2005
Brain tumor evaluation and segmentation by in vivo proton spectroscopy and relaxometry
Miguel Martín-Landrove, Finita Mayobre, Igor Bautista, Raúl Villalta
MAGMA (2005) 18: 316–331
A new methodology has been developed for the evaluation and segmentation of brain tumors using information obtained by different magnetic resonance techniques such as in vivo proton magnetic resonance spectroscopy (1HMRS) and relaxometry. In vivo 1HMRS may be used as a preoperative technique that allows noninvasive monitoring of metabolites to identify the different tissue types present in the lesion (active tumor, necrotic tissue, edema, and normal or non-affected tissue). Spatial resolution for treatment consideration may be improved by using 1HMRS combined or fused with images obtained by relaxometry which exhibit excellent spatial resolution. Some segmentation schemes are presented and discussed. The results show that segmentation performed in this way efficiently determines the spatial localization of the tumor both qualitatively and quantitatively. It provides appropriate information for therapy planning and application of therapies such as radiosurgery or radiotherapy and future control ofpatient evolution.
Brain tumor image segmentation using in vivo spectroscopy, relaxometry and diffusometry by magnetic resonance
M. Martín-Landrove, I. Bautista, R. Villalta
Proc. Intl. Soc. Mag. Reson. Med. 13 (2005)
Magnetic Resonance Spectroscopy (MRS) is a non-invasive tool that allows distinguishing brain malignant tumors from non-anaplastic tumors. Metabolic maps can be obtained by the Chemical Shift Imaging (CSI) technique but they lack the spatial resolution necessary for therapy considerations. Relaxation studies have been used long ago for the assessment of tumors, being the T2-map of a tissue often used as a basis for interpreting clinical images. Diffusion-weighted MRI has been used successfully in the central nervous system (CNS), specially in the diagnosis of acute stroke, but also in distinguishing different components of brain tumors. In the present work, it is proposed the use of MRS, Relaxometry and Diffusometry for the segmentation of brain tumors.and your own content. To customize me and change my font click on the Design tab in the property panel.
A new nonlinear DNA model
Miguel Martín-Landrove, Jorge A. González
CIENCIA 13(3), 324 - 330, 2005
The torsional dynamics of DNA can be described by nonlinear models, predicting soliton open states related to replication and transcription processes. In particular, the Yakushevich model yields soliton solutions with appropriate topological properties to describe those processes. In the present work, we developed a model that combines the dynamical aspects of both Yakushevich and Yomosa models, treating the stacking interaction between adjacent bases in a non linear way. By doing so, both transversal and longitudinal interactions are treated on the same foot. Stable soliton solutions, energies and its dynamics were obtained.
LAPAROS: Advanced computer assisted laparoscopic surgery training
Bricelis J. Urbina, Ernesto J. Coto, Omaira C. Rodríguez, Rodolfo E. Miquilarena, Miguel E. Cerrolaza
II INTERNATIONAL CONFERENCE ON COMPUTATIONAL BIOENGINEERING, H. Rodrigues et al. (Eds.)
Lisbon, Portugal, September 14-16, 2005
Laparoscopic surgery training deals with the improvement of a new surgical technique where the working space is magnified. As well, surgeon movements are amplified and therefore they must be accurate and smooth. Moreover, the surgeon has to deal with the fulcrum effect, and learn how to manipulate instruments in a 3D space based only in 2D images. Therefore, training in laparoscopic surgery requires the stimulation of the visuospatial and motor skills of the surgeon. It should stress the manipulation of laparoscopic surgery instruments and the interpretation of 2D images of human internal organs and tissues. In this paper we present LAPAROS, a new laparoscopic surgery training system that allows the user to learn navigation inside the human body and interactively manipulate laparoscopic surgery instruments. The system is based on virtual reality technology and 3D computer graphics. We have also incorporated our own state-of-the-art mechanical simulator. LAPAROS provides the user with several training exercises displaying different skill levels. The system provides an evaluation tool and also keeps track of all training sessions for every user, so they can have a feedback on their overall improvement at any moment.
MammoExplorer: An advanced CAD application for breast DCE-MRI
Ernesto Coto, Sören Grimm, Stefan Bruckner, Meister Eduard Gröller, Armin Kanitsar, Omaira Rodriguez
Proceedings of Vision, Modelling, and Visualization 2005, pages 91-98. November 2005
Currently X-ray mammography is the most widely used method for early detection of breast cancer. However, the use of Dynamic Contrast Enhanced MRI (DCE-MRI) has gained wider attention, since it considerably improves tumor detection and classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, a CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. Our application uses Brushing and Linking, Two-level Volume Rendering, Importance-driven Volume Rendering, and False ColorMaps. In addition, we present Enhancement Scatterplots, a novel graphical representation of DCE-MRI data, novel segmentation approaches, and a new way to explore time-varying CE-MRI data.
