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Tomography MDPI

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Tomography MDPI

Tomography (ISSN 2379-139X) is an journal, covering all aspects of #(bio)medical imaging, published monthly online by .

07/10/2025

🧬 Sinogram Inpainting with Generative Adversarial Networks and Shape Priors

Can GANs fill in the missing pieces of medical imaging data? This study introduces an innovative sinogram inpainting method using Generative Adversarial Networks and shape priors, paving the way for higher-quality CT reconstructions.

🔗 Full paper: https://brnw.ch/21wWpbV

X-ray computed tomography is a widely used, non-destructive imaging technique that computes cross-sectional images of an object from a set of X-ray absorption profiles (the so-called sinogram). The computation of the image from the sinogram is an ill-posed inverse problem, which becomes underdetermi...

07/10/2025

🧲 A Comparison of the Sensitivity and Cellular Detection Capabilities of Magnetic Particle Imaging and Bioluminescence Imaging

Discover how Magnetic Particle Imaging (MPI) measures up against Bioluminescence Imaging (BLI) in detecting cellular signals. The paper provides key insights into sensitivity, accuracy, and imaging depth—crucial for advancing preclinical imaging techniques!

🔗 Read here: https://brnw.ch/21wWpbS

Background: Preclinical cell tracking is enhanced with a multimodal imaging approach. Bioluminescence imaging (BLI) is a highly sensitive optical modality that relies on engineering cells to constitutively express a luciferase gene. Magnetic particle imaging (MPI) is a newer imaging modality that di...

07/10/2025

🧠 Graph Neural Network Learning on the Pediatric Structural Connectome

Explore how Graph Neural Networks (GNNs) can help us better understand the developing brain through advanced modeling of pediatric structural connectomes. This study highlights the potential of AI-driven insights in neuroscience and pediatric imaging!

🔗 Read the full article: https://brnw.ch/21wWpbP

Purpose: S*x classification is a major benchmark of previous work in learning on the structural connectome, a naturally occurring brain graph that has proven useful for studying cognitive function and impairment. While graph neural networks (GNNs), specifically graph convolutional networks (GCNs), h...

06/10/2025

📘 Just starting your journey in thoracic imaging?
This educational article provides practical “tips and tricks” in thoracic radiology, following a findings-based approach to make complex cases easier to interpret.

💡 Learn how to:

Recognize common patterns and pitfalls

Improve diagnostic confidence

Apply systematic approaches to chest imaging

Perfect for medical students, residents, and early-career radiologists looking to strengthen their thoracic imaging skills.

👉 Read the full paper: https://brnw.ch/21wWnyN

This review has the purpose of illustrating schematically and comprehensively the key concepts for the beginner who approaches chest radiology for the first time. The approach to thoracic imaging may be challenging for the beginner due to the wide spectrum of diseases, their overlap, and the complex...

06/10/2025

🧬 Can tumor morphology predict early response to chemotherapy?
This multicenter retrospective study investigates how tumor shape and structure can help identify poor responders early in neoadjuvant chemotherapy for breast cancer.

Why it matters:
🎯 Early prediction allows clinicians to adjust treatment plans in time, improving patient outcomes and avoiding unnecessary toxicity.
🩺 The study emphasizes the importance of image-based biomarkers for precision oncology.

👉 Read the full article: https://brnw.ch/21wWnyK

Background: This multicenter and retrospective study investigated the additive value of tumor morphologic features derived from the functional tumor volume (FTV) tumor mask at pre-treatment (T0) and the early treatment time point (T1) in the prediction of pathologic outcomes for breast cancer patien...

06/10/2025

💗 Exploring New Frontiers in Breast Cancer Imaging!
This study evaluates how Magnetic Resonance Elastography (MRE) can be used to assess prognostic factors and treatment response in patients with invasive breast cancer.

🧠 MRE measures tissue stiffness, offering valuable insights into tumor characteristics that go beyond traditional imaging.
✨ It has the potential to:

Improve treatment monitoring

Support personalized therapy decisions

Enhance prediction of clinical outcomes

👉 Read the full paper: https://brnw.ch/21wWnyG

Objectives: To assess the elasticity values in breast tissues using magnetic resonance elastography (MRE) and examine the association between elasticity values of invasive breast cancer with prognostic factors and the pathologic response to neoadjuvant systemic therapy (NST). Methods: A total of 57 ...

03/10/2025

Spectroscopic MRI-Guided Adaptive Radiation Therapy

🧠 Fighting glioblastoma with advanced imaging and radiation therapy!
This research applies a radiation therapy volume analysis pipeline to assess the utility of spectroscopic MRI (sMRI)-guided adaptive radiation therapy for glioblastoma.

Why it’s important:
💡 Glioblastoma is one of the most aggressive brain tumors
🧬 Adaptive radiation therapy aims to personalize treatment
🔬 sMRI provides metabolic insights beyond standard imaging, potentially guiding more effective and targeted therapies

👉 Read the full article: https://brnw.ch/21wWjYO

Accurate radiation therapy (RT) targeting is crucial for glioblastoma treatment but may be challenging using clinical imaging alone due to the infiltrative nature of glioblastomas. Precise targeting by whole-brain spectroscopic MRI, which maps tumor metabolites including choline (Cho) and N-acetylas...

03/10/2025

Artificial Intelligence in Abdominal Imaging

🌟 From diagnosis to treatment planning — AI is reshaping abdominal imaging!
This paper highlights evolving and novel applications of AI in the field, including:
🧪 Detecting subtle abnormalities
🧠 Enhancing diagnostic confidence
⚡ Streamlining workflows for radiologists
🎯 Supporting personalized patient care

Abdominal imaging is complex — but with AI, clinicians are gaining powerful tools for faster and more precise interpretation.

👉 Discover more: https://brnw.ch/21wWjYL

Advancements in artificial intelligence (AI) have significantly transformed the field of abdominal radiology, leading to an improvement in diagnostic and disease management capabilities. This narrative review seeks to evaluate the current standing of AI in abdominal imaging, with a focus on recent l...

03/10/2025

🚀 AI and Deep Learning are transforming medical imaging!

This study explores how 3D CT super-resolution powered by deep learning can improve the accuracy of AI-based pulmonary nodule characterization.

Why does it matter? 🫁 Pulmonary nodules are a key factor in diagnosing lung cancer. Enhancing CT image resolution with deep learning could:
✨ Improve early detection
✨ Reduce false positives
✨ Assist radiologists in making more reliable diagnoses

👉 Read the full article: https://brnw.ch/21wWjYI

Background/Objectives: Correct pulmonary nodule volumetry and categorization is paramount for accurate diagnosis in lung cancer screening programs. CT scanners with slice thicknesses of multiple millimetres are still common worldwide, and slice thickness has an adverse effect on the accuracy of the ...

03/10/2025

🧠 Advances in Focused Ultrasound for the Treatment of Brain Tumors

Focused ultrasound is emerging as a non-invasive approach to target brain tumors, offering new possibilities for precision medicine and improved patient outcomes.

👉 Read more:

Employing the full arsenal of therapeutics to treat brain tumors is limited by the relative impermeability of the blood–brain and blood–tumor barriers. In physiologic states, the blood–brain barrier serves a protective role by passively and actively excluding neurotoxic compounds; however, thi...

03/10/2025

🧑‍⚕️ Head and Neck Squamous Cell Carcinoma: Insights from Dual-Energy CT (DECT)

Dual-Energy CT provides enhanced imaging details that improve diagnosis, staging, and treatment planning for head and neck cancers.

👉 Read more:

Head and neck cancer represents the seventh most common neoplasm worldwide, with squamous cell carcinoma being the most represented histologic variant. The rising incidence of the neoplastic pathology of this district, coupled with the drastic changes in its epidemiology over the past decades, have ...

03/10/2025

🫀 Correlation of Coronary Calcium with Coronary Angiography in Lung Transplant Patients

Coronary calcium measured on conventional CT may offer important insights into cardiovascular health in lung transplant recipients — supporting better risk assessment and patient care.

👉 Read more:

Introduction and objective: The pre-transplant protocol for lung transplant candidates includes a chest CT scan to assess disease progression and often coronary angiography (CA) to rule out coronary artery disease (CAD). Coronary artery calcium is commonly observed in these pre-transplant CT scans. ...

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