- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Photoacoustic and Ultrasonic Imaging
- Advanced MRI Techniques and Applications
- Nanoplatforms for cancer theranostics
- Advanced Radiotherapy Techniques
- Radiopharmaceutical Chemistry and Applications
- Radiation Detection and Scintillator Technologies
- Advanced X-ray and CT Imaging
- Optical Imaging and Spectroscopy Techniques
- Extracellular vesicles in disease
- Cell Image Analysis Techniques
- Advanced Neuroimaging Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Cancer Genomics and Diagnostics
- Gene expression and cancer classification
- Monoclonal and Polyclonal Antibodies Research
- Multiple Sclerosis Research Studies
- Cancer, Hypoxia, and Metabolism
- Ultrasound Imaging and Elastography
- Photodynamic Therapy Research Studies
- AI in cancer detection
- Brain Tumor Detection and Classification
- Functional Brain Connectivity Studies
- Intracerebral and Subarachnoid Hemorrhage Research
University of Lausanne
2023-2024
University of Tübingen
2014-2023
Siemens (Germany)
2014-2022
Siemens (Switzerland)
2021
Imaging Center
2020
Radboud University Nijmegen
2009-2012
Radboud University Medical Center
2009-2012
University of Twente
2010-2011
Optimal Solutions (United States)
2011
University of Amsterdam
2010
The Inveon small-animal PET scanner is characterized by a large, 127-mm axial length and 161-mm crystal ring diameter. associated high sensitivity obtained using all lines of response (LORs) up to the maximum difference (MRD) 79, for which most oblique LORs form acceptance angles 38.3 degrees with transaxial planes. result 2 phenomena that are normally not encountered in scanners: parallax or depth-of-interaction effect direction breakdown Fourier rebinning (FORE). Both effects cause...
The positron emitters <sup>18</sup>F, <sup>68</sup>Ga, <sup>124</sup>I, and <sup>89</sup>Zr are all relevant in small-animal PET. Each of these radionuclides has different energies ranges a fraction single photons emitted. Average larger than the intrinsic spatial resolution scanner (for <sup>124</sup>I <sup>68</sup>Ga) will deteriorate effective activity recovery coefficient (RC) for small lesions or phantom structures. presence <sup>89</sup>Zr) could increase image noise spillover ratios...
The aim of this study was to evaluate the effect a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans.We selected 100 consecutive cases from publicly available data set (PROSTATEx Challenge) with without histopathologically confirmed cancer. Seven board-certified radiologists were tasked read each case twice 2 blocks (with assistance DL-CAD), separation between...
(18)F-Fluorodeoxyglucose ((18)F-FDG) is the most common molecular imaging agent in oncology, with a high sensitivity and specificity for detecting several cancers. Antibodies could enhance specificity; therefore, procedures were developed radiolabeling small ( approximately 1451 Da) hapten peptide (68)Ga or (18)F to compare their (18)F-FDG tumors using pretargeting procedure. Mice implanted carcinoembryonic antigen (CEA; CEACAM5)-expressing LS174T human colonic CEA-negative tumor, an...
Hybrid PET/MR systems have rapidly progressed from the prototype stage to that are increasingly being used in clinics. This review provides an overview of developments hybrid and summarizes current state art instrumentation, correction techniques, data analysis. The strong magnetic field requires considerable changes manner by which PET images acquired has led, among others, development new detectors, such as silicon photomultipliers. During more than a decade active development, several...
Measuring the functional status of tumor vasculature, including blood flow fluctuations and changes in oxygenation, is important cancer staging therapy monitoring. Current clinically approved imaging modalities suffer long procedure times limited spatiotemporal resolution. Optoacoustic tomography (OT) an emerging clinical modality that may overcome these challenges. By acquiring data at multiple wavelengths, OT can interrogate hemoglobin concentration oxygenation directly resolve...
<sup>18</sup>F-FDG PET is well established in the field of oncology for diagnosis and staging purposes increasingly being used to assess therapeutic response prognosis. Many quantitative indices can be characterize tumors on images, such as SUV<sub>max</sub>, metabolically active tumor volume (MATV), total lesion glycolysis, and, more recently, proposed intratumor uptake heterogeneity features. Although most data considered within this context concern analysis activity distribution using...
The standardization of preclinical imaging is a key factor to ensure the reliability, reproducibility, validity, and translatability data. Preclinical has been slowly progressing in recent years mainly performed within single institution, whereas little done regards multicenter between facilities. This study aimed investigate comparability among facilities terms PET data acquisition analysis. In first step, basic scans were obtained 4 different compare their standard protocol for...
