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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/29766373/prostate-segmentation-in-mri-using-a-convolutional-neural-network-architecture-and-training-strategy-based-on-statistical-shape-models
#1
Davood Karimi, Golnoosh Samei, Claudia Kesch, Guy Nir, Septimiu E Salcudean
PURPOSE: Most of the existing convolutional neural network (CNN)-based medical image segmentation methods are based on methods that have originally been developed for segmentation of natural images. Therefore, they largely ignore the differences between the two domains, such as the smaller degree of variability in the shape and appearance of the target volume and the smaller amounts of training data in medical applications. We propose a CNN-based method for prostate segmentation in MRI that employs statistical shape models to address these issues...
May 15, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29766372/cars-2018-computer-assisted-radiology-and-surgery-proceedings-of-the-32nd-international-congress-and-exhibition-berlin-germany-june-20-23-2018
#2
(no author information available yet)
No abstract text is available yet for this article.
May 15, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29754382/3d-2d-model-to-image-registration-by-imitation-learning-for-cardiac-procedures
#3
Daniel Toth, Shun Miao, Tanja Kurzendorfer, Christopher A Rinaldi, Rui Liao, Tommaso Mansi, Kawal Rhode, Peter Mountney
PURPOSE: In cardiac interventions, such as cardiac resynchronization therapy (CRT), image guidance can be enhanced by involving preoperative models. Multimodality 3D/2D registration for image guidance, however, remains a significant research challenge for fundamentally different image data, i.e., MR to X-ray. Registration methods must account for differences in intensity, contrast levels, resolution, dimensionality, field of view. Furthermore, same anatomical structures may not be visible in both modalities...
May 12, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29752637/robust-path-planning-for-flexible-needle-insertion-using-markov-decision-processes
#4
Xiaoyu Tan, Pengqian Yu, Kah-Bin Lim, Chee-Kong Chui
PURPOSE: Flexible needle has the potential to accurately navigate to a treatment region in the least invasive manner. We propose a new planning method using Markov decision processes (MDPs) for flexible needle navigation that can perform robust path planning and steering under the circumstance of complex tissue-needle interactions. METHODS: This method enhances the robustness of flexible needle steering from three different perspectives. First, the method considers the problem caused by soft tissue deformation...
May 11, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29752636/sequential-surgical-signatures-in-micro-suturing-task
#5
Arnaud Huaulmé, Kanako Harada, Germain Forestier, Mamoru Mitsuishi, Pierre Jannin
PURPOSE: Surgical processes are generally only studied by identifying differences in populations such as participants or level of expertise. But the similarity between this population is also important in understanding the process. We therefore proposed to study these two aspects. METHODS: In this article, we show how similarities in process workflow within a population can be identified as sequential surgical signatures. To this purpose, we have proposed a pattern mining approach to identify these signatures...
May 11, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29740752/tomosynthesis-implementation-with-adaptive-online-calibration-on-clinical-c-arm-systems
#6
Khanlian Chung, Lothar R Schad, Frank G Zöllner
PURPOSE: Cone beam computed tomography (CBCT) systems offer physicians crucial 3D and 2D imaging capabilities during interventions. However, certain medical applications only require very specific information from the CBCTs (e.g., determination of the position of high-contrast objects). In diagnostics, tomosynthesis techniques can be used in these cases to minimize dose exposure. Therefore, integrating such techniques on CBCT systems could also be beneficial for interventions. In this paper, we investigate the performance of our implementation of circular tomosynthesis on a CBCT device...
May 8, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29736801/global-rigid-registration-of-ct-to-video-in-laparoscopic-liver-surgery
#7
Maria R Robu, João Ramalhinho, Stephen Thompson, Kurinchi Gurusamy, Brian Davidson, David Hawkes, Danail Stoyanov, Matthew J Clarkson
PURPOSE: Image-guidance systems have the potential to aid in laparoscopic interventions by providing sub-surface structure information and tumour localisation. The registration of a preoperative 3D image with the intraoperative laparoscopic video feed is an important component of image guidance, which should be fast, robust and cause minimal disruption to the surgical procedure. Most methods for rigid and non-rigid registration require a good initial alignment. However, in most research systems for abdominal surgery, the user has to manually rotate and translate the models, which is usually difficult to perform quickly and intuitively...
