Radiology Commons^™

Image Quality Analysis Of Head Cts Obtained On A New Portable Scanner Compared To Stationary Ct, Mara M. Kunst, Juan E. Small, Sebastian E. Flacke, Joseph D. Burns, Maximilian Smith, Christoph D. Wald

The Lahey Journal

Background/Purpose: The use of mobile head CT scanning in the ICU setting has both clinical and economic advantages, particularly if able to provide image quality close or equal to fixed CT scanners.

The purpose of the study is to evaluate the image quality of a new portable CT scanner, compared to a fixed CT platform.

Materials/Methods: Inpatients (n=11), age> 60 requiring head CT evaluation were enrolled and consented to obtain an additional head CT on the portable CT, following their fixed exam.

Nine patients were able to complete the study; seven patients received duplicate exams with matched imaging technique, and …

The Advancement And Utility Of Multimodal Imaging In The Diagnosis Of Degenerative Disc Disease, Eric M. Teichner, Robert C. Subtirelu, Connor R. Crutchfield, Chitra Parikh, Arjun Ashok, Sahithi Talasila, Victoria Anderson, Milan Patel, Sricharvi Mannam, Andrew Lee, Thomas Werner, William Y. Raynor, Abass Alavi, Mona-Elisabeth Revheim

SKMC Student Presentations and Publications

Degenerative disc disease (DDD) is a common spinal condition characterized by the deterioration of intervertebral discs, leading to chronic back pain and reduced mobility. While magnetic resonance imaging (MRI) has long been the standard for late-stage DDD diagnosis, its limitations in early-stage detection prompt the exploration of advanced imaging methods. Positron emission tomography/computed tomography (PET/CT) using ¹⁸F- fluorodeoxyglucose (FDG) and ¹⁸F-sodium fluoride (NaF) has shown promise in identifying metabolic imbalances and age-related spinal degeneration, thereby complementing CT grading of the disease. The novel hybrid imaging modality PET/MRI provides new opportunities and are briefly discussed. The complex pathophysiology of …

Multi-Societal Expert Consensus Statement On The Safe Administration Of Ultrasound Contrast Agents, Jordan B. Strom, Andrew Appis, Richard G. Barr, Maria Cristina Chammas, Dirk-André Clevert, Kassa Darge, Linda Feinstein, Steven B. Feinstein, J. Brian Fowlkes, Beverly Gorman, Pintong Huang, Yuko Kono, Juan Lopez-Mattei, Andrej Lyshchik, Michael L. Main, Wilson Matthias, Christina Merrill, Sharon L. Mulvagh, Petros Nihoyannopoulos, Joan Olson, Fabio Piscaglia, Thomas Porter, Arnaldo Rabischoffsky, Roxy Senior, Jessica L Stout, Maria Stanczak, Stephanie R. Wilson

Department of Radiology Faculty Papers

Contrast enhanced ultrasound (CEUS) offers a safe, reliable imaging option to establish a clinical diagnosis across a variety of multidisciplinary settings. This Expert Consensus Statement serves to outline expert opinion on what constitutes appropriate supervision and the essential components of safe CEUS practice. The purpose of this document is to empower institutions to allow sonographers, along with other trained medical professionals, to administer UCAs at the point of care, consistent with the updated scope of practice documentation and within the broad parameters of an individual's training and licensure, while subject to appropriate supervision and meeting or exceeding minimum safety standards. …

Axillo-Caval Extra-Anatomic Venous Bypass Creation Via Direct Percutaneous Puncture Of The Superior Vena Cava, Stephan S. Leung, Patrick Lee, Anthony N. Hage, Robert W. Ford

Department of Radiology Faculty Papers

No abstract provided.

Large-Bore Mechanical Thrombectomy Versus Catheter-Directed Thrombolysis In The Management Of Intermediate-Risk Pulmonary Embolism: Primary Results Of The Peerless Randomized Controlled Trial, Wissam Jaber, Carin Gonsalves, Stefan Stortecky, Samuel Horr, Orestis Pappas, Ripal Gandhi, Keith Pereira, Jay Giri, Sameer Khandhar, Khawaja Afzal Ammar, David Lasorda, Brian Stegman, Lucas Busch, David Dexter, Ezana Azene, Nikhil Daga, Fakhir Elmasri, Chandra Kunavarapu, Mark Rea, Joseph Rossi, Joseph Campbell, Jonathan Lindquist, Adam Raskin, Jason Smith, Thomas Tamlyn, Gabriel Hernandez, Parth Rali, Torrey Schmidt, Jeffrey Bruckel, Juan Camacho, Jun Li, Samy Selim, Catalin Toma, Sukhdeep Singh Basra, Brian Bergmark, Bhavraj Khalsa, David Zlotnick, Jordan Castle, David O'Connor, C. Michael Gibson

Department of Radiology Faculty Papers

BACKGROUND: There are a lack of randomized controlled trial data comparing outcomes of different catheter-based interventions for intermediate-risk pulmonary embolism.

METHODS: PEERLESS is a prospective, multicenter, randomized controlled trial that enrolled 550 patients with intermediate-risk pulmonary embolism with right ventricular dilatation and additional clinical risk factors randomized 1:1 to treatment with large-bore mechanical thrombectomy (LBMT) or catheter-directed thrombolysis (CDT). The primary end point was a hierarchal win ratio composite of the following (assessed at the sooner of hospital discharge or 7 days after the procedure): (1) all-cause mortality, (2) intracranial hemorrhage, (3) major bleeding, (4) clinical deterioration and/or escalation to …

The Impacts Of Artificial Intelligence In Radiology, Misty Farmer, Wendy Trzyna

Theses, Dissertations and Capstones

Introduction: There has been significant growth in the use of Artificial Intelligence (AI) in the healthcare industry, especially in Medical Imaging. Radiology has been the clear frontrunner in the adoption of AI in medicine, due in part to the massive amount of digital data available for use in Deep Learning (DL) AI integration has the potential to solve multiple challenges in radiology, address workload issues and transform the field.

Purpose of the Study: The purpose of the research was to evaluate the impact of implementing Artificial Intelligence in radiology to determine if these technologies have had an impact …

Magnetization Transfer Ratio In The Typically Developing Pediatric Spinal Cord: Normative Data And Age Correlation, Sara Naghizadeh Kashani, Iswarya Vel, Zahra Sadeghi Adl, Shiva Shahrampour, Devon Middleton, Mahdi Alizadeh, Laura Krisa, Scott Faro, Slimane Tounekti, Julien Cohen-Adad, Feroze Mohamed

Department of Radiology Faculty Papers

BACKGROUND AND PURPOSE: This study presents automated atlas-based magnetization transfer (MT) measurements of the typically developing pediatric cervical spinal cord (SC). We report normative MT ratio (MTR) values from the whole cervical cord white matter (WM) and WM tracts, examining variations with age, sex, height, and weight.

METHODS: MT scans of 33 healthy females (mean age = 12.8) and 22 males (mean age = 13.09) were acquired from the cervical SC (C2-C7) using a 3.0 T MRI. Data were processed using the SC Toolbox, segmented, and registered to the PAM50 template. Affine and non-rigid transformations co-registered the PAM50 WM atlas …

Sarcoidosis With Isolated Osseous Manifestations Mimicking Metastatic Malignancy, Ahmed Ismail, Ahmed Saleh, Yanis Boumber

Department of Medicine Faculty Publications

Sarcoidosis is an inflammatory disease of unknown etiology that commonly involves multiple organ systems, with the lungs and lymph nodes most frequently affected. Osseous involvement, although recognized, is considered uncommon and often overlooked due to its nonspecific clinical and radiographic features. Patients may be asymptomatic or present with pain, swelling, and functional limitations of the affected limb. Imaging can reveal findings such as bone lesions that mimic malignancy, including lytic or sclerotic changes. Diagnosis relies on histopathological confirmation of non-caseating granulomas. Treatment is directed at symptom relief and preservation of limb function. Here, we present a rare case of isolated …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Feasibility Of Large Language Models For Ceus Li-Rads Categorization Of Small Liver Nodules In Patients At Risk For Hepatocellular Carcinoma, Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu

Department of Radiology Faculty Papers

BACKGROUND: Large language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigated.

