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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/28534312/evaluation-of-a-novel-multi-articulated-endoscope-proof-of-concept-through-a-virtual-simulation
#1
Tuukka Karvonen, Yusuke Muranishi, Goshiro Yamamoto, Tomohiro Kuroda, Toshihiko Sato
PURPOSE: In endoscopic surgery such as video-assisted thoracoscopic surgery and laparoscopic surgery, providing the surgeon a good view of the target is important. Rigid endoscope has for years been the go-to tool for this purpose, but it has certain limitations like the inability to work around obstacles. To improve on current tools, a novel multi-articulated endoscope (MAE) is currently under development. To investigate its feasibility and possible value, we performed a user test using virtual prototype of the MAE with the intent to show that it outperforms the conventional endoscope while bringing minimal additional burden to the operator...
May 22, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28534311/scale-space-for-empty-catheter-segmentation-in-pci-fluoroscopic-images
#2
Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman
PURPOSE: In this article, we present a method for empty guiding catheter segmentation in fluoroscopic X-ray images. The guiding catheter, being a commonly visible landmark, its segmentation is an important and a difficult brick for Percutaneous Coronary Intervention (PCI) procedure modeling. METHODS: In number of clinical situations, the catheter is empty and appears as a low contrasted structure with two parallel and partially disconnected edges. To segment it, we work on the level-set scale-space of image, the min tree, to extract curve blobs...
May 22, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28527025/pose-aware-c-arm-for-automatic-re-initialization-of-interventional-2d-3d-image-registration
#3
Javad Fotouhi, Bernhard Fuerst, Alex Johnson, Sing Chun Lee, Russell Taylor, Greg Osgood, Nassir Navab, Mehran Armand
PURPOSE: In minimally invasive interventions assisted by C-arm imaging, there is a demand to fuse the intra-interventional 2D C-arm image with pre-interventional 3D patient data to enable surgical guidance. The commonly used intensity-based 2D/3D registration has a limited capture range and is sensitive to initialization. We propose to utilize an opto/X-ray C-arm system which allows to maintain the registration during intervention by automating the re-initialization for the 2D/3D image registration...
May 19, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28527024/cars-2017-computer-assisted-radiology-and-surgery-proceedings-of-the-31st-international-congress-and-exhibition-barcelona-spain-june-20-24-2017
#4
(no author information available yet)
No abstract text is available yet for this article.
May 19, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28516302/the-minimally-acceptable-classification-criterion-for-surgical-skill-intent-vectors-and-separability-of-raw-motion-data
#5
Rodney L Dockter, Thomas S Lendvay, Robert M Sweet, Timothy M Kowalewski
PURPOSE: Minimally invasive surgery requires objective methods for skill evaluation and training. This work presents the minimally acceptable classification (MAC) criterion for computational surgery: Given an obvious novice and an obvious expert, a surgical skill evaluation classifier must yield 100% accuracy. We propose that a rigorous motion analysis algorithm must meet this minimal benchmark in order to justify its cost and use. METHODS: We use this benchmark to investigate two concepts: First, how separable is raw, multidimensional dry laboratory laparoscopic motion data between obvious novices and obvious experts? We utilized information theoretic techniques to analytically address this...
May 18, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28516301/application-fields-for-the-new-object-management-group-omg-standards-case-management-model-and-notation-cmmn-and-decision-management-notation-dmn-in-the-perioperative-field
#6
M Wiemuth, D Junger, M A Leitritz, J Neumann, T Neumuth, O Burgert
PURPOSE: Medical processes can be modeled using different methods and notations. Currently used modeling systems like Business Process Model and Notation (BPMN) are not capable of describing the highly flexible and variable medical processes in sufficient detail. METHODS: We combined two modeling systems, Business Process Management (BPM) and Adaptive Case Management (ACM), to be able to model non-deterministic medical processes. We used the new Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN)...
May 18, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28516300/predicting-surgical-skill-from-the-first-n-seconds-of-a-task-value-over-task-time-using-the-isogony-principle
#7
Anna French, Thomas S Lendvay, Robert M Sweet, Timothy M Kowalewski
PURPOSE: Most evaluations of surgical workflow or surgeon skill use simple, descriptive statistics (e.g., time) across whole procedures, thereby deemphasizing critical steps and potentially obscuring critical inefficiencies or skill deficiencies. In this work, we examine off-line, temporal clustering methods that chunk training procedures into clinically relevant surgical tasks or steps during robot-assisted surgery. METHODS: Features calculated from the isogony principle are used to train four common machine learning algorithms from dry-lab laparoscopic data gathered from three common training exercises...
May 17, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28516299/ipcai-2017-special-issue-information-processing-for-computer-assisted-interventions-8th-international-conference-2017-part-1
#8
(no author information available yet)
No abstract text is available yet for this article.
May 17, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28508345/deep-monocular-3d-reconstruction-for-assisted-navigation-in-bronchoscopy
#9
Marco Visentini-Scarzanella, Takamasa Sugiura, Toshimitsu Kaneko, Shinichiro Koto
PURPOSE: In bronchoschopy, computer vision systems for navigation assistance are an attractive low-cost solution to guide the endoscopist to target peripheral lesions for biopsy and histological analysis. We propose a decoupled deep learning architecture that projects input frames onto the domain of CT renderings, thus allowing offline training from patient-specific CT data. METHODS: A fully convolutional network architecture is implemented on GPU and tested on a phantom dataset involving 32 video sequences and [Formula: see text]60k frames with aligned ground truth and renderings, which is made available as the first public dataset for bronchoscopy navigation...
May 15, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28501942/pulmonary-nodule-classification-with-deep-residual-networks
#10
Aiden Nibali, Zhen He, Dennis Wollersheim
PURPOSE  : Lung cancer has the highest death rate among all cancers in the USA. In this work we focus on improving the ability of computer-aided diagnosis (CAD) systems to predict the malignancy of nodules from cropped CT images of lung nodules. METHODS: We evaluate the effectiveness of very deep convolutional neural networks at the task of expert-level lung nodule malignancy classification. Using the state-of-the-art ResNet architecture as our basis, we explore the effect of curriculum learning, transfer learning, and varying network depth on the accuracy of malignancy classification...
May 13, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28493110/bem-based-simulation-of-lung-respiratory-deformation-for-ct-guided-biopsy
#11
Dong Chen, Weisheng Chen, Lipeng Huang, Xuegang Feng, Terry Peters, Lixu Gu
PURPOSE: Accurate and real-time prediction of the lung and lung tumor deformation during respiration are important considerations when performing a peripheral biopsy procedure. However, most existing work focused on offline whole lung simulation using 4D image data, which is not applicable in real-time image-guided biopsy with limited image resources. In this paper, we propose a patient-specific biomechanical model based on the boundary element method (BEM) computed from CT images to estimate the respiration motion of local target lesion region, vessel tree and lung surface for the real-time biopsy guidance...
May 10, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28488239/automatic-classification-of-lung-nodules-on-mdct-images-with-the-temporal-subtraction-technique
#12
Yuriko Yoshino, Takahiro Miyajima, Huimin Lu, Jookooi Tan, Hyoungseop Kim, Seiichi Murakami, Takatoshi Aoki, Rie Tachibana, Yasushi Hirano, Shoji Kido
PURPOSE: A temporal subtraction (TS) image is obtained by subtracting a previous image, which is warped to match the structures of the previous image and the related current image. The TS technique removes normal structures and enhances interval changes such as new lesions and substitutes in existing abnormalities from a medical image. However, many artifacts remaining on the TS image can be detected as false positives. METHOD: This paper presents a novel automatic segmentation of lung nodules using the Watershed method, multiscale gradient vector flow snakes and a detection method using the extracted features and classifiers for small lung nodules (20 mm or less)...
May 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28488238/trans-oral-miniature-x-ray-radiation-delivery-system-with-endoscopic-optical-feedback
#13
Axel Boese, Fredrick Johnson, Till Ebert, Ali Mahmoud-Pashazadeh, Christoph Arens, Michael Friebe
PURPOSE: Surgery, chemo- and/or external radiation therapy are the standard therapy options for the treatment of laryngeal cancer. Trans-oral access for the surgery reduces traumata and hospitalization time. A new trend in treatment is organ-preserving surgery. To avoid regrowth of cancer, this type of surgery can be combined with radiation therapy. Since external radiation includes healthy tissue surrounding the cancerous zone, a local and direct intraoral radiation delivery would be beneficial...
May 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28484922/or-net-multi-perspective-qualitative-evaluation-of-an-integrated-operating-room-based-on-ieee-11073-sdc
#14
M Rockstroh, S Franke, M Hofer, A Will, M Kasparick, B Andersen, T Neumuth
PURPOSE: Clinical working environments have become very complex imposing many different tasks in diagnosis, medical treatment, and care procedures. During the German flagship project OR.NET, more than 50 partners developed technologies for an open integration of medical devices and IT systems in the operating room. The aim of the present work was to evaluate a large set of the proposed concepts from the perspectives of various stakeholders. METHOD: The demonstration OR is focused on interventions from the head and neck surgery and was developed in close cooperation with surgeons and numerous colleagues of the project partners...
