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Journal of Imaging, Volume 8, Issue 5

May 2022 - 32 articles

Cover Story: Tumor segmentation requires a highly trained physician. To reduce human intervention, we propose a full-body 3D positron emission tomography (PET) image with two 2D projections obtained through Maximum Intensity Projections (MIPs). The two projections are then input to two 2D convolutional neural networks (CNNs) trained to classify lung vs. esophageal cancer. A weighted class activation map (CAM) is obtained for each projection, and the intersection of the two 2D orthogonal CAMs serves to detect the 3D region around the tumor. To refine the segmentation, we add a geometric loss based on prior knowledge penalizing the distance between the CAMs and a seed point provided by the user. Finally, the 3D segmentation is fed to a 3D CNN to predict the patient outcome. View this paper
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Articles (32)

  • Article
  • Open Access
12 Citations
5,509 Views
11 Pages

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation

  • David Chen,
  • Huzefa Bhopalwala,
  • Nakeya Dewaswala,
  • Shivaram P. Arunachalam,
  • Moein Enayati,
  • Nasibeh Zanjirani Farahani,
  • Kalyan Pasupathy,
  • Sravani Lokineni,
  • J. Martijn Bos and
  • Peter A. Noseworthy
  • + 6 authors

The analysis and interpretation of cardiac magnetic resonance (CMR) images are often time-consuming. The automated segmentation of cardiac structures can reduce the time required for image analysis. Spatial similarities between different CMR image ty...

  • Article
  • Open Access
9 Citations
7,653 Views
24 Pages

Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device

  • Christof Kauba,
  • Martin Drahanský,
  • Marie Nováková,
  • Andreas Uhl and
  • Štěpán Rydlo

Finger vein recognition has evolved into a major biometric trait in recent years. Despite various improvements in recognition accuracy and usability, finger vein recognition is still far from being perfect as it suffers from low-contrast images and o...

  • Article
  • Open Access
14 Citations
4,901 Views
15 Pages

Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons’ Materials, Techniques, and State of Preservation: A Case Study

  • Theofanis Gerodimos,
  • Anastasios Asvestas,
  • Georgios P. Mastrotheodoros,
  • Giannis Chantas,
  • Ioannis Liougos,
  • Aristidis Likas and
  • Dimitrios F. Anagnostopoulos

X-ray fluorescence (XRF) spectrometