e-poltergeist

E-poltergeist takes over the user’s internet browser, automatically initiating Web searches without their permission. Web-based artwork which explores issues of user control when confronted with complex technological systems, questioning the limits of digital interactive arts as consensual reciprocal systems. e-poltergeist was a major web commission that marked an early stage of research in a larger enquiry by Craighead and Thomson into the relationship between live virtual data, global communications networks and instruction-based art, exploring how such systems can be re-contextualised within gallery environments. e-poltergeist presented the 'viewer' with a singular narrative by using live internet search-engine data that aimed to create a perpetual and virtually unstoppable cycle of search engine results, banner ads and moving windows as an interruption into the normal use of an internet browser. The work also addressed the ‘de-personalisation’ of internet use by sending a series of messages from the live search engine data that seemed to address the user directly: 'Is anyone there?'; 'Can anyone hear me?', 'Please help me!'; 'Nobody cares!' e-poltergeist makes a significant contribution to the taxonomy of new media art by dealing with the way that new media art can re-address notions of existing traditions in art such as appropriation and manipulation, instruction-based art and conceptual art. e-poltergeist was commissioned ($12,000) for 010101: Art in Technological Times, a landmark international exhibition presented by the San Francisco Museum of Modern Art, which bought together leading international practitioners working with emergent technologies, including Tatsuo Miyajima, Janet Cardiff, Brian Eno. Peer recognition of the project in the form of reviews include: Curating New Media. Gateshead: Baltic Centre for Contemporary Art. Cook, Sarah, Beryl Graham and Sarah Martin ISBN: 1093655064; The Wire; http://www.wired.com/culture/lifestyle/news/2000/12/40464 (review by Reena Jana); Leonardo (review Barbara Lee Williams and Sonya Rapoport) http://www.leonardo.info/reviews/feb2001/ex_010101_willrapop.html All the work is developed jointly and equally between Craighead and her collaborator, Jon Thomson, Slade School of Fine Art.

3D Reconstruction of Medical Images from Slices Automatically Landmarked with Growing Neural Models

In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. We present a brain ventricles fast reconstruction method. The method is based on the processing of brain sections and establishing a fixed number of landmarks onto those sections to reconstruct the ventricles 3D surface. Automated landmark extraction is accomplished through the use of the self-organising network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates the classical surface reconstruction and filtering processes. The proposed method offers higher accuracy compared to methods with similar efficiency as Voxel Grid.