Search Submissions πŸ”Ž

Results for "fat quantification": 11 found

A Radiomic Quantification Framework for Hyperparameter Optimization in Texture Characterization

Authors: Yuli Lu, Chendong Ni, Cheng Qian, Kun Qian, Weiwei Sang, Chunhao Wang, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Rihui Zhang, Haiming Zhu

Affiliation: Jiahui International Hospital, Radiation Oncology, Duke University, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: To develop a radiomic quantification framework to evaluate the effects of radiomic image preprocessing hyperparameters (i.e., image resampling and discretization) on texture characterization ...

Artificial Intelligence (AI)-Driven Automatic Contour Quality Assurance (QA) with Uncertainty Quantification

Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying Zhang, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas

Abstract Preview: Purpose: Accurate delineation of treatment targets and organs-at-risk is crucial for radiotherapy. Despite significant progress in artificial intelligence (AI)-based automatic segmentation tools, effi...

Comparison of Cine Cardiac Magnetic Resonance (CMR) Imaging Performance: 0.6 T Versus 1.5 T, Is 0.6 T Fit for Purpose?

Authors: Jacinta E. Browne, Tzu Cheng Chao, Ajit Deveraj, Ece Ercan, Tim Leiner, Alessio Perazzolo, Michal Povazan, Jouke Smink, Camilla Vita, Spencer Waddle, Dinghui Wang

Affiliation: UniversitaΜ€ Cattolica del Sacro Cuore, Philips Healthcare, Mayo Clinic

Abstract Preview: Purpose:
In recent years, mid-field MRI has shown promise to meet the technical demands of cardiac imaging1. Mid-field strengths offer advantages to CMR due to shorter T1-relaxation times, lower sp...

Development and Evaluation of Fat Fraction Reference Materials for Magnetic Resonance Imaging

Authors: Hyo-Min Cho, Cheolpyo Hong, Changwoo Lee, Sunyoung Lee

Affiliation: Daegu Catholic University, Korea Research Institute of Standards and Science (KRISS), Korea Research Institute of Standards and Science

Abstract Preview: Purpose: With the increasing prevalence of metabolic syndrome, the importance of diagnosing obesity and fatty liver diseases has grown significantly. As a result, there is a rising demand for non-inva...

Evaluation of MR Proton Density Fat Fraction (PDFF) for Bone Marrow Protection in RT

Authors: Li Tong, Chuyan Wang, Zhengkui Wang, Yingli Yang, Jie Zhang

Affiliation: Shanghai United imaging Healthcare Advanced Technology Research Institute, Shanghai United Imaging Healthcare Co., LTD, Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital

Abstract Preview: Purpose:
Pelvic radiotherapy (RT)-induced bone marrow (BM) damage affects patient prognosis by causing hematologic toxicity. However, consensus on BM-sparing (BMS) RT is still lacking, owing to the...

From Noisy Signals to Accurate Maps: Transforming Look-Locker MRI with an Intelligent T₁ Estimation

Authors: Prabhu C. Acharya, Hassan Bagher-Ebadian, Stephen L. Brown, James R. Ewing, Mohammad M. Ghassemi, Benjamin Movsas, Farzan Siddiqui, Kundan S Thind

Affiliation: Michigan State University, Oakland University, Henry Ford Health

Abstract Preview: Purpose: Accurate T1 quantification using T One by Multiple Read Out Pulse (TOMROP) sequences is essential for physiological assessments in dynamic-contrast-enhanced (DCE) MRI and T1 mapping studies. ...

Impact of Patient Size on the Choices of Dual and Single Energy CT for Accurate Liver Fat Volume Fraction Quantification

Authors: Xinhua Li, Jie Zhang, Yifang (Jimmy) Zhou

Affiliation: University of Kentucky, Cedars-Sinai Medical Center

Abstract Preview: Purpose: Fat volume fraction (FVF) is an important biomarker for non-alcoholic fatty liver disease. CT can be a good modality for FVF assessment if the accuracy is adequate. We aimed to study the impa...

Investigation of Low Iodine Concentration Detectability of Dual-Energy CT Imaging Using a Customized 3D Printed Phantom

Authors: Michalis Aristophanous, Laura I. Cervino, Maria F. Chan, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Y Lee, Xiang Li, Seng Boh Gary Lim, Usman Mahmood, Jean M. Moran, Jason Ocana

Affiliation: Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: To determine the limits of iodine concentration detection (LOD) and quantification (LOQ) in dual-energy computed tomography using a 3D printed phantom while considering different background, ...

Iodine Quantification on a Prototype Deep Silicon Photon-Counting Versus Dual-Energy Energy-Integrating Detector CT

Authors: Meghan Lubner, Aria M. Salyapongse, Teva Shapiro, Scott D. Slavic, Timothy P. Szczykutowicz, Giuseppe Toia, Zhye Yin

Affiliation: GE HealthCare, Departments of Radiology and Medical Physics, University Wisconsin-Madison, GE Healthcare, University of Wisconsin-Madison, University of Wisconsin - Madison, UW-Madison, University of Wisconsin Madison, Department of Radiology

Abstract Preview: Purpose:
To compare iodine quantification on a prototype deep silicon photon-counting detector (PCD) CT and conventional clinical energy-integrating (EID) dual-energy (DE) CT.
Methods:
A phan...

Quantitative 3D Surface Mapping of Cherenkov Images for Real-Time Beam Deviation Detection in Radiotherapy

Authors: Petr Bruza, Alexander Geiersbach, David J. Gladstone

Affiliation: Thayer School of Engineering, Dartmouth College

Abstract Preview: Purpose: Cherenkov images are two-dimensional projections of the surface light emissions, and lack spatial information about the radiotherapy beam delivery. We implement the first fusion of Cherenkov ...

Using Multi-Peak Reconstructions for Dosimetry of Fast and Quantitative Lutetium-177 SPECT/CT

Authors: Julia Brosch-Lenz, Munir Ghesani, Francesc Massanes, Michael Morris, Babak Saboury, Eliot Siegel, Alexander Hans Vija

Affiliation: Institute of Nuclear Medicine, Siemens Medical Solutions USA Inc., Molecular Imaging

Abstract Preview: Purpose: Quantitative imaging of the radiopharmaceutical distribution is crucial for treatment evaluation and dosimetry. However, as patient numbers for Lutetium-177-(177Lu)-labelled therapies continu...