Spectrum of Autoimmune Limbic Encephalitis on FDG PET/CT (RSNA 2019, Sun Dec 01 – 06)

PURPOSE To evaluate the role of FDG PET CT in the diagnosis, treatment response evaluation and follow up of patients…

Read more

Next Generation Sequencing for the Practicing Radiologist (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS Next Generation Sequencing (NGS) is a technique of reading the entire genome or screening few relevant genes for…

Read more

Circulating Tumor DNA (ctDNA) – A Potential Adjunct to FDG-PET Imaging in Cancer Follow Up (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS • With the continuous advances in healthcare - Next Generation Sequencing and PET-CT are revolutionising cancer diagnostics •…

Read more

Tips and Tricks on Basic Programming Tools for Radiologists to Handle DICOM Data (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS • In the era of artificial intelligence, it is beneficial for radiologists to learn some basic programming tools…

Read more

Building Robust ML Models Using Federated Learning: The Future of AI Deployment (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS What does Deep Neural Nets learn? Are they cramming or they are learning? How to avoid cramming and…

Read more

How to Lie with Statistics: Things To Keep in Mind While Evaluating a Deep Learning Claim (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS 1. In today's age of deep learning and artificial intelligence, a radiologist must know what to watch out…

Read more

Practical Guide for Deployment of AI Solutions in Clinical Environment: How Did We Do It? (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS • Every AI company developing/validating algorithms on different modalities has this question in mind - how to deploy…

Read more

Getting AI Ready for Deployment: Tuning Algorithms to Specific Sites Using a Single Chest X-Ray Image (RSNA 2019, Sun Dec 01 – 06)

PURPOSE Lack of generalisation of deep neural networks, due to equipment and geographic variability, is a known problem facing the…

Read more

Evaluating the Complimentary Role of Pseudo-STIR in Assessment of Hyperintense Marrow Lesions as Compared to T2-STIR (RSNA 2019, Sun Dec 01 – 06)

PURPOSE T2W weighted images contain inherent T1W weighted contrast. Pseudo-STIR images are generated by a simple post processing technique of…

Read more

Deploying Deep Learning for Quality Control: An AI-assisted Review of Chest X-rays Reported as ‘Normal’ in Routine Clinical Practice (RSNA 2019, Sun Dec 01 – 06)

PURPOSE Quality control in radiology has thus far been restricted to performing random double reads or collating information about clinical…

Read more

Deploying Deep Learning for Quality Control: An AI-assisted Review of Chest X-rays Reported as ‘Normal’ in Routine Clinical Practice (RSNA 2019, Sun Dec 01 – 06)

PURPOSE Quality control in radiology has thus far been restricted to performing random double reads or collating information about clinical…

Read more

Comparison of 90 and 180 Micron Resolution Cone Beam CT Scans in Patients with Artefact Causing Root Canal Filling Material

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Many dental patients have root-canal filled teeth which cause…

Read more

Automated multiregional Prostatesegmentation in Magnetic Resonance using deeply supervised Convolutional Neural Networks

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose A CNN-based automatic prostate segmentation method is proposed, aiming…

Read more

Time to replace T2-STIR with Diffusion-Weighted imaging for visualisation of nerve disorders?

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To determine if diffusion-weighted imaging of nerves can provide…

Read more

Opening the “Black Box” – Radiological Insights into a Deep Neural Network for Lung Nodule Characterisation

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To explain predictions of a deep residual convolutional network…

Read more

Evaluating variability of T2 values of the cartilage, menisci and muscles around knee joint on CartiGram sequence at 1.5 T and 3.0 T MR

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To evaluate the temporal and inter magnetic field strength…

Read more

FuzzyPACS: Linking Large Unorganised Image and Report Databases for Development and Validation of Deep Learning Algorithms

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Developing and validation of Deep Learning (DL) algorithms for…

Read more

Automated classification of chest X-rays as normal/abnormal using a high sensitivity deep learning algorithm

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Majority of Chest X-rays (CXRs) performed globally are normal…

Read more

Towards Virtual MR Imaging: Predicting Diffusion-Weighted Brain MR Images from T2-Weighted Images Using Convolutional Neural Networks

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose In a quest for standardisation and speeding-up for MR…

Read more

“Who Moved My Cheese “?- A Survival Guide on Segmentation & Annotation Tools for Radiologists to adapt to AI Revolution.

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

Read more

The Secret Seven: Free tools that every ‘next-gen’ practicing radiologist should know!

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

Read more

How to take-on Metal-on Metal in MRI: A Step-By-Step Guide to read Musculoskeletal MRI with Metallic implants

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

Read more

How much weighting does T1 Weighting deserve? – Tips and tricks for reading T1 sequences in Musculoskeletal MR scans

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

Read more

Cine Mode MRI in Pre- & Post-Operative Evaluation of Hydrocephalus – Life beyond NPH and aqueduct stenosis

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

Read more

Automated Chest Cavity and Lung Segmentation for Temporal Tracking of Lung Pathologies on Chest X-Ray

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Objectively evaluating progression and regression of lung pathologies on…

Read more

Development and Validation of a Deep Learning Based Automated Lumbar Spinal Canal Segmentation and Measurement Tool

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We describe a novel use-case of Convolutional Neural Networks…

Read more

Initial experiences with Amide Proton Transfer Imaging – Correlation between quantitative MTRasym ratio, rCBV and rCBF values in brain tumours

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Amide proton transfer (APT) imaging is a new molecular…

Read more

Cloud-based semi-automated liver segmentation- Analytical study to compare its speed and accuracy with a semi-automated workstation based software

