of four study arms (A-D). Arm A consisted of standard paper informed consent by the radiology resident, fellow, nurse practitioner, or breast imaging attending. Arm B added informed consent on an iPad. Arm C added real-time review of the patient’s breast imaging. Arm D consisted of a prototype iPad application in which the patient watched an educational video discussing the standard informed consent followed by iPad consent. Objective understanding was assessed for all patients using the MacArthur Competency Assessment Tool for Treatment (MacCAT-T). Subjective patient experience, including anxiety, provider trust, and user experience with the multimedia was assessed through pre-consent, peri-consent, and post-procedure surveys. One-way ANOVA, Pearson’s r correlation, and chi-squared analysis was performed to evaluate for a difference between the 4 study arms. Results: The mean age of study participants was 53.3 years ( 12.4 years SD). The study population to date was 59.6% White, 17.5% Black, 7.5% Hispanic, 12.1% Asian, 0.4% Pacific Islander, 1.7% Biracial, and 1.3% Other. 78.3% of patients spoke English and did not use an interpreter, and 21.7% of patients required an interpreter. There was no significant difference between study arms in MacCAT-T understanding summary rating among all patients (P = 0.19). Among all patients, patients in arm D were more likely to agree that the video improved their understanding of procedure steps than those in the imaging arm reported about the imaging presentation (2 = 9.8, P=0.04). Non-White patients in arm C reported improved subjective understanding (9.8 0.7 SD) than those in arm B (9.0 1.6 SD, P = 0.05). Non-White patients in arm C also reported improved overall experience (9.8 0.5 SD) compared to those in arm B (9.2 0.9 SD, P = 0.02). Non-English-speaking patients in arm C reported improved post-procedure comfort with the provider who performed the procedure (9.9 0.6 SD vs. 8.8 1.7 SD, P = 0.04) and overall experience (9.9 0.3 SD vs. 9.0 0.9 SD P < 0.01) than those in arm B. Non-White patients in arm B experienced increased anxiety between the pre-consent and peri-consent surveys (0.6 0.9 SD) as compared to those in arm A whose anxiety decreased between those two points in time (-0.2 1.1 SD, P = 0.03). Conclusions: Viewing an informational procedure video detailing the benefits, risks, alternatives and steps of the procedure has no effect on objective patient understanding, but significantly improves subjective understanding of the steps of the procedure among all patients and overall patient experience among non-White patients. Review of imaging as part of the consent process significantly improves subjective understanding among non-White patients, as well as post-procedure comfort with the provider who performed the procedure and overall experience among non-English-speaking patients. Future studies should evaluate the utility of the informational procedure video during the informed consent process for image-guided breast procedures in patients who speak languages other than English.
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Brost, Alexander [Verfasser], and Joachim [Akademischer Betreuer] Hornegger. "Image Processing for Fluoroscopy Guided Atrial Fibrillation Ablation Procedures / Alexander Brost. Betreuer: Joachim Hornegger." Erlangen : Universitätsbibliothek der Universität Erlangen-Nürnberg, 2012. http://d-nb.info/1023597411/34.

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Dorileô, Ederson Antônio Gomes. "Needle modeling, insertion planning and steering for CT or MR image-guided robot-driven percutaneous procedures." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS222/document.

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L’objectif de cette thèse est l’étude et le développement d’un outil de planification de trajectoires adaptatives guidée par robot afin d’assister l’insertion des aiguilles biseautées semi-rigides en procédures percutanées sous imagerie scanner ou IRM. L’approche est basée sur un nouveau modèle de la déflexion de l’aiguille qui permet une prédiction hors ligne des déformations de l’aiguille et une amélioration des performances d’insertion en ligne. Cette amélioration permet de compenser les incertitudes sur les connaissances de l’environnement et les approximations lors de la modélisation de l’aiguille. Les résultats des tests in vitro pour différentes plateformes robotiques ont confirmé la viabilité de la méthode proposée
The goal of this thesis is the study and development of a tool for robot-driven adaptive needle insertion planning in order to assist percutaneous insertions of beveled semi-rigid needles guided by CT or MR images. The approach is based on a novel needle deflection prediction model that provides offline predictions and improve online the needle insertion performance. This improvement allows to compensate for environment uncertainties and approximations of needle-tissue interactions modeling. Results obtained from in vitro tests, using different robot platforms confirmed the viability of our method
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Breen, Michael Scott. "TISSUE RESPONSE TO INTERVENTIONAL MRI-GUIDED THERMAL ABLATION THERAPY." Case Western Reserve University School of Graduate Studies / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=case1080938405.

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Jetter, Siri [Verfasser], and Uwe [Akademischer Betreuer] Oelfke. "Development of a Pencil Beam Algorithm for the fast Calculation of Dose applied in keV Imaging Procedures in Image Guided Radiotherapy / Siri Jetter ; Betreuer: Uwe Oelfke." Heidelberg : Universitätsbibliothek Heidelberg, 2011. http://d-nb.info/1179230493/34.