As optoacoustic tomography (OT) emerges as a mainstream pre-clinical imaging modality, understanding the relationship between and other biomarkers in context of underlying tissue biology becomes vitally important. Complementary insight into tumour vasculature hypoxia can be gained using OT alongside magnetic resonance (MRI)-based techniques. To evaluate these metrics relative performance two modalities assessment physiology, co-registration their output data is required. Unfortunately, this...
Several commercial small-animal SPECT scanners using multipinhole collimation are presently available. However, generally accepted standards to characterize the performance of these do not exist. Whereas for PET, National Electrical Manufacturers Association (NEMA) NU 4 have been defined in 2008, such still lacking SPECT. In this study, image quality parameters associated with NEMA phantom were determined a scanner. <b>Methods:</b> Multiple whole-body scans 1-h duration performed U-SPECT-II...
The aim of our study was to create a novel Gaussian mixture modeling (GMM) pipeline model the complementary information derived from<sup>18</sup>F-FDG PET and diffusion-weighted MRI (DW-MRI) separate tumor microenvironment into relevant tissue compartments follow development these longitudinally. <b>Methods:</b> Serial <sup>18</sup>F-FDG apparent diffusion coefficient (ADC) maps from DW-MR images NCI-H460 xenograft tumors were coregistered, population-based GMM implemented on imaging data....
Low endothelial shear stress (ESS) elicits dysfunction. However, the relationship between ESS and arterial remodeling stiffness is unknown in humans. We developed a 3.0-T MRI protocol to evaluate contribution of stiffness.Fifteen young (aged 26 ± 3 years) 15 older 57 healthy volunteers as well patients with cardiovascular disease 63 10 were enrolled. Phase-contrast common carotid arteries was used derive data from spatial velocity gradients close wall. measurements performed on occasions...
An avalanche photodiode (APD)-based small animal positron emission tomography (PET)-insert was fully evaluated for its PET performance, as well potential influences on magnetic resonance imaging (MRI) performance. This PET-insert has an extended axial field of view (FOV) compared with the previous design to increase system sensitivity, updated cooling and temperature regulation enable stable reproducible acquisitions. The performance according National Electrical Manufacturers Association...
Phenotypic heterogeneity is commonly observed in diseased tissue, specifically tumors. Multimodal imaging technologies can reveal tissue noninvasively vivo, enabling imaging-based profiling of receptors, metabolism, morphology, or function on a macroscopic scale. In contrast, vitro multiomics, immunohistochemistry, histology techniques accurately characterize these heterogeneities the cellular and subcellular scales more comprehensive but ex vivo manner. The complementary information would...
Identification and localization of ischemic stroke (IS) lesions is routinely performed to confirm diagnosis, assess severity, predict disability plan rehabilitation strategies using magnetic resonance imaging (MRI). In basic research, lesion segmentation necessary study complex peri-infarction tissue changes. Moreover, final volume a critical outcome evaluated in clinical preclinical experiments determine therapy or intervention success. Manual segmentations are but they require specialized...
We aimed to precisely estimate intra-tumoral heterogeneity using spatially regularized spectral clustering (SRSC) on multiparametric MRI data and compare the efficacy of SRSC with previously reported segmentation techniques in studies. Six NMRI nu/nu mice bearing subcutaneous human glioblastoma U87 MG tumors were scanned a dedicated small animal 7T magnetic resonance imaging (MRI) scanner. The consisted T2 weighted images, apparent diffusion coefficient maps, pre- post-contrast T2* maps....
Preclinical imaging benefits from simultaneous acquisition of high-resolution anatomical and molecular data. Additionally, PET/MRI systems can provide functional PET MRI To optimize sensitivity, we propose a system design that fully integrates the coil into system. This allows positioning scintillators near object but requires an optimized detector. It further new approach in realizing radiofrequency (RF) shielding. Thus, use optically transparent RF shielding material between scintillator...
In this study, we described and validated an unsupervised segmentation algorithm for the assessment of tumor heterogeneity using dynamic <sup>18</sup>F-FDG PET. The aim our study was to objectively evaluate proposed method make comparisons with compartmental modeling parametric maps SUV segmentations simulations clinically relevant tissue types. <b>Methods:</b> An irreversible 2-tissue-compartmental model implemented simulate clinical preclinical PET time–activity curves population-based...