PURPOSE: To evaluate the performance of LLMs integrated with Contrast-enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) in diagnosing small (≤20mm) hepatocellular carcinoma (sHCC) in high-risk patients.

MATERIALS AND METHODS: From November 2014 to December 2023, high-risk HCC patients with untreated small (≤20mm) focal liver lesions (sFLLs), were included in this retrospective study. ChatGPT-4.0, ChatGPT-4o, ChatGPT-4o mini, and Google Gemini were integrated with imaging features from structured CEUS LI-RADS reports to assess their diagnostic performance for sHCC. …

Association Between Various Types Of Corticosteroids And Mortality For Severe Community-Acquired Pneumonia In Adults: A Systematic Review And Network Meta-Analysis, Peng Wang, Jun Wan, Qiaoyu You, Yuxin Zheng, Wenhao Xu, Jialing He, Liyuan Peng, Cuyubamba Dominguez Jorge Luis, Yuning Feng, Ping Xu, Xinrong Li, Weelic Chong, Yang Hai, Lu Jia, Fang Fang, Yu Zhang

Department of Medical Oncology Faculty Papers

OBJECTIVE: This study aims to conduct a systematic review and network meta-analysis to evaluate the efficacy and safety of specific corticosteroids, including but not limited to hydrocortisone, methylprednisolone, prednisolone, and dexamethasone, in the treatment of severe community-acquired pneumonia (SCAP). Efficacy will be assessed using specific outcomes, such as 30-day mortality and the requirement for mechanical ventilation. Safety evaluations will include adverse events like gastrointestinal bleeding and healthcare-associated infections. The study seeks to address the gaps identified in the latest guidelines regarding the optimal use of different corticosteroid types and to provide recommendations for clinical practice.

DATA SOURCES: This study conducted …

Beta-Blocker Use In Patients Undergoing Non-Cardiac Surgery: A Systematic Review And Meta-Analysis, Doménica Herrera Hernández, Bárbara Abreu, Tania S. Xiao, Andreina Rojas, Kevin López Romero, Valentina Contreras, Sol Villa Nogueyra, Zulma Sosa, Samantha M. Alvarez, Camila Sánchez Cruz, Ernesto Calderón Martinez

Department of Radiology Faculty Papers

BACKGROUND: The use of beta-blockers in the perioperative period has been widely investigated due to their potential to reduce the risk of major adverse cardiovascular and cerebrovascular events (MACCE) and mortality; yet their overall impact on various postoperative outcomes remains debated. This study constitutes a systematic review and meta-analysis of the impact of beta-blockers on mortality, MI, stroke, and other adverse effects such as hypotension and bradycardia in patients undergoing non-cardiac surgery.

METHODS: A comprehensive systematic review and meta-analysis were conducted according to PRISMA 2020 guidelines. Searches were performed across PubMed, Cochrane, Web of Science, Scopus, EMBASE, and CINAHL databases; …

Pathological Fractures And The Perils Of Purchasing Steroids Online, Danielle C Thor, Valerie Rome

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Exogenous steroids are a staple of modern medicine, with utility in a variety of direct and supplemental treatment modalities. However, all pharmaceuticals are undoubtedly coupled with unique side effect profiles, and steroids are no exception. In the case presented, the assessment and management of a 36-year-old male who inappropriately self-administered high-dose steroids for prolonged periods of time is reviewed. In doing so, attention is drawn to both the impact of glucocorticoid-induced osteoporosis and the greater risk of online availability of these powerful medications.

