Image Analysis

Christian Mata defends his PhD thesis “Web-based Application for Medical Imaging Management”

The rapid growth of digital technology in medical fields during the last few years has increased the need for applications able to manage patient medical records, imaging tests, and chart information. Technologies related with digital database architectures, storage and transmission protocols, management of large volumes of data, and security are being improved every day, allowing the possibility of reading, analyzing, and even diagnosing a case far from the medical center where the information was acquired. Furthermore, the inclusion of web-based applications applied to the medical imaging field has growing demand over the last few years in the medical community. The…

Collaboration between UdG and Surrey University

Oliver Diaz, postdoctoral researcher at ViCOROB, has been appointed as Visiting Academic Researcher in the Faculty of Engineering and Physical Science (University of Surrey, UK). For an initial period of 1 year, Dr Diaz will collaborate closely with the Surrey’s Biomedical Imaging group, lead by Dr Kevin Wells. This position will boost the collaboration between both parts and will allow further investigation of common research lines started in the past.   The Biomedical Imaging group is a multidisciplinary research group based at the Centre for Vision, Speech and Signal Processing (http://www.surrey.ac.uk/cvssp/). It focuses on medical imaging technologies (X-ray mammography, MRI,…

Automated Analysis of Magnetic Resonance Imaging of the Breast

Albert Gubern defends his PhD thesis “Automated Analysis of Magnetic Resonance Imaging of the Breast”

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) of the breast is employed for breast cancer screening in women with cumulative lifetime breast cancer risk of more than 20-25% (US and EU guideline). Other indications include, but are not limited to, preoperative staging, evaluation of women treated with neoadjuvant chemotherapy and problem solving in case of inconclusive findings from other modalities. Compared to mammography, which is the image modality commonly used in regular screening, breast DCE-MRI presents higher sensitivity, especially in women with dense breasts. However, the analysis of breast MRI requires interpretation of four-dimensional DCE data, as well as correlation to…

assure mama

ASSURE FP7 PROJECT 1st REVIEW

With less than a year left to conclude the ASSURE project, a party of 6 people from ViCOROB met with the rest of partners on the 12th and 13th of January at Copenhagen. Despite the cold and strong gusts of wind we all endured, the meeting was a success as shown by the positive feedback given by an European reviewer present. Also during the meeting, updated overviews of all 10 work-packages were presented. Furthermore, the event was used to run several discussion groups about screening with breast ultrasound and breast magnetic resonance, as well as to discuss on how to…

#MaratoTV3

La Fundació Marató de TV3 financia el projecte d’imatge mèdica BiomarkEM.cat

Estudis recents han demostrat que mesures obtingudes a través de les imatges de ressonància magnètica (RM) poden ser útils per a predir l’evolució clínica de l’esclerosi múltiple (EM), tant en termes d’història clínica com en termes de resposta als tractaments. Aquestes mesures inclouen la presència de noves lesions així com la pèrdua de volum cerebral en estudis longitudinals de RM. Tot i això, per tal de transferir aquests estudis d'investigació a la pràctica clínica diària es requereix de tecnologies i eines informàtiques no disponibles en l'actualitat, capaces de proporcionar mesures precises i robustes de l'atròfia i de l’evolució de les...

Onur Ganiler defends his PhD thesis: “Automated detection of new Multiple Sclerosis lesions in longitudinal brain magnetic resonance imaging”

  This thesis deals with the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance (MR) imaging. This disease is characterized by the presence of lesions in the brain, predominantly in the white matter (WM) tissue of the brain. The detection and quantification of new lesions are crucial to follow-up MS patients. Moreover, the manual detection of these new lesions is not only time-consuming, but is also prone to intra- and inter-observer variability. Therefore, the development of automated techniques for the detection MS lesions is a major challenge. After a thorough analysis of the state-of-the art in…

PhD Vicorob

MARC MASIAS defends his PhD thesis: “Automatic source detection in astronomical images”

This thesis is focused on the automatic detection of sources (objects) in astronomical images. These sources are something that suggests the presence of an astronomical object such as stars, galaxies, gas, dust or cosmic rays. The use of automatic algorithms to perform such a task becomes of great importance in the astronomical field because of the increasing amount of data and the inefficiency and inaccuracy of manual inspection.   In the first place, we exhaustively analyze the state of the art on this topic, presenting a new classification of techniques and pointing out their main strengths and weaknesses. A complementary…

image analysis

Konstantin Korotkov defends his PhD thesis “Automatic change detection in multiple pigmented skin lesions”

Malignant melanoma is the rarest and deadliest of skin cancers causing three times more deaths than all other skin-related malignancies combined. Fortunately, in its early stages, it is completely curable, making a total body skin examination (TBSE) a fundamental procedure for many patients. During TBSE, dermatologists look for pigmented skin lesions (PSLs) exhibiting typical melanoma signs as well as PSLs undergoing the rapid changes characteristic of cancer. Accompanied by clinical and dermoscopic baseline photography, a TBSE can be very tedious and time-consuming, especially for patients with numerous lesions. In addition, establishing correct body-to-image and image-to-image lesion correspondences can be extremely…