Blar i NTNU Open på forfatter "Elschot, Mattijs"
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18F-Fluciclovine PET/MRI for preoperative lymph node staging in high-risk prostate cancer patients
Selnæs, Kirsten Margrete; Krüger-Stokke, Brage; Elschot, Mattijs; Willoch, Frode; Størkersen, Øystein; Sandsmark, Elise; Moestue, Siver Andreas; Tessem, May-Britt; Halvorsen, Dag; Kjøbli, Eirik; Angelsen, Anders; Langørgen, Sverre; Bertilsson, Helena; Bathen, Tone Frost (Journal article; Peer reviewed, 2018)Objective To investigate the diagnostic potential of simultaneous 18F-fluciclovine PET/MRI for pelvic lymph node (LN) staging in patients with high-risk prostate cancer. Methods High-risk prostate cancer patients (n=28) ... -
A PET/MRI study towards finding the optimal [18F]Fluciclovine PET protocol for detection and characterisation of primary prostate cancer.
Elschot, Mattijs; Selnæs, Kirsten Margrete; Sandsmark, Elise; Krüger-Stokke, Brage; Størkersen, Øystein; Tessem, May-Britt; Moestue, Siver Andreas; Bertilsson, Helena; Bathen, Tone Frost (Journal article; Peer reviewed, 2016)Purpose: [18F]Fluciclovine PET imaging shows promise for the assessment of prostate cancer. The purpose of this PET/MRI study is to optimise the PET imaging protocol for detection and characterisation of primary prostate ... -
Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges
Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J (Peer reviewed; Journal article, 2022)Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing workflow reduction. A total of ... -
Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges
Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J (Peer reviewed; Journal article, 2022)Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing workflow reduction. A total of ... -
Artificial intelligence-assisted radiographer prostate segmentation: a viable alternative to manual segmentation by radiologists
Ji, Micki Panda Bjørn Pengcheng (Master thesis, 2024)Objectives: To investigate the efficiency and performance of artificial intelligence (AI)-assisted prostate segmentation by radiographers compared to manual segmentation by radiologists and standalone AI. Materials & ... -
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition
Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Selnæs, Kirsten Margrete; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2020)Objectives To develop and evaluate an automated method for prostate T2-weighted (T2W) image normalization using dual-reference (fat and muscle) tissue. Materials and methods Transverse T2W images from the publicly ... -
Cholesterol crystals and NLRP3 mediated inflammation in the uterine wall decidua in normal and preeclamptic pregnancies
Silva, Gabriela; Gierman, Lobke; Rakner, Johanne Johnsen; Stødle, Guro; Mundal, Siv Boon; Thaning, Astrid Josefin; Sporsheim, Bjørnar; Elschot, Mattijs; Collett, Karin; Bjørge, Line; Aune, Marie Hjelmseth; Thomsen, Liv Cecilie Vestrheim; Iversen, Ann-Charlotte (Peer reviewed; Journal article, 2020)Preeclampsia is a hypertensive and inflammatory pregnancy disorder associated with cholesterol accumulation and inflammation at the maternal-fetal interface. Preeclampsia can be complicated with fetal growth restriction ... -
Combined 18F-Fluciclovine PET/MRI shows potential for detection and characterization of high-risk prostate cancer
Elschot, Mattijs; Selnæs, Kirsten Margrete; Sandsmark, Elise; Krüger-Stokke, Brage; Størkersen, Øystein; Giskeødegård, Guro F.; Tessem, May-Britt; Moestue, Siver Andreas; Bertilsson, Helena; Bathen, Tone Frost (Journal article; Peer reviewed, 2017)The objective of this study is to investigate if quantitative imaging features derived from combined 18F-Fluciclovine Positron Emission Tomograpy (PET) / multiparametric Magnetic Resonance Imaging (MRI) show potential for ... -
A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI
Patsanis, Alexandros; Sunoqrot, Mohammed R. S.; Langørgen, Sverre; Wang, Hao; Selnæs, Kirsten Margrete; Bertilsson, Maria Helena; Bathen, Tone Frost; Elschot, Mattijs (Journal article; Peer reviewed, 2023)Generative Adversarial Networks (GANs) have shown potential in medical imaging. In this study, several previously developed GANs were investigated for prostate cancer (PCa) detection on T2-weighted (T2W) magnetic resonance ... -
Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Preprocessing, Segmentation and Quality Control
Sunoqrot, Mohammed Rasem Sadeq (Doctoral theses at NTNU;2021:264, Doctoral thesis, 2021)Sammendrag Dataassistert diagnostikk av prostatakreft ved bruk av Multiparametrisk MRI: Forbehandling, segmentering og kvalitetskontroll Prostatakreft er den vanligste kreftformen hos menn og den nest hyppigste årsaken ... -