Poster Presentation at the European Congress of Radiology, Vienna, 2019  Purpose We discuss a novel method to semi-automatically segment liver…

Read more

Stress testing a deep learning algorithm for normal/abnormal classification of Chest X-rays on a spectrum-biased abnormal weighted dataset

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To stress test the performance of a deep learning…

Read more

Better insights with ISC when using a multi-sensory fMRI paradigm

SfN, Nov 6, 2018 *D. SINGLA1, J. KAUR2, A. DHAWAN3, V. MAHAJAN4, R. GARG2; 1Electrical Engin., 2Computer Sci. & Engin.,…

Read more

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

The Lancet; Published online October 11, 2018 Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar…

Read more

Evaluating the Role of Tc99m Sestamibi Scan in Parathyroid Surgery: A 10-Year Institutional Experience

(RSNA 2018, Wed Nov 28 2018 3:50PM - 4:00PM ROOM Z44) PURPOSE In this study we aim to evaluate the…

Read more

Evaluating Variability in Knee CartiGram MRI – A Quantitative Study

(RSNA 2018, Thu Nov 29 2018 11:50AM - 12:00PM ROOM Z15) PURPOSE MRI cartilage assessment using CartiGram is a widely…

Read more

T2 Nerve Imaging of the Brachial Plexus Using Compressed-SENSE Effect on Image Quality and Acquisition Time

(RSNA 2018, Wed Nov 28 2018 3:40PM - 3:50PM ROOM Z17) PURPOSE In this study, compressed sensing is combined with…

Read more

Acceleration of MR Imaging of Spine Using Compressed-SENSE: A Comparison with Existing Standard of Care Clinical Acquisition Methods

(RSNA 2018, Wed Nov 28 2018 11:30AM - 11:40AM ROOM Z41) PURPOSE To objectively evaluate the impact of Compressed-SENSE (CSENSE),…

Read more

Correlation of 99mTc-TRODAT-1 SPECT Imaging Findings and Clinical Staging of Parkinson’s Disease

(Accepted Poster at RSNA 2018, Tue Nov 27 2018 12:45PM - 1:15PM) PURPOSE Parkinson’s disease (PD) in a progressive neurodegenerative…

Read more

Neuroimaging Evidence of Structural and Functional Brain Plasticity After Sight Onset Late in Childhood

(RSNA 2018, Mon Nov 26 2018 3:00PM - 3:10PM ROOM Z21) PURPOSE Direct data from human subjects on the validity…

Read more

Posterior Cortical Variant Alzheimer’s Disease and Lew Body Dementia: Similarities and Differences on FDG PET Scan

(RSNA 2018, Mon Nov 26 2018 3:30PM - 3:40PM ROOM Z44) PURPOSE Posterior cortical atrophy (PCA) is a form of…

Read more

Hepatic Shear Wave Elastography: Correlation Between Liver Stiffness and Esophagogastric Varices

(RSNA 2018, Mon Nov 26 2018 11:40AM - 11:50AM ROOM Z10) PURPOSE To evaluate the role of liver stiffness measurement…

Read more

Medium and Large Vessel Vasculitis: Recognizing Patterns on FDG PET-CT

(RSNA 2018, Sun Nov 25 2018 11:35AM - 11:45AM ROOM Z44) PURPOSE The diagnosis of medium to large-vessel vasculitis and…

Read more

Improving the Accuracy of Deep Learning Networks for Bone-Age Estimation by Incorporating Radiological Insight Guided Feature Analysis

(RSNA 2018, Wed Nov 28 2018 9:00AM - 9:10AM ROOM Z09) PURPOSE The Greulich-Pyle (GP) method of bone age determination…

Read more

Localization and Restaging of Carcinoma Prostate by 68Ga PSMA PET/CT in Patients with Biochemical Recurrence: A Descriptive Study

(RSNA 2018, Mon Nov 26 2018 11:25AM - 11:35AM ROOM Z44) PURPOSE Prostate cancer is the most common solid cancer…

Read more

Mapping the MAPCAs with Dual Source CT: What Do Cardiothoracic Surgeons Want to Know?

(Educational exhibit, RSNA 2018) V Venugopal, MD, New Delhi, India; V Mahajan, MBBS; H Mahajan, MD, MBBS TEACHING POINTS 1.…

Read more

Five Free Radiology Hacks Every Practicing Radiologist Should Know

(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, New Delhi, India; V Venugopal, MD TEACHING POINTS Many free tools available which…

Read more

Amide Proton Transfer Imaging for Brain Tumors: Initial Experience and Current Status

(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, MBA; R Bhattacharjee, MENG; I Saha, PhD; H Mahajan, MD; S Panwar, MD;…

Read more

Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans

Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G. Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, Prashant Warier Arxiv pre-print, March 2018 ABSTRACT Importance: Non-contrast…

Read more

Semi-Automated Quantitative Analysis of Cartilage Thickness and T2 Values

Rafeek T, Sandeep Panwar Jogi, Sriram Rajan, Amit Mehndiratta, Anup Singh Accepted for presentation at ISMRM, 2018 Purpose: Osteoarthris (OA)…

Read more

Quantitative MR Imaging of Articular Knee Cartilage with Axial Loading during Image Acquisition

Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Vidur Mahajan, Sitikanta Roy, Anup Singh, and Amit Mehndiratta Accepted for presentation at…

Read more

Automated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal and Coronal View Knee MRI Imaging

Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Krithika Rangarajan, Anup Singh, and Amit Mehndiratta Accepted for presentation at ISMRM, 2018…

Read more