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MARIS, Bogdan Mihai. "Registration of medical images for applications in minimally invasive procedures." Doctoral thesis, 2014. http://hdl.handle.net/11562/730563.

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Il punto di partenza di questa tesi è l'analisi dei metodi allo stato dell'arte di registrazione delle immagini mediche per verificare se sono adatti ad essere utilizzati per assistere il medico durante una procedura minimamente invasiva , ad esempio una procedura percutanea eseguita manualmente o un intervento teleoperato eseguito per mezzo di un robot . La prima conclusione è che, anche se ci sono tanti lavori dedicati allo sviluppo di algoritmi di registrazione da applicare nel contesto medico, la maggior parte di essi non sono stati progettati per essere utilizzati nello scenario della sala operatoria (OR) anche perché, rispetto ad altre applicazioni , OR richiede anche la validazione, prestazioni in tempo reale e la presenza di altri strumenti . Gli algoritmi allo stato dell'arte sono basati su un iterazione in tre fasi : ottimizzazione - trasformazione - valutazione della somiglianza delle immagini registrate. In questa tesi, studiamo la fattibilità dell'approccio in tre fasi per applicazioni OR, mostrando i limiti che tale approccio incontra nelle applicazioni che stiamo considerando. Verrà dimostrato come un metodo semplice si potrebbe utilizzare nella OR. Abbiamo poi sviluppato una teoria che è adatta a registrare grandi insiemi di dati non strutturati estratti da immagini mediche, tenendo conto dei vincoli della OR . Vista l'impossibilità di lavorare con dati medici di tipo DICOM, verrà impiegato un metodo per registrare dataset composti da insiemi di punti non strutturati. Gli algoritmi proposti sono progettati per trovare la corrispondenza spaziale in forma chiusa tenendo conto del tipo di dati, il vincolo del tempo e la presenza di rumore e /o piccole deformazioni. La teoria e gli algoritmi che abbiamo sviluppato sono derivati dalla teoria delle forme proposta da Kendall (Kendall's shapes) e utilizza un descrittore globale della forma per calcolare le corrispondenze e la distanza tra le strutture coinvolte . Poiché la registrazione è solo una componente nelle applicazioni mediche, l' ultima parte della tesi è dedicata ad alcune applicazioni pratiche in OR che possono beneficiare della procedura di registrazione .
The registration of medical images is necessary to establish spatial correspondences across two or more images. Registration is rarely the end-goal, but instead, the results of image registration are used in other tasks. The starting point of this thesis is to analyze which methods at the state of the art of image registration are suitable to be used in assisting a physician during a minimally invasive procedure, such as a percutaneous procedure performed manually or a teleoperated intervention performed by the means of a robot. The first conclusion is that, even if much previous work has been devoted to develop registration algorithms to be applied in the medical context, most of them are not designed to be used in the operating room scenario (OR) because, compared to other applications, the OR requires also a strong validation, real-time performance and the presence of other instruments. Almost all of these algorithms are based on a three phase iteration: optimize-transform-evaluate similarity. In this thesis, we study the feasibility of this three steps approach in the OR, showing the limits that such approach encounter in the applications we are considering. We investigate how could a simple method be realizable and what are the assumptions for such a method to work. We then develop a theory that is suitable to register large sets of unstructured data extracted from medical images keeping into account the constraints of the OR. The use of the whole radiologic information is not feasible in the OR context, therefore the method we are introducing registers processed dataset extracted from the original medical images. The framework we propose is designed to find the spatial correspondence in closed form keeping into account the type of the data, the real-time constraint and the presence of noise and/or small deformations. The theory and algorithms we have developed are in the framework of the shape theory proposed by Kendall (Kendall's shapes) and uses a global descriptor of the shape to compute the correspondences and the distance between shapes. Since the registration is only a component of a medical application, the last part of the thesis is dedicated to some practical applications in the OR that can benefit from the registration procedure.
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PEIKARI, HAMED. "VALIDATION PLATFORM FOR ULTRASOUND-BASED MONITORING OF THERMAL ABLATION." Thesis, 2011. http://hdl.handle.net/1974/6807.