CROPro: a tool for automated cropping of prostate magnetic resonance images
Patsanis, Alexandros; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2023)Purpose To bypass manual data preprocessing and optimize deep learning performance, we developed and evaluated CROPro, a tool to standardize automated cropping of prostate magnetic resonance (MR) images. Approach CROPro ... -
Decidual and placental NOD1 is associated with inflammation in normal and preeclamptic pregnancies
Rakner, Johanne Johnsen; Silva, Gabriela; Mundal, Siv Boon; Thaning, Astrid Josefin; Elschot, Mattijs; Ostrop, Jenny; Thomsen, Liv Cecilie Vestrheim; Bjørge, Line; Gierman, Lobke; Iversen, Ann-Charlotte (Peer reviewed; Journal article, 2021)Introduction: Inflammation is a normal physiological process that increases to harmful levels in preeclampsia. It affects the interaction between maternal immune cells and fetal trophoblasts at both sites of the maternal-fetal ... -
Detection of recurrent prostate cancer with 18F-Fluciclovine PET/MRI
Selnæs, Kirsten Margrete; Krüger-Stokke, Brage; Elschot, Mattijs; Johansen, Håkon; Steen, Per Arvid; Langørgen, Sverre; Aksnessæther, Bjørg Yksnøy; Indrebø, Gunnar; Sjøbakk, Torill Eidhammer; Tessem, May-Britt; Moestue, Siver Andreas; Knobel, Heidi; Tandstad, Torgrim; Bertilsson, Helena; Solberg, Arne; Bathen, Tone Frost (Peer reviewed; Journal article, 2020)Objective: Simultaneous PET/MRI combines soft-tissue contrast of MRI with high molecular sensitivity of PET in one session. The aim of this prospective study was to evaluate detection rates of recurrent prostate cancer by ... -
Divergent Regulation of Decidual Oxidative-Stress Response by NRF2 and KEAP1 in Preeclampsia with and without Fetal Growth Restriction
Mundal, Siv Boon; Rakner, Johanne Johnsen; Silva, Gabriela; Gierman, Lobke; Austdal, Marie; Basnet, Purusotam; Elschot, Mattijs; Bakke, Siril Skaret; Ostrop, Jenny; Thomsen, Liv Cecilie Vestrheim; Moses, Eric; Acharya, Ganesh; Bjørge, Line; Iversen, Ann-Charlotte (Peer reviewed; Journal article, 2022)Utero-placental development in pregnancy depends on direct maternal–fetal interaction in the uterine wall decidua. Abnormal uterine vascular remodeling preceding placental oxidative stress and placental dysfunction are ... -
Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate
Syversen, Ingrid Framås; Elschot, Mattijs; Sandsmark, Elise; Bertilsson, Helena; Bathen, Tone Frost; Goa, Pål Erik (Peer reviewed; Journal article, 2021)Background: Magnetic resonance imaging (MRI) is essential in the detection and staging of prostate cancer. However, improved tools to distinguish between low-risk and high-risk cancer are needed in order to select the ... -
Implementation of geometric distortion correction of EPI images in clinical workflow
Syversen, Ingrid Framås (Master thesis, 2018)Background: Geometric distortion in echo-planar (EPI) magnetic resonance (MR) images, caused by low bandwidth combined with variations in magnetic susceptibility, is a problem that can make it challenging to connect ... -
Label-set impact on deep learning-based prostate segmentation on MRI
Meglic, Jakob; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2023)Background Prostate segmentation is an essential step in computer-aided detection and diagnosis systems for prostate cancer. Deep learning (DL)-based methods provide good performance for prostate gland and zones ... -
Magnetic Resonance Imaging for Improved Prostate Cancer Diagnosis
Nketiah, Gabriel Addio (Doctoral theses at NTNU;2018:82, Doctoral thesis, 2018)Magnetic Resonance Imaging for Improved Prostate Cancer Diagnosis Prostate cancer is one of the major menaces to the health of men worldwide. With approximately one in every eight men affected during their lifetime, it ... -
Multi institutional quantitative phantom study of yttrium-90 PET in PET/MRI: the MR-QUEST study
Maughan, NM; Eldib, F; Faul, D; Conti, Maurizio; Elschot, Mattijs; Knesaurek, Karin; Leek, Francesca; Townsend, David; DiFilippo, Frank P; Jackson, Kimberly; Nekolla, Stephan G; Lukas, Mathias; Tapner, Michael; Parikh, Parag J; Laforest, Richard (Journal article; Peer reviewed, 2018)Background: Yttrium-90 (90Y) radioembolization involves the intra-arterial delivery of radioactive microspheres to treat hepatic malignancies. Though this therapy involves careful pre-treatment planning and imaging, little ... -
Pelvic PET/MR attenuation correction in the image space using deep learning
Abrahamsen, Bendik Skarre; Knudtsen, Ingerid Søberg Skjei; Eikenes, Live; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2023)