This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete geometrical model of the torso of a scoliotic patient, this work presents a method for the registration of vertebral column data using 3D magnetic resonance images (MRI) acquired...

This paper presents an Internet-Based Medical Archive System, thus called IBMAS. IBMAS is a prototype system of a proposed paradigm of research aiming at building up a distributed archival system over the Internet to facilitate medical practitioners for maintaining, sharing, updating, searching, and processing medical information conveniently and consistently. IBMAS differs from the existing sy...

In this paper, we provide an overview of the first workshop on Medical Content–Based Retrieval for Clinical Decision Support (MCBR– CDS), which was held in conjunction with the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference in 2009 in London, UK. The goal of the workshop was to bring together researchers from diverse communities including medical image analyses, ...

This paper presents a web-based medical data archive system. This system is a prototype system of a proposed paradigm of research aiming at building up a distributed archival system over the Internet to facilitate medical practitioners for maintaining, sharing, updating, searching, and processing medical information conveniently and consistently. Our system differs from the existing systems in ...

A new algorithm for segmenting a multimodal grey-scale image is proposed. The image is described as a sample of a joint Gibbs random field of region labels and grey levels. To initialize the model, a mixed multimodal empirical grey-level distribution is approximated with linear combinations of Gaussians, one combination per region. Bayesian decisions involving expectation maximization and genet...

BACKGROUND Sensory distortions of body image commonly occur during migraine, seizures, nondominant cortical infarcts and hallucinogen abuse. METHODS We report the case of a 30-year-old woman with paranoid schizophrenia presenting with postpartum onset multimodal sensory distortions in the absence of any neurological disorders or substance use. RESULTS Her symptoms involved persistent facial...

BACKGROUND/PURPOSE Computational skin analysis is revolutionizing modern dermatology. Patterns extracted from image sequences enable algorithmic evaluation. Stacking multiple images to analyze pattern variation implicitly assumes that the images are aligned per-pixel. However, breathing and involuntary motion of the patient causes significant misalignment. Alignment algorithms designed for mult...

This article presents the participation of the Center of Informatics and Information Technology group CITI in medical ImageCLEF 2013. This is our first participation and we submitted runs on the modality classification task, the ad-hoc image retrieval task and case retrieval task. We are developing a system to integrate textual and visual retrieval into a framework for multimodal retrieval. Our...

Image registration has great significance in medicine, astrophotography and satellite imaging, so a lot of techniques have been developed within its perspective of one or the other discipline. This paper presents a method for medical image registration of multimodal brain images using Modified Adaptive Polar Transform (MAPT). This algorithm can be used to register images of the same or differen...

To analyze multimodal three-dimensional medical images, interpolation is required for resampling which—unavoidably—introduces an error. In this work we describe the method used imaging and neuroimaging characterize Gibbs effect occurring when using such methods. experimental section consider three segmented images resampled with different software tools comparing undersampling oversampling stra...