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PURPOSE: Thermal ablation therapy is an emerging local cancer treatment to destroy cancer tissue using heat. However variations in blood flow and energy absorption rates make it extremely challenging to monitor thermal changes. Insufficient ablation may lead to recurrence of the cancer while excessive ablation may damage adjacent healthy tissues. Ultrasound could be a convenient and inexpensive imaging modality for real-time monitoring of the ablation. For the development and optimization of these methods, it is essential to have ground truth data and a reliable and quantitative validation technique before beginning clinical trials on humans. In this dissertation, my primary focus was to solve the image-to-physical space registration problem using stereotactic fiducials that provide accurate correlation of ultrasound and pathology (ground truth) images. METHOD: A previously developed validation test-bed prototype was evaluated using phantom experiments to identify the shortcomings and limitations. In order to develop an improved validation platform, a simulator was implemented for evaluating registration methods as well as different line fiducial structures. New fiducial line structures were proposed, and new methods were implemented to overcome the limitations of the old system. The new methods were then tested using simulation results and phantom studies. Phantom experiments were conducted to improve the visibility of fiducials, as well as the quality of acquired ultrasound and pathology image datasets. RESULTS: The new system outperforms the previous one in terms of accuracy, robustness, and simplicity. The new registration method is robust to missing fiducials. I also achieved complete fiducial visibility in all images. Enhancing the tissue fixation medium improved the ultrasound data quality. The quality of pathology images were improved by a new imaging method. Simulation results show improvement in pose recovery accuracy using my proposed fiducial structure. This was validated by phantom studies reducing spatial misalignment between the US and pathology image sets. CONCLUSION: A new generation of test-bed was developed that provides a reliable and quantitative validation technique for evaluating and optimizing ablation monitoring methods.
Thesis (Master, Computing) -- Queen's University, 2011-09-29 20:31:55.159
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Books on the topic "Image guided procedure"

1

S, Lee Thomas, and Berkwits Leland, eds. Atlas of image-guided spinal procedures. Philadelphia, PA: Elsevier Saunders, 2013.

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Prithvi, Raj P., ed. Interventional pain management: Image-guided procedures. 2nd ed. Philadelphia, PA: Saunders/Elsevier, 2008.

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Taslakian, Bedros, Aghiad Al-Kutoubi, and Jamal J. Hoballah, eds. Procedural Dictations in Image-Guided Intervention. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40845-3.

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author, Shah Lubdha M., ed. Specialty imaging: Pain management : essentials of image-guided procedures. Salt Lake City, Utah: Amirsys, 2011.

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1951-, Mauro Matthew A., ed. Image-guided interventions. Philadelphia, PA: Saunders/Elsevier, 2008.

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Alterovitz, Ron. Motion planning in medicine: Optimization and simulation algorithms for image-guided procedures. Berlin: Springer, 2008.

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Alterovitz, Ron. Motion planning in medicine: Optimization and simulation algorithms for image-guided procedures. Berlin: Springer, 2008.

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missing], [name. Advanced techniques in image-guided brain and spine surgery. New York, NY: Thieme, 2003.

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1955-, Galloway Robert Lee, American Association of Physicists in Medicine., and Society of Photo-optical Instrumentation Engineers., eds. Medical imaging 2003: Visualization, image-guided procedures, and display : 16-18 February 2003, San Diego, California, USA. Bellingham, Wash: SPIE, 2003.

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Wong, Kenneth H. Medical imaging 2010: Visualization, image-guided procedures, and modeling : 14-16 February 2010, San Diego, California, United States. Bellingham, Wash: SPIE, 2010.

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Book chapters on the topic "Image guided procedure"

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Porter McRoberts, W., and Paul Wu. "Percutaneous Image-Guided Lumbar Decompression Procedure." In Treatment of Chronic Pain Conditions, 241–43. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6976-0_70.

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Cordner, Harold J. "Patient Evaluation and Criteria for Procedure Selection." In Image-Guided Spine Interventions, 39–55. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-0352-5_3.

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Taslakian, Bedros. "Appendix 7—Immediate Procedure Note." In Procedural Dictations in Image-Guided Intervention, 719–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40845-3_155.

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Berman, Jeffrey, and Stephen B. Solomon. "Design and Construction of an Image-Guided Procedure Room." In Intraoperative Imaging and Image-Guided Therapy, 291–99. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7657-3_20.

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Matsumae, Mitsunori, Jun Koizumi, and Atsushi Tsugu. "A Multimodal Diagnostic, Interventional, and Surgical Procedure Suite: The MRI/X-Ray/Operation Suite (MRXO)." In Intraoperative Imaging and Image-Guided Therapy, 311–24. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7657-3_22.

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Beek, Maarten, Purang Abolmaesumi, Suriya Luenam, Richard W. Sellens, and David R. Pichora. "Ultrasound-Guided Percutaneous Scaphoid Pinning: Operator Variability and Comparison with Traditional Fluoroscopic Procedure." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006, 536–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11866763_66.

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Paulsen, Brandon, and Chao Wang. "Example Guided Synthesis of Linear Approximations for Neural Network Verification." In Computer Aided Verification, 149–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13185-1_8.