May 8, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28478519/first-step-to-facilitate-long-term-and-multi-centre-studies-of-shear-wave-elastography-in-solid-breast-lesions-using-a-computer-assisted-algorithm
#15
Katrin Skerl, Sandy Cochran, Andrew Evans
PURPOSE: Shear wave elastography (SWE) visualises the elasticity of tissue. As malignant tissue is generally stiffer than benign tissue, SWE is helpful to diagnose solid breast lesions. Until now, quantitative measurements of elasticity parameters have been possible only, while the images were still saved on the ultrasound imaging device. This work aims to overcome this issue and introduces an algorithm allowing fast offline evaluation of SWE images. METHODS: The algorithm was applied to a commercial phantom comprising three lesions of various elasticities and 207 in vivo solid breast lesions...
May 6, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28478518/workflow-and-simulation-of-image-to-physical-registration-of-holes-inside-spongy-bone
#16
REVIEW
Jan Bergmeier, J Michael Fitzpatrick, Dorothea Daentzer, Omid Majdani, Tobias Ortmaier, Lüder A Kahrs
PURPOSE: Mastoid cells as well as trabecula provide unique bone structures, which can serve as natural landmarks for registration. Preoperative imaging enables sufficient acquisition of these structures, but registration requires an intraoperative counterpart. Since versatile surgical interventions involve drilling into mastoid cells and trabecula, we propose a registration method based on endoscopy inside of these drill holes. METHODS: Recording of the surface of the inner drill hole yields bone-air patterns that provide intraoperative registration features...
May 6, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28477279/temporal-clustering-of-surgical-activities-in-robot-assisted-surgery
#17
Aneeq Zia, Chi Zhang, Xiaobin Xiong, Anthony M Jarc
PURPOSE: Most evaluations of surgical workflow or surgeon skill use simple, descriptive statistics (e.g., time) across whole procedures, thereby deemphasizing critical steps and potentially obscuring critical inefficiencies or skill deficiencies. In this work, we examine off-line, temporal clustering methods that chunk training procedures into clinically relevant surgical tasks or steps during robot-assisted surgery. METHODS: We collected system kinematics and events data from nine surgeons performing five different surgical tasks on a porcine model using the da Vinci Si surgical system...
May 5, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28477278/an-automatic-segmentation-method-of-a-parameter-adaptive-pcnn-for-medical-images
#18
Jing Lian, Bin Shi, Mingcong Li, Ziwei Nan, Yide Ma
PURPOSE: Since pre-processing and initial segmentation steps in medical images directly affect the final segmentation results of the regions of interesting, an automatic segmentation method of a parameter-adaptive pulse-coupled neural network is proposed to integrate the above-mentioned two segmentation steps into one. This method has a low computational complexity for different kinds of medical images and has a high segmentation precision. METHODS: The method comprises four steps...
May 5, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28477277/an-efficient-cardiac-mapping-strategy-for-radiofrequency-catheter-ablation-with-active-learning
#19
Yingjing Feng, Ziyan Guo, Ziyang Dong, Xiao-Yun Zhou, Ka-Wai Kwok, Sabine Ernst, Su-Lin Lee
OBJECTIVE: A major challenge in radiofrequency catheter ablation procedures is the voltage and activation mapping of the endocardium, given a limited mapping time. By learning from expert interventional electrophysiologists (operators), while also making use of an active-learning framework, guidance on performing cardiac voltage mapping can be provided to novice operators or even directly to catheter robots. METHODS: A learning from demonstration (LfD) framework, based upon previous cardiac mapping procedures performed by an expert operator, in conjunction with Gaussian process (GP) model-based active learning, was developed to efficiently perform voltage mapping over right ventricles (RV)...
May 5, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28477276/compact-forceps-manipulator-with-a-spherical-coordinate-linear-and-circular-telescopic-rail-mechanism-for-endoscopic-surgery
#20
Toshikazu Kawai, Hiroyuki Hayashi, Yuji Nishizawa, Atsushi Nishikawa, Ryoichi Nakamura, Hiroshi Kawahira, Masaaki Ito, Tatsuo Nakamura
PURPOSE: By integrating locally operated small surgical robots in a sterilized area, a surgeon can perform safe and accurate robotically assisted laparoscopic surgery. At present, there is no locally operated compact forceps robot that can operate within a small space while providing a wide working area on the abdominal wall. In the present study, a new spherical-coordinate manipulator with a linear telescopic rail and two circular telescopic rails that can act as a third arm for the surgeon has been developed...
May 5, 2017: International Journal of Computer Assisted Radiology and Surgery
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