Matilda Landgren

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OBJECTIVE To establish the potency of four dose levels of tibolone, a tissue selective estrogenic activity regulator (STEAR), to relieve climacteric symptoms in a subgroup of highly symptomatic women experiencing a minimum of seven hot flushes and sweats per day. METHODS In a group of 770 women receiving tibolone 0.625, 1.25, 2.5 or 5.0 mg or placebo for(More)
OBJECTIVE To assess the clinically optimal tibolone dose for the relief of climacteric complaints. DESIGN A randomised, double blind, placebo-controlled trial. SETTING Twenty-eight centres in Norway, The Netherlands, Sweden and Finland. POPULATION Seven hundred and seventy-five healthy postmenopausal women were randomised to tibolone in a daily dose(More)
This work presents a method for multi-organ segmentation in whole-body CT images based on a multi-atlas approach. A robust and efficient feature-based registration technique is developed which uses sparse organ specific features that are learnt based on their ability to register different organ types accurately. The best fitted feature points are used in(More)
Time-resolved medical data has important applications in a large variety of medical applications. In this paper we study automatic analysis of dynamical renal scintigraphies. The traditional analysis pipeline for dynamical renal scintigraphies is to use manual or semiautomatic methods for segmentation of pixels into physical compartments, extract their(More)
Ultrasound imaging of the heart is a non-invasive method widely used for different applications. One of them is to measure the blood volume in the left ventricle at different stages of the heart cycle. This demands a proper segmentation of the left ventricle and a (semi-) automated method would decrease intra-variability as well as workload. This paper(More)
Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from TcDMSA scintigraphy(More)
Despite of having no explicit shape model, multiatlas approaches to image segmentation have proved to be a topperformer for several diverse datasets and imaging modalities. In this paper, we show how one can directly incorporate shape regularization into the multi-atlas framework. Unlike traditional methods, our proposed approach does not rely on label(More)
Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTcDMSA scintigraphy(More)