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AbstractLinear approximations of nonlinear functions have a wide range of applications such as rigorous global optimization and, recently, verification problems involving neural networks. In the latter case, a linear approximation must be hand-crafted for the neural network’s activation functions. This hand-crafting is tedious, potentially error-prone, and requires an expert to prove the soundness of the linear approximation. Such a limitation is at odds with the rapidly advancing deep learning field – current verification tools either lack the necessary linear approximation, or perform poorly on neural networks with state-of-the-art activation functions. In this work, we consider the problem of automatically synthesizing sound linear approximations for a given neural network activation function. Our approach is example-guided: we develop a procedure to generate examples, and then we leverage machine learning techniques to learn a (static) function that outputs linear approximations. However, since the machine learning techniques we employ do not come with formal guarantees, the resulting synthesized function may produce linear approximations with violations. To remedy this, we bound the maximum violation using rigorous global optimization techniques, and then adjust the synthesized linear approximation accordingly to ensure soundness. We evaluate our approach on several neural network verification tasks. Our evaluation shows that the automatically synthesized linear approximations greatly improve the accuracy (i.e., in terms of the number of verification problems solved) compared to hand-crafted linear approximations in state-of-the-art neural network verification tools. An artifact with our code and experimental scripts is available at: https://zenodo.org/record/6525186#.Yp51L9LMIzM."Image missing""Image missing"
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Doherty-Simor, Margaret M. "Minimally Invasive Image-Guided Procedures." In Advanced Practice and Leadership in Radiology Nursing, 173–82. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32679-1_15.

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Nwawka, Ogonna Kenechi, Shefali Kothary, and Theodore T. Miller. "Image-Guided Procedures of the Shoulder." In The Shoulder, 67–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06240-8_4.

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Hourani, Roula. "Fluoroscopy-Guided Lumbar Puncture." In Procedural Dictations in Image-Guided Intervention, 313–14. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40845-3_71.

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Conference papers on the topic "Image guided procedure"

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Paris, Richard A., Paul Sullivan, Jamison Heard, Diedre Scully, Candace McNaughton, Jesse M. Ehrenfeld, Julie A. Adams, Joseph Coco, Daniel Fabbri, and Robert Bodenheimer. "Heatmap generation for emergency medical procedure identification." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2513122.

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Kuhlengel, Trevor K., and William E. Higgins. "Bronchoscopic procedure planning for systematic lymph node analysis." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2505788.

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Li, Ming, Sheng Xu, Dumitru Mazilu, Baris Turkbey, and Bradford J. Wood. "Smartglasses/smartphone needle guidance AR system for transperineal prostate procedure." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2512250.

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Kuhlengel, Trevor K., and William E. Higgins. "Multi-destination procedure planning for comprehensive lymph node staging bronchoscopy." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2020. http://dx.doi.org/10.1117/12.2542851.

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Carnahan, Patrick, John T. Moore, Daniel Bainbridge, Elvis C. S. Chen, and Terry M. Peters. "Multi-view 3D echocardiography volume compounding for mitral valve procedure planning." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2020. http://dx.doi.org/10.1117/12.2549598.

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Huang, Lawrence, Scott A. Collins, Leo Kobayashi, Derek Merck, and Thomas Sgouros. "Shared visualizations and guided procedure simulation in augmented reality with Microsoft HoloLens." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2511321.

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Michael, Justin A., Jessica R. Rodgers, Daniel Morton, Deidre L. Batchelar, Michelle Hilts, and Aaron Fenster. "3D ultrasound guidance system for permanent breast seed implantation: integrated system performance and phantom procedure." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Robert J. Webster and Baowei Fei. SPIE, 2018. http://dx.doi.org/10.1117/12.2293126.

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Gao, Gang, Segolene Tarte, Andy King, Yingliang Ma, Phani Chinchapatnam, Tobias Schaeffter, Reza Razavi, Dave Hawkes, Derek Hill, and Kawal Rhode. "Validation of the use of photogrammetry to register pre-procedure MR images to intra-procedure patient position for image-guided cardiac catheterization procedures." In Medical Imaging, edited by Michael I. Miga and Kevin R. Cleary. SPIE, 2008. http://dx.doi.org/10.1117/12.770113.

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Duong, Luc, Rui Liao, Hari Sundar, Benoit Tailhades, Andreas Meyer, and Chenyang Xu. "Curve-based 2D-3D registration of coronary vessels for image guided procedure." In SPIE Medical Imaging, edited by Michael I. Miga and Kenneth H. Wong. SPIE, 2009. http://dx.doi.org/10.1117/12.811874.

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Li, Senhu, and David Sarment. "A fully automatic image-to-world registration method for image-guided procedure with intraoperative imaging updates." In SPIE Medical Imaging, edited by Robert J. Webster and Ziv R. Yaniv. SPIE, 2016. http://dx.doi.org/10.1117/12.2216758.

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