A5002094151- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- CAR-T cell therapy research
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Bone and Joint Diseases
- Lymphoma Diagnosis and Treatment
- AI in cancer detection
- Sarcoma Diagnosis and Treatment
- Advanced Radiotherapy Techniques
- Radiation Detection and Scintillator Technologies
- Lung Cancer Diagnosis and Treatment
- Viral Infectious Diseases and Gene Expression in Insects
- Medical Imaging and Pathology Studies
- Cardiac Imaging and Diagnostics
- Medical Image Segmentation Techniques
Uppsala University
2016-2024
A*STAR-NUS Clinical Imaging Research Centre
2015-2017
Early cancer detection, guided by whole-body imaging, is important for the overall survival and well-being of patients. While various computer-assisted systems have been developed to expedite enhance diagnostics longitudinal monitoring, detection segmentation tumors, especially from scans, remain challenging. To address this, we propose a novel end-to-end automated framework that first generates tumor probability distribution map (TPDM), incorporating prior information about characteristics...
Lung cancer remains responsible for more deaths worldwide than any other cancer, but recently there has been a significant shift in the clinical paradigm regarding initial management of subjects at high risk this disease. Low-dose CT demonstrated improvements over planar x-ray screening patient prognoses and is now performed United States. Specificity modality, however, poor, additional information from PET potential to improve its accuracy. Routine requires consideration effective dose...
To find semi-quantitative and quantitative Positron Emission Tomography/Magnetic Resonance (PET/MR) imaging metrics of both tumor non-malignant lymphoid tissue (bone marrow spleen) for Progression Free Survival (PFS) Overall (OS) prediction in patients with relapsed/refractory (r/r) large B-cell lymphoma (LBCL) undergoing Chimeric Antigen Receptor (CAR) T-cell therapy.A single-center prospective study 16 r/r LBCL CD19-targeted CAR therapy. Whole body 18F-fluorodeoxyglucose (FDG) PET/MR...
Quantitative multiparametric imaging is a potential key application for Positron Emission Tomography/Magnetic Resonance (PET/MR) hybrid imaging. To enable objective and automatic voxel-based analysis in whole-body applications, the purpose of this study was to develop multimodality atlas functional 18F-fluorodeoxyglucose (FDG) PET anatomical fat-water MR data adults. Image registration used transform PET/MR images healthy control subjects into male female reference spaces, producing MR,...
Abstract Whole body diffusion-weighted imaging (WB-DWI) is increasingly used in oncological applications, but suffers from misalignments due to susceptibility-induced geometric distortion. As such, DWI and structural images acquired the same scan session are not geometrically aligned, leading difficulties e.g. lesion detection segmentation. In this work we assess performance of reverse polarity gradient (RPG) method for correction WB-DWI Multi-station magnetic resonance (MRI) data healthy...
In this work, we seek to examine the relationship between established method of spatial resolution measurement and image reconstruction options conditions encountered in a clinical setting. We alter methodology with which is measured, how these changes methods affect measured results. also present an alternative for potential advantages over existing standard.
Soderlund et recently published a sphere-phantom study with six PET tracers, concluding that image quality was good but tracer concentration measurements based on mean uptake (MEAN) were strongly affected by partial volume errors (PVE). In this work we ask if previously PVE correction method (CORR, described in 2002 Hickeson and colleagues) is more accurate. The CORR may be appropriate applications like lung-nodule PET/CT when isolated hot structures, perhaps lung nodules, sit region of...
Statistical atlases can provide population-based descriptions of healthy volunteers and/or patients and be used for region- voxel-based analysis. This work aims to develop whole-body diffusion scanned at 1.5T 3T. Further include evaluating the by establishing Apparent Diffusion Coefficient (ADC) values tissues including tissue deviations in an automated tumour segmentation task. Multi-station Weighted Imaging (DWI) water-fat Magnetic Resonance (MRI) (n = 45) were acquired 38) 3T 29), with...
Due to the massive amount of medical image data being made available, in research and clinical work, computer-aided tools are valuable have a great potential for sustainable work situation physicians generating disease understanding. High-end methods present era big artifical intelligence designed efficiently find patterns large scale data. The is today often too be parsed by human experts, computer-assisted perform at least as well experts on well-defined problems where it possible quantify...