Multimodal Functional Imaging And Clinical Correlates Of Pain Regions In Chronic Low-Back Pain Patients Treated With Spinal Cord Stimulation: A Pilot Study, Yazan Shamli Oghli, Arjun Ashok, Steven Glener, Isaiah Ailes, Mashaal Syed, Kichang Kang, Sara Naghizadeh Kashani, Islam Fayed, Feroze Mohamed, Kiran Talekar, Laura Krisa, Chengyuan Wu, Caio Matias, Mahdi Alizadeh

Department of Radiology Faculty Papers

OBJECTIVE: Spinal cord stimulation (SCS) is an invasive treatment option for patients suffering from chronic low-back pain (cLBP). It is an effective treatment that has been shown to reduce pain and increase the quality of life in patients. However, the activation of pain processing regions of cLBP patients receiving SCS has not been assessed using objective, quantitative functional imaging techniques. The purpose of the present study was to compare quantitative resting-state (rs)-fMRI and arterial spin labeling (ASL) measures between SCS patients and healthy controls and to correlate clinical measures with quantitative multimodal imaging indices in pain regions.

METHODS: Multi-delay 3D …

Clinical And Radiological Identification And Management Of Sapho Syndrome, Obyda Al-Housni, Jessica M. Alonso, Matthew Thornburg, Enny Cancio

HCA Healthcare Journal of Medicine

Introduction

Synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome is an autoinflammatory disease whose acronymic name stands for the symptoms commonly seen in the disease. These symptoms typically occur simultaneously, in different combinations, in patients during exacerbations of the disease. SAPHO syndrome is a rare disease, most frequently seen in patients aged 30 to 50. It is estimated to be found in 1 in 10 000 persons in White populations, with an even lower incidence seen in non-White populations.

Case Presentation

A post-menopausal woman with a medical history of SAPHO presented to the emergency department with left foot pain and …

Renal Mass Imaging Modalities: Does Body Mass Index (Bmi) Matter?, Young Son, Mark E Quiring, Raeann M Dalton, Brian Thomas, Noah Davidson, Dayna Devincentz, Collin Payne, Sahil H Parikh, Benjamin A Fink, Thomas Mueller, Gordon Brown

Rowan-Virtua School of Osteopathic Medicine Departmental Research

PURPOSE: Accurate measurement of renal mass size is crucial in the management of renal cancer. With the burdensome cost of imaging yet its need for management, a better understanding of the variability among patients when determining mass size remains of urgent importance. Current guidelines on optimal imaging are limited, especially with respect to body mass index (BMI). The aim of this study is to discern which modalities accurately measure renal mass size and whether BMI influences such accuracy.

METHODS: A multi-institutional chart review was performed for adult patients undergoing partial or radical nephrectomy between 2018 and 2021, with 236 patients …

Checklist For Reproducibility Of Deep Learning In Medical Imaging, Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan Halabi, Joseph Yacoub, Yuankai Hou, Khaled Younis, Bradley Erickson, Elizabeth Krupinski, Shahriar Faghani

Department of Radiology Faculty Papers

The application of deep learning (DL) in medicine introduces transformative tools with the potential to enhance prognosis, diagnosis, and treatment planning. However, ensuring transparent documentation is essential for researchers to enhance reproducibility and refine techniques. Our study addresses the unique challenges presented by DL in medical imaging by developing a comprehensive checklist using the Delphi method to enhance reproducibility and reliability in this dynamic field. We compiled a preliminary checklist based on a comprehensive review of existing checklists and relevant literature. A panel of 11 experts in medical imaging and DL assessed these items using Likert scales, with two survey …

Blunt Cerebrovascular Injury (Bcvi): Universal Cta Neck Screening At Level 2 Trauma Center, Tamine Gogel

Doctor of Nursing Practice Projects

Blunt Cerebrovascular Injury (BCVI) refers to injuries to the vessels supplying blood to the brain, primarily carotid and vertebral arteries, and can result from trauma, resulting in stroke by vessel dissection, thrombus formation, embolization, and hemorrhage. Timely identification is crucial for effective intervention and improved outcomes. This doctoral project proposes the implementation of universal screening using Computed Tomography Angiography (CTA) of the neck during initial workup for blunt force trauma at a Level II ACS-verified trauma center. The primary objective is to mitigate potential delays in diagnosing and treating BCVI, thereby reducing the likelihood of complications. Patients ≥ 15 years …

