scholarly journals The Medical Exploration Toolkit: An Efficient Support for Visual Computing in Surgical Planning and Training

2010 ◽  
Vol 16 (1) ◽  
pp. 133-146 ◽  
Author(s):  
K. Muhler ◽  
C. Tietjen ◽  
F. Ritter ◽  
B. Preim
Author(s):  
Cristina Suárez-Mejías ◽  
Gorka Gómez-Ciriza ◽  
Purificación Gacto-Sánchez ◽  
Tomás Gómez-Cía ◽  
Carlos Parra-Calderón

2021 ◽  
Author(s):  
Georgios P. Skandalakis ◽  
Marios Salmas ◽  
George Noussios ◽  
Georgios Paraskevas ◽  
Nikolaos Lazaridis ◽  
...  

2017 ◽  
Vol 24 (5) ◽  
pp. 440-445 ◽  
Author(s):  
Yi Zhang ◽  
Cheng-fan Yu ◽  
Jun-hui Zhang ◽  
Lu-dong Qiao ◽  
Wei Yan ◽  
...  

Objectives. To establish virtual ureteroscopy (VU) through computed tomography urography (CTU) data from patients with upper urinary tract (UUT) stones indicated for flexible ureteroscopy (fURS) and to validate its effectiveness. Methods. Patient-specific VU generation was accomplished through incorporating CTU data into specialized software (Crusher) developed on the open access Visualization Tools Kit (VTK). These were then presented to fURS experts and novice urologists for evaluation and comparison using modified Likert-type questionnaire of 10-point rating scales (1 = not at all useful/not at all realistic/poor, 10 = very useful/very realistic/ excellent). Results. Face and content validation of VU from 5 fURS experts in 3 different centers: overall usefulness 7.4 ± 0.5, graphics 7.4 ± 0.5, intrarenal anatomy 8.4 ± 0.5, stone details 7.8 ± 0.4, usefulness in surgical planning and training 7.6 ± 0.9. Significant increase of detection in the number of calyces and stones was found from using CTU only to CTU-VU combined in the novice group ( P = .000). Before VU observation, novices found much fewer calyces and stones than experts ( P = .004 and .000, respectively). However, this gap disappeared after VU observation ( P = .327 and .292, respectively). VU feedback from the novices was superb. Conclusions. Establishing patient-specific VU through CTU data from renal stone patients is feasible. The present VU can significantly improve novice urologists’ comprehension of intrarenal anatomy and stone information before fURS procedures. Face and content validity is also proved. This novel modality may serve as an important tool for fURS surgical planning, navigation, and training.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Danfeng Xie ◽  
Lei Zhang ◽  
Li Bai

Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. In this study, we not only review typical deep learning algorithms in computer vision and signal processing but also provide detailed information on how to apply deep learning to specific areas such as road crack detection, fault diagnosis, and human activity detection. Besides, this study also discusses the challenges of designing and training deep neural networks.


2021 ◽  
Vol 10 (4) ◽  
pp. 220
Author(s):  
Binita Chaudhary ◽  
Utpal Anand ◽  
Veena Kumari ◽  
Prabhat Agrawal ◽  
Prem Kumar ◽  
...  

Author(s):  
Stefano Cosma ◽  
Domenico Ferraioli ◽  
Marco Mitidieri ◽  
Marcello Ceccaroni ◽  
Paolo Zola ◽  
...  

Abstract The classical surgical anatomy of the female pelvis is limited by its gynecological oncological focus on the parametrium and burdened by its modeling based on personal techniques of different surgeons. However, surgical treatment of pelvic diseases, spreading beyond the anatomical area of origin, requires extra-regional procedures and a thorough pelvic anatomical knowledge. This study evaluated the feasibility of a comprehensive and simplified model of pelvic retroperitoneal compartmentalization, based on anatomical rather than surgical anatomical structures. Such a model aims at providing an easier, holistic approach useful for clinical, surgical and educational purposes. Six fresh-frozen female pelves were macroscopically and systematically dissected. Three superficial structures, i.e., the obliterated umbilical artery, the ureter and the sacrouterine ligament, were identified as the landmarks of 3 deeper fascial-ligamentous structures, i.e., the umbilicovesical fascia, the urogenital-hypogastric fascia and the sacropubic ligament. The retroperitoneal areolar tissue was then gently teased away, exposing the compartments delimited by these deep fascial structures. Four compartments were identified as a result of the intrapelvic development of the umbilicovesical fascia along the obliterated umbilical artery, the urogenital-hypogastric fascia along the mesoureter and the sacropubic ligaments. The retroperitoneal compartments were named: parietal, laterally to the umbilicovesical fascia; vascular, between the two fasciae; neural, medially to the urogenital-hypogastric fascia and visceral between the sacropubic ligaments. The study provides the scientific rational for a model of pelvic retroperitoneal anatomy based on identifiable anatomical structures and suitable for surgical planning and training.


2016 ◽  
Vol 24 (1) ◽  
pp. 82-88 ◽  
Author(s):  
Chi Li ◽  
Tsz Fung Cheung ◽  
Vei Chen Fan ◽  
Kin Man Sin ◽  
Chrisity Wai Yan Wong ◽  
...  

Three-dimensional (3D) printing is a rapidly advancing technology in the field of surgery. This article reviews its contemporary applications in 3 aspects of surgery, namely, surgical planning, implants and prostheses, and education and training. Three-dimensional printing technology can contribute to surgical planning by depicting precise personalized anatomy and thus a potential improvement in surgical outcome. For implants and prosthesis, the technology might overcome the limitations of conventional methods such as visual discrepancy from the recipient’s body and unmatching anatomy. In addition, 3D printing technology could be integrated into medical school curriculum, supplementing the conventional cadaver-based education and training in anatomy and surgery. Future potential applications of 3D printing in surgery, mainly in the areas of skin, nerve, and vascular graft preparation as well as ear reconstruction, are also discussed. Numerous trials and studies are still ongoing. However, scientists and clinicians are still encountering some limitations of the technology including high cost, long processing time, unsatisfactory mechanical properties, and suboptimal accuracy. These limitations might potentially hamper the applications of this technology in daily clinical practice.


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