A5086114424- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Medical Imaging Techniques and Applications
- Medical Image Segmentation Techniques
- Advanced X-ray and CT Imaging
- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
- Acute Ischemic Stroke Management
- Boron Compounds in Chemistry
- Brain Tumor Detection and Classification
- Transcranial Magnetic Stimulation Studies
- Advanced Radiotherapy Techniques
- Advanced Neuroimaging Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Neurological and metabolic disorders
- Neural dynamics and brain function
- AI in cancer detection
- Medical Imaging and Analysis
- Aortic aneurysm repair treatments
- Neurological disorders and treatments
- Cardiovascular Health and Disease Prevention
- Neurobiology of Language and Bilingualism
- Radiation Dose and Imaging
- Fetal and Pediatric Neurological Disorders
University of Helsinki
2014-2025
Helsinki University Hospital
2016-2025
Jorvi Hospital
2024
RELX Group (United States)
2022
Academic Pediatric Association
2022
Imaging Center
2005-2020
Hospital District of Helsinki and Uusimaa
2008-2019
University of Glasgow
2018
Music is a highly complex and versatile stimulus for the brain that engages many temporal, frontal, parietal, cerebellar, subcortical areas involved in auditory, cognitive, emotional, motor processing. Regular musical activities have been shown to effectively enhance structure function of areas, making music potential tool also neurological rehabilitation. In our previous randomized controlled study, we found listening on daily basis can improve cognitive recovery mood after an acute middle...
The aim of this study was to investigate the feasibility ischemic stroke detection from computed tomography angiography source images (CTA-SI) using three-dimensional convolutional neural networks.CTA-SI 60 patients with a suspected acute middle cerebral artery were randomly selected for study; 30 used in network training, and subsequent testing performed remaining patients. training based on manually segmented lesions. Cerebral hemispheric comparison CTA non-contrast (NCCT) studied as...
We combined information from functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) to assess which cortical areas in temporal order show macroscopic activation after right median nerve stimulation. Five healthy subjects were studied with the two modalities, both revealed significant contra- ipsilateral primary somatosensory cortex (SI), opercular areas, walls of contralateral postcentral sulcus (PoCS), supplementary motor area (SMA). In fMRI, separate foci discerned,...
Purpose: To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Materials Methods: Fifteen patients (six men, nine women; age range, 25–58 years) a lesion near primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, meningioma) were examined after institutional review board approval written informed consent from each patient obtained. At MEG,...
Abstract Introduction Type 1 diabetes is suspected to hamper brain growth, implying that people with earlier onset would, on average, achieve lower maximal volume. We set out test this hypothesis. Methods Examining MRI scans of middle-aged type diabetes, we related age at intracranial volume in 180 participants, as well cerebral gray and white matter volumes a subset 113 (63%) using fractional polynomial regression models. Of the 118 (67%) had been diagnosed before 18 years age. Results our...
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic lesions, which are challenging to identify through manual image interpretation. The large variation radiologists' assessments, even at expert centers, further complicates diagnosis. Automatic analysis methods, including segmentation and registration, can expedite detecting tracking these changes. Purpose This study presents an automated pipeline for accurately changes the femurs,...
Purpose. This study introduces methods to conduct image-guided radiotherapy (IGRT) of the pelvis with either cone-beam computed tomography (CBCT) or planar localization images by relying solely on magnetic resonance imaging (MRI)-based reference images.Material and methods. Feasibility MRI-based for IGRT was evaluated against kV CBCT (50 scans, 5 prostate cancer patients) & MV (5 image pairs comparing achieved patient position corrections those obtained standard CT-based images....
Abstract Background Guidelines recommend that aortic dimension measurements in dissection should include the wall. This study aimed to evaluate two-dimensional (2D)- and three-dimensional (3D)-based deep learning approaches for extraction of outer surface computed tomography angiography (CTA) scans Stanford type B (TBAD) patients assess speed different whole aorta (WA) segmentation approaches. Methods A total 240 diagnosed with TBAD between January 2007 December 2019 were retrospectively...
Presents a contextual clustering procedure for statistical parametric maps (SPM) calculated from time varying three-dimensional images. The algorithm can be used the detection of neural activations functional magnetic resonance images (fMRI). An important characteristic SPM is that intensity distribution background (nonactive area) known whereas distributions activation areas are not. developed divides an into and so probability detecting false by chance controlled, i.e., hypothesis testing...
Nanofibrillated cellulose (NFC) hydrogel is a versatile biomaterial suitable, for example, three-dimensional (3D) cell spheroid culturing, drug delivery, and wound treatment. By freeze-drying NFC hydrogel, highly porous structures can be manufactured. We freeze-dried subsequently reconstituted the samples into variety of concentrations fibers, which resulted in different stiffness material, i.e., mechanical cues. After successful reconstitution, we showed that used one-step 3D culturing...
To assess radiographic brain abnormalities and investigate volumetric differences in adults born preterm at very low birth weight (<1500 g), using siblings as controls.We recruited 79 adult same-sex sibling pairs with one the term. We acquired 3-T magnetic resonance imaging from 78 participants 72 siblings. A neuroradiologist, masked to participants' prematurity status, reviewed images for parenchymal structural abnormalities, FreeSurfer software 6.0 was used conduct analyses. Data were...
AIM To explore the possibility of a neural network-based method for quantifying calcifications abdominal aorta and its branches. MATERIALS AND METHODS In total, 58 computed tomography (CT) angiography volumes were selected from dataset 609 to represent different stages sclerosis. The ground truth segmentations aorta, coeliac trunk, superior mesenteric artery, renal arteries, common iliac their delineated manually. Two V-Net ensemble models trained, one segmenting arteries interest another...
Abstract In stroke imaging, CT angiography (CTA) is used for detecting arterial occlusions. These images could also provide information on the extent of ischemia. The study aim was to develop and evaluate a convolutional neural network (CNN)–based algorithm segmenting acute ischemic lesions from CTA patients with suspected middle cerebral artery stroke. results were compared volumes reported by widely perfusion–based RAPID software (IschemaView). A 42-layer-deep CNN trained 50 manually...