May 7, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29736800/automatic-segmentation-of-stereoelectroencephalography-seeg-electrodes-post-implantation-considering-bending
#8
Alejandro Granados, Vejay Vakharia, Roman Rodionov, Martin Schweiger, Sjoerd B Vos, Aidan G O'Keeffe, Kuo Li, Chengyuan Wu, Anna Miserocchi, Andrew W McEvoy, Matthew J Clarkson, John S Duncan, Rachel Sparks, Sébastien Ourselin
PURPOSE: The accurate and automatic localisation of SEEG electrodes is crucial for determining the location of epileptic seizure onset. We propose an algorithm for the automatic segmentation of electrode bolts and contacts that accounts for electrode bending in relation to regional brain anatomy. METHODS: Co-registered post-implantation CT, pre-implantation MRI, and brain parcellation images are used to create regions of interest to automatically segment bolts and contacts...
May 7, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29736799/ipcai-2018-special-issue-information-processing-for-computer-assisted-interventions-9th-international-conference-2018-part-1
#9
EDITORIAL
Pascal Fallavollita, Etsuko Kobayashi, Stefanie Speidel
No abstract text is available yet for this article.
May 7, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29728901/multi-ray-medical-ultrasound-simulation-without-explicit-speckle-modelling
#10
Mert Tuzer, Abdulkadir Yazıcı, Rüştü Türkay, Michael Boyman, Burak Acar
PURPOSE: To develop a medical ultrasound (US) simulation method using T1-weighted magnetic resonance images (MRI) as the input that offers a compromise between low-cost ray-based and high-cost realistic wave-based simulations. METHODS: The proposed method uses a novel multi-ray image formation approach with a virtual phased array transducer probe. A domain model is built from input MR images. Multiple virtual acoustic rays are emerged from each element of the linear transducer array...
May 4, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29728900/force-estimation-from-oct-volumes-using-3d-cnns
#11
Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer
PURPOSE: Estimating the interaction forces of instruments and tissue is of interest, particularly to provide haptic feedback during robot-assisted minimally invasive interventions. Different approaches based on external and integrated force sensors have been proposed. These are hampered by friction, sensor size, and sterilizability. We investigate a novel approach to estimate the force vector directly from optical coherence tomography image volumes. METHODS: We introduce a novel Siamese 3D CNN architecture...
May 4, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29728899/stereotactically-navigated-percutaneous-microwave-ablation-mwa-compared-to-conventional-mwa-a-matched-pair-analysis
#12
L P Beyer, L Lürken, N Verloh, M Haimerl, K Michalik, J Schaible, C Stroszczynski, P Wiggermann
PURPOSE: To compare CT-navigated stereotactic microwave ablation (SMWA) to non-navigated conventional MWA (CMWA) for percutaneous ablation of liver malignancies. METHODS: A matched pair analysis of 36 patients who underwent MWA of primary or secondary liver malignancies (10 hepatocellular carcinoma and 8 metastases) was conducted. A total of 18 patients undergoing SMWA were included in this prospective study. Patients were matched in terms of tumor size, liver segment and entity to retrospective CMWA procedures...
May 4, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29705826/laparoscopic-training-using-a-quantitative-assessment-and-instructional-system
#13
T Yamaguchi, R Nakamura
PURPOSE: Laparoscopic surgery requires complex surgical skills; hence, surgeons require regular training to improve their surgical techniques. The quantitative assessment of a surgeon's skills and the provision of feedback are important processes for conducting effective training. The aim of this study was to develop an inexpensive training system that provides automatic technique evaluation and feedback. METHODS: We detected the instrument using image processing of commercial web camera images and calculated the motion analysis parameters (MAPs) of the instrument to quantify performance features...
April 28, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29704196/exploiting-the-potential-of-unlabeled-endoscopic-video-data-with-self-supervised-learning
#14
Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus Maier-Hein, Lena Maier-Hein
PURPOSE: Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of deep learning-based solutions for automatic image annotation, the availability of reference annotations for algorithm training is becoming a major bottleneck in the field. The purpose of this paper was to investigate the concept of self-supervised learning to address this issue...
April 27, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29687177/knowledge-transfer-for-surgical-activity-prediction
#15
Olga Dergachyova, Xavier Morandi, Pierre Jannin
PURPOSE: Lack of annotated training data hinders automatic recognition and prediction of surgical activities necessary for situation-aware operating rooms. We propose using knowledge transfer to compensate for data deficit and improve prediction. METHODS: We used two approaches to extract and transfer surgical process knowledge. First, we encoded semantic information about surgical terms using word embedding. Secondly, we passed knowledge between different clinical datasets of neurosurgical procedures using transfer learning...
April 23, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29687176/effective-deep-learning-training-for-single-image-super-resolution-in-endomicroscopy-exploiting-video-registration-based-reconstruction
#16
Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P Pereira, Tom Vercauteren
PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality that allows performing in vivo optical biopsies. The design of pCLE hardware, and its reliance on an optical fibre bundle, fundamentally limits the image quality with a few tens of thousands fibres, each acting as the equivalent of a single-pixel detector, assembled into a single fibre bundle. Video registration techniques can be used to estimate high-resolution (HR) images by exploiting the temporal information contained in a sequence of low-resolution (LR) images...
April 23, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29679219/rf-ablation-pattern-shaping-employing-switching-channels-of-dual-bipolar-needle-electrodes-ex-vivo-results
#17
Jens Ziegle, Chloé Audigier, Johannes Krug, Ghazanfar Ali, Younsu Kim, Emad M Boctor, Michael Friebe
PURPOSE: Radiofrequency (RF) ablation with mono- or bipolar electrodes is a common procedure for hepatocellular carcinoma (HCC) with a low rate of recurrence for small size tumors. For larger lesions and/or non-round/ellipsoid shapes RF ablation has some limitations and generally does not achieve comparable success rates to microwave ablation or high-intensity focused ultrasound therapies. MATERIALS AND METHODS: To shape RF ablations for matching a tumor size and geometry, we have developed an electronic channel switch box for two bipolar needles that generates multiple selectable ablation patterns...
April 20, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29671200/robotic-ultrasound-guided-facet-joint-insertion
#18
Javier Esteban, Walter Simson, Sebastian Requena Witzig, Anna Rienmüller, Salvatore Virga, Benjamin Frisch, Oliver Zettinig, Drazen Sakara, Yu-Mi Ryang, Nassir Navab, Christoph Hennersperger
PURPOSE: Facet joint insertion is a common treatment of chronic pain in the back and spine. This procedure is often performed under fluoroscopic guidance, where the staff's repetitive radiation exposure remains an unsolved problem. Robotic ultrasound (rUS) has the potential to reduce or even eliminate the use of radiation by using ultrasound with a robotic-guided needle insertion. This work presents first clinical data of rUS-based needle insertions extending previous work of our group...
April 18, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29671199/automatic-planning-of-needle-placement-for-robot-assisted-percutaneous-procedures
#19
Esia Belbachir, Ehsan Golkar, Bernard Bayle, Caroline Essert
PURPOSE: Percutaneous procedures allow interventional radiologists to perform diagnoses or treatments guided by an imaging device, typically a computed tomography (CT) scanner with a high spatial resolution. To reduce exposure to radiations and improve accuracy, robotic assistance to needle insertion is considered in the case of X-ray guided procedures. We introduce a planning algorithm that computes a needle placement compatible with both the patient's anatomy and the accessibility of the robot within the scanner gantry...
April 18, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29666974/fem-based-elasticity-reconstruction-using-ultrasound-for-imaging-tissue-ablation
#20
Corin F Otesteanu, Valery Vishnevsky, Orcun Goksel
PURPOSE: Success of ablation treatment depends on the accurate placement of the target ablation focus and the complete destruction of the pathological tissue. Thus, monitoring the formation, location, and size of the ablated lesion is essential. As ablated tissue gets stiffer, an option for ablation monitoring is ultrasound elastography, for imaging the tissue mechanical properties. Reconstruction of elasticity distribution can be achieved by solving an inverse problem from observed displacements, based on a deformable tissue model, commonly discretized by the finite element method (FEM)...
April 17, 2018: International Journal of Computer Assisted Radiology and Surgery
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