Early Outcomes Of Mr-Guided Sbrt For Patients With Recurrent Pancreatic Adenocarcinoma, Spencer Poiset, Sophia Shah, Louis Cappelli, Rani Anné, Karen Mooney, Maria Werner-Wasik, Talya Laufer, James Posey, Daniel Lin, Atrayee Mallick, Harish Lavu, Babar Bashir, Charles Yeo, Adam Mueller

Kimmel Cancer Center Faculty Papers

BACKGROUND: Local treatment options for locally recurrent pancreatic adenocarcinoma (LR-PAC) are limited, with median survival time (MST) of 9-13 months (mos) following recurrence. MRI-guided stereotactic body radiation therapy (MRgSBRT) provides the ability to dose escalate while sparing normal tissue. Here we report on the early outcomes of MRgSBRT for LR-PAC.

METHODS: Patients with prior resection of pancreatic adenocarcinoma with local recurrence treated with MRgSBRT at a single tertiary referral center from 5-2021 to 2-2023 were identified from our prospective database. MRgSBRT was delivered to 40-50 Gy in 4-5 fractions with target and OAR delineation per institutional standards. Endpoints included local …

A Multi-Institutional Meningioma Mri Dataset For Automated Multi-Sequence Image Segmentation, Dominic Labella, Omaditya Khanna, Shan Mcburney-Lin, Ryan Mclean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary Reitman, Jeffrey Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Nico Sollmann, David Diffley, Khanak Nandolia, Daniel Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan Stein, Mahsa Taherzadeh, Eduardo Portela De Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam Shawali, Nikolay Yordanov, Joel Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann Martin, Abdullah Okar, Gennaro D'Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, Evan Calabrese

Department of Radiology Faculty Papers

Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by …

Applications Of Deep Learning With Detecting Intracranial Aneurysms On Ct Angiograms: A Literature Review, Christian Fang, Emily Wang

Rowan-Virtua Research Day

INTRODUCTION

Deep learning is a method of artificial intelligence involving progressively layered neural networks to extrapolate patterns from data to provide predictions. Moreover, given the arduous nature required for examining CT scans for intracranial aneurysms, discovering ways to expedite this process is beneficial. The use of deep learning to evaluate CT angiograms for intracranial aneurysms has been sparsely studied. This literature review aims to determine the accuracy and reliability of deep learning to analyze CT angiograms in patients suspected to have intracranial aneurysms.

METHODS

A qualitative review of literature using PubMed, SCOPUS, and EMBASE was conducted. Inclusion criteria comprised articles …

Unveiling The Potential: The Role Of Ai-Enhanced Ecg In Cardiovascular Disease Detection, Alisha Vincent

Rowan-Virtua Research Day

Background: The Electrocardiogram (ECG) is a widely utilized, non-invasive, cost-effective cardiac test. Its integration with Artificial Intelligence (AI) has empowered it to become a potent screening tool and a predictor for various cardiovascular diseases, especially in asymptomatic individuals. Objective: This review investigates the utility of AI-powered ECG in early detection of cardiac conditions, focusing on conditions such as low ejection fraction (LEF), atrial fibrillation (AF), aortic valve stenosis (AVS), and cardiac amyloidosis (CA). Methods: A literature review spanning 2018 to 2024 was conducted, analyzing 10 articles - 3 on AF, 3 on AVS, 3 on LEF, and …

Using Fmri To Assess Effectiveness Of Olanzapine Treatment For Schizophrenia, William Kyle Copenhaver, David F. Lo, Hanna Rothenberg, Eeshan Khurana, Valerie Rome, Uzayr Wasif, Don D. Shamilov

Rowan-Virtua Research Day

Schizophrenia is a complex mental illness with neurobiological underpinnings and misconceptions about violence. Schizophrenia is associated with high levels of creativity and structural traits like fewer D2 receptors. Patients face reduced life expectancy due to cardiovascular diseases and cope through smoking and sedentariness. Treatment involves pharmacological antipsychotics like olanzapine and nonpharmacological approaches. Olanzapine works by antagonizing D2 receptors but has side effects like weight gain and diabetes risk. fMRI is used to study treatment mechanisms and predict response, but research on olanzapine's brain network effects is limited.

