A5059011560- Data Visualization and Analytics
- Computer Graphics and Visualization Techniques
- Anatomy and Medical Technology
- 3D Shape Modeling and Analysis
- Endometrial and Cervical Cancer Treatments
- Video Analysis and Summarization
- Surgical Simulation and Training
- Cell Image Analysis Techniques
- AI in cancer detection
- Colorectal Cancer Surgical Treatments
- Medical Image Segmentation Techniques
- Radiomics and Machine Learning in Medical Imaging
- Biomedical Text Mining and Ontologies
- Pelvic and Acetabular Injuries
- MRI in cancer diagnosis
- Media Influence and Health
- Augmented Reality Applications
- Anorectal Disease Treatments and Outcomes
- Multimedia Communication and Technology
- Ovarian cancer diagnosis and treatment
- Medical Imaging Techniques and Applications
- Dental Research and COVID-19
- Cardiac, Anesthesia and Surgical Outcomes
- Brain Tumor Detection and Classification
- Cerebrovascular and Carotid Artery Diseases
Haukeland University Hospital
2019-2025
University of Bergen
2016-2025
Delft University of Technology
2010-2019
<h3>Objective</h3> In ovarian cancer, detection of sentinel nodes is an upcoming procedure. Perioperative determination the patient’s node(s) might prevent a radical lymphadenectomy and associated morbidity. It essential to understand lymphatic drainage pathways ovaries, which are surprisingly up till now poorly investigated, predict anatomical regions where can be found. We aimed describe human ovaries including their compartmental fascia borders. <h3>Methods</h3> A series 3 female fetuses...
Abstract Multi‐modal data of the complex human anatomy contain a wealth information. To visualize and explore such data, techniques for emphasizing important structures controlling visibility are essential. Such fused overview visualizations guide physicians to suspicious regions be analysed in detail, e.g. with slice‐based viewing. We give an state art multi‐modal medical visualization techniques. consist multiple scans same subject using various acquisition methods, often combining...
The medical domain has been an inspiring application area in visualization research for many years already, but open challenges remain. driving forces of have strengthened by novel developments, example, deep learning, the advent affordable VR technology, and need to provide visualizations broader audiences. At IEEE VIS 2020, we hosted Application Spotlight session highlight recent topics. With this article, community with ten such challenges, primarily focused on related imaging data. We...
Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, relies on manual tumor segmentation which unfeasible clinic. We present a fully automatic method 3D of primary CC lesions using state-of-the-art deep learning (DL) techniques. In 131 patients, was manually segmented T2-weighted by two radiologists (R1, R2). Patients were separated into...
Anatomy learning has traditionally relied on drawings, plastic models, and cadaver dissections/prosections to help students understand the three-dimensional (3D) relationships within human body. However, landscape of anatomy education been transformed with introduction digital media. In this light, Open Explorer (OPANEX) was developed. It includes two user interfaces (UI): one for administrators. The administrator UI offers features such as uploading labelling 3D customizing settings....
Abstract Background Effective diagnostic tools for prompt identification of high-risk locally advanced cervical cancer (LACC) patients are needed to facilitate early, individualized treatment. The aim this work was assess temporal changes in tumor radiomics (delta radiomics) from T2-weighted imaging (T2WI) during concurrent chemoradiotherapy (CCRT) LACC patients, and their association with progression-free survival (PFS). Furthermore, develop, validate, compare delta- pretreatment radiomic...
Introduction: Abdominal aortic aneurysms (AAAs) and peripheral artery disease (PAD) are two vascular diseases with a significant risk of major adverse cardiovascular events mortality. A challenge in current management is the unpredictable progression individual patients. The VASCUL-AID-RETRO study aims to develop trustworthy multimodal predictive artificial intelligence (AI) models for multiple tasks including stratification patients AAA PAD. Methods: will collect data from 5000 6000 PAD...
Due to the intricate relationship between pelvic organs and vital structures, such as vessels nerves, anatomy is often considered be complex comprehend. In oncological surgery, a trade-off has made complete tumor resection preserving function by preventing damage nerves. Damage autonomic nerves causes undesirable post-operative side-effects fecal urinal incontinence, well sexual dysfunction in up 80 percent of cases. Since these are not visible pre-operative MRI scans or during avoiding...
Visual stories are an effective and powerful tool to convey specific information a diverse public. Scrollytelling is recent visual storytelling technique extensively used on the web, where content appears or changes as users scroll up down page. By employing familiar gesture of scrolling its primary interaction mechanism, it provides with sense control, exploration discoverability while still offering simple intuitive interface. In this article, we present novel approach for authoring,...
<h3>Objective</h3> Radical hysterectomy with pelvic lymphadenectomy (RHL) is the preferred treatment for early-stage cervical cancer. Although oncological outcome good regard to recurrence and survival rates, it well known that RHL might result in postoperative bladder impairments due autonomic nerve disruption. The network has been extensively studied, but anatomy of fibers branching off inferior hypogastric plexus innervate less known. Besides, pathogenesis dysfunction after multifactorial...
To evaluate the interobserver agreement for MRI-based 2018 International Federation of Gynecology and Obstetrics (FIGO) staging parameters in patients with cervical cancer assess prognostic value these MRI relation to other clinicopathological markers.This retrospective study included 416 women histologically confirmed who underwent pretreatment pelvic from May 2002 December 2017. Three radiologists independently recorded MRI-derived incorporated FIGO system. Kappa coefficients (κ) were...
Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC).To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific survival (DSS) CC.Retrospective.CC patients (n = 133) allocated into training(T) (nT 89)/validation(V) (nV 44) cohorts.T2-weighted imaging (T2WI) and diffusion-weighted (DWI) at 1.5T or 3.0T.Radiomic features from segmented tumors were extracted T2WI DWI (high b-value apparent diffusion coefficient...
In medical imaging, registration is used to combine images containing information from different modalities or track treatment effects over time in individual patients. Most software packages do not provide an easy-to-use interface that facilitates the use of registration. 2D visualization techniques are often for visualizing 3D datasets. RegistrationShop was developed improve and ease process volume using visualizations intuitive interactive tools. It supports several basic volumetric...
The Online Anatomical Human (OAH) is a web-based viewer for studying anatomy. It based on real human anatomy and incorporates medical image data in linked 2D 3D views that students can freely interact with. Our application the only to support imaging data. main goal of this anatomical online resource serve as an educational platform available anyone with access modern web browser. Users annotate regions, add comments, provide hyperlinks additional media. By making our work accessible...
High-fidelity anatomical models can be produced with three-dimensional (3D) scanning techniques and as such digitally preserved, archived, subsequently rendered through various media. Here, a novel methodology-digital body preservation-is presented for combining matching scan geometry radiographic imaging. The technique encompasses joining layers of 3D surface scans in an correct spatial relationship. To do so, computed tomography (CT) volume is used template to join merge different...
Intersphincteric resection (ISR) enables radical sphincter‐preserving surgery in a subset of low rectal tumors impinging on the anal sphincter complex (ASC). Excellent anatomical knowledge is essential for optimal ISR. This study describes role longitudinal muscle (LM) ASC and implications ISR other pathologies. Six human adult en bloc cadaveric specimens (three males, three females) were obtained from University Leeds GIFT Research Tissue Programme. Paraffin‐embedded mega blocks containing...
Magnetic resonance spectroscopy (MRS) is an advanced biochemical technique used to identify metabolic compounds in living tissue. While its sensitivity and specificity chemical imbalances render it a valuable tool clinical assessment, the results from this modality are abstract difficult interpret. With design study we characterized explored tasks requirements for evaluating these data perspective of MRS research specialist. Our resulting tool, SpectraMosaic, links with upstream...