HepaPlan: a CAD software for planning hepatic surgeries

López-Mir, F.; Naranjo Ornedo, V.; Verdú-Monedero, R.; Morales, S.; Brugger, S.; Pareja, E. (2015). HepaPlan: a CAD software for planning hepatic surgeries. International Journal of Computer Assisted Radiology and Surgery. 10(Suppl 1):S238-S239. http://hdl.handle.net/10251/65381SS238S23910Suppl

A Software For Surgical And Radiotherapy Planning Through Multimodal Brain Image Registration And Fusion

Naranjo Ornedo, V.; Morales, S.; Legaz-Aparicio, A.; Larrey-Ruiz, J.; Bernabeu, A.; Fuentes-Hurtado, F. (2015). A Software For Surgical And Radiotherapy Planning Through Multimodal Brain Image Registration And Fusion. International Journal of Computer Assisted Radiology and Surgery. 10(Suppl 1):S15-S17. http://hdl.handle.net/10251/65379SS15S1710Suppl

Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images

This work was supported by the program Industria del Coneixement of the Catalan Government.Noorda, RA.; Naranjo Ornedo, V.; Pons, V. (2017). Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images. International Journal of Computer Assisted Radiology and Surgery. 12(1):S22-S23. https://doi.org/10.1007/s11548-017-1588-3SS22S2312

Enhancing virtual bronchoscopy with intra-operative data using a multi-objective GAN

Aquest document està publicat al suplement de la revista "International Journal of Computer Assisted Radiology and Surgery" que recull totes les ponències del congrés CARS 2019-Computer Assisted Radiology and Surgery Proceedings of the 33rd International Congress and Exhibition Rennes, France, June 18 - 21, 2019. Totes les ponències d'aquest congrés publicades al Suplement es poden consultar a: https://doi.org/10.1007/s11548-019-01969-

Interactive evaluation of surgery skills in surgery simulators: A new method based on string matching algorithms

The final publication is available at Springer via http://dx.doi.org/10.1007/s11548-013-0881-zMonserrat Aranda, C.; Lucas, A.; Hernández-Orallo, J.; Rupérez Moreno, MJ.; Alcañiz Raya, ML. (2013). Interactive evaluation of surgery skills in surgery simulators: A new method based on string matching algorithms. International Journal of Computer Assisted Radiology and Surgery. 8(1 Supplement):373-374. doi:10.1007/s11548-013-0881-zS37337481 Supplemen

ジュツゼン ジュツゴ MRI ノ ガゾウ レジストレーション ト ディスタンスマップ ヲ モチイタ アブレーションマージン ノ 3 ジゲンテキ テイリョウ ヒョウカ

学位授与機関：　滋賀医科大学　博士（医学）甲第781号　平成29年3月10日International Journal of Computer Assisted Radiology and Surgery. 2016, 11(6), p.1133–1142

Atlas-Based Prostate Segmentation Using an Hybrid Registration

Purpose: This paper presents the preliminary results of a semi-automatic method for prostate segmentation of Magnetic Resonance Images (MRI) which aims to be incorporated in a navigation system for prostate brachytherapy. Methods: The method is based on the registration of an anatomical atlas computed from a population of 18 MRI exams onto a patient image. An hybrid registration framework which couples an intensity-based registration with a robust point-matching algorithm is used for both atlas building and atlas registration. Results: The method has been validated on the same dataset that the one used to construct the atlas using the "leave-one-out method". Results gives a mean error of 3.39 mm and a standard deviation of 1.95 mm with respect to expert segmentations. Conclusions: We think that this segmentation tool may be a very valuable help to the clinician for routine quantitative image exploitation.Comment: International Journal of Computer Assisted Radiology and Surgery (2008) 000-99

NOViSE: a virtual natural orifice transluminal endoscopic surgery simulator

Purpose: Natural Orifice Transluminal Endoscopic Surgery (NOTES) is a novel technique in minimally invasive surgery whereby a flexible endoscope is inserted via a natural orifice to gain access to the abdominal cavity, leaving no external scars. This innovative use of flexible endoscopy creates many new challenges and is associated with a steep learning curve for clinicians. Methods: We developed NOViSE - the first force-feedback enabled virtual reality simulator for NOTES training supporting a flexible endoscope. The haptic device is custom built and the behaviour of the virtual flexible endoscope is based on an established theoretical framework – the Cosserat Theory of Elastic Rods. Results: We present the application of NOViSE to the simulation of a hybrid trans-gastric cholecystectomy procedure. Preliminary results of face, content and construct validation have previously shown that NOViSE delivers the required level of realism for training of endoscopic manipulation skills specific to NOTES Conclusions: VR simulation of NOTES procedures can contribute to surgical training and improve the educational experience without putting patients at risk, raising ethical issues or requiring expensive animal or cadaver facilities. In the context of an experimental technique, NOViSE could potentially facilitate NOTES development and contribute to its wider use by keeping practitioners up to date with this novel surgical technique. NOViSE is a first prototype and the initial results indicate that it provides promising foundations for further development

Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions

Purpose: Technical advancements have been part of modern medical solutions as they promote better surgical alternatives that serve to the benefit of patients. Particularly with cardiovascular surgeries, robotic surgical systems enable surgeons to perform delicate procedures on a beating heart, avoiding the complications of cardiac arrest. This advantage comes with the price of having to deal with a dynamic target which presents technical challenges for the surgical system. In this work, we propose a solution for cardiac motion estimation. Methods: Our estimation approach uses a variational framework that guarantees preservation of the complex anatomy of the heart. An advantage of our approach is that it takes into account different disturbances, such as specular reflections and occlusion events. This is achieved by performing a preprocessing step that eliminates the specular highlights and a predicting step, based on a conditional restricted Boltzmann machine, that recovers missing information caused by partial occlusions. Results: We carried out exhaustive experimentations on two datasets, one from a phantom and the other from an in vivo procedure. The results show that our visual approach reaches an average minima in the order of magnitude of 10-7 while preserving the heart’s anatomical structure and providing stable values for the Jacobian determinant ranging from 0.917 to 1.015. We also show that our specular elimination approach reaches an accuracy of 99% compared to a ground truth. In terms of prediction, our approach compared favorably against two well-known predictors, NARX and EKF, giving the lowest average RMSE of 0.071. Conclusion: Our approach avoids the risks of using mechanical stabilizers and can also be effective for acquiring the motion of organs other than the heart, such as the lung or other deformable objects.Peer ReviewedPostprint (published version