Ultrasound Versus Radiography For Evaluating Surgical Necrotizing Enterocolitis, Sayed H. Aftab, Santiago Martinez-Correa, Minh-Huy Huynh, Wondwossen T. Lerebo, Jorge Delgado, Rebecca Denis, Misun Hwang

Rowan-Virtua Research Day

Purpose:

Necrotizing enterocolitis (NEC) is an abdominal inflammatory condition that is common in premature neonates. Although abdominal radiograph (AR) remains the imaging standard for NEC, it may miss up to 50% of early signs of NEC and has been described to have a sensitivity as low as 15.4% for detecting pneumoperitoneum. Abdominal ultrasound (US) is portable, non-invasive, and allows real-time bowel integrity, movement, and perfusion assessment. We aim to evaluate the concordance between US and AR in detecting NEC features and the diagnostic performance of both modalities in detecting pneumoperitoneum.

Methods and materials:

We conducted an IRB-approved retrospective, cross-sectional, single-center …

Promises And Risks Of Applying Ai Medical Imaging To Early Detection Of Cancers, And Regulation For Ai Medical Imaging, Yiyao Zhang

The Journal of Purdue Undergraduate Research

No abstract provided.

Ai-Enhanced Detection Of Clinically Relevant Structural And Functional Anomalies In Mri: Traversing The Landscape Of Conventional To Explainable Approaches, Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, Masoud Khodarahmi, Javad Zahiri

Publications and Research

Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (MRI), stands as a vital area of research with far-reaching implications across various medical fields. This review meticulously examines the integration of artificial intelligence (AI) in anomaly detection for MR images, spotlighting its transformative impact on medical diagnostics. We delve into the forefront of AI applications in MRI, exploring advanced machine learning (ML) and deep learning (DL) methodologies that are pivotal in enhancing the precision of diagnostic processes. The review provides a detailed analysis of preprocessing, feature extraction, classification, and segmentation techniques, alongside a comprehensive evaluation of …

A Case Of Neurosarcoidosis And Its Radiographic Findings, Chase Tenewitz, Brantley Grimball, Druv Patel

South Atlantic Division GME Research Day 2024

No abstract provided.

A Case Of Bullet Embolization And Its Management, Emily Clifton, William Clifton, Chase Tenewitz, David Kupshik, Michael Jones

South Atlantic Division GME Research Day 2024

No abstract provided.

Machine-Learning-Enabled Diagnostics With Improved Visualization Of Disease Lesions In Chest X-Ray Images, Md. Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho

Mathematics & Statistics Faculty Publications

The class activation map (CAM) represents the neural-network-derived region of interest, which can help clarify the mechanism of the convolutional neural network’s determination of any class of interest. In medical imaging, it can help medical practitioners diagnose diseases like COVID-19 or pneumonia by highlighting the suspicious regions in Computational Tomography (CT) or chest X-ray (CXR) film. Many contemporary deep learning techniques only focus on COVID-19 classification tasks using CXRs, while few attempt to make it explainable with a saliency map. To fill this research gap, we first propose a VGG-16-architecture-based deep learning approach in combination with image enhancement, segmentation-based region …

Novel Engineering Approaches For Orthopedic Injury Treatment And Infection Diagnosis, Cynthia Co

Bioengineering Dissertations - Archive

Bioengineering has made significant contributions to the treatment of orthopedic injury through interdisciplinary approaches. Central to these advancements are many orthopedic implants, including anchors and joint replacements, which have been designed to restore mobility. Despite their functional efficacy, these products have limited lifespan and are associated with many complications, such as implant-associated infection. The success of implant design and function, both in the short and long term, is paramount for enhancing patient outcomes and overall well-being. Therefore, my thesis work is dedicated to addressing these critical challenges, aiming to maximize their treatment effect while minimizing the implant-associated complications.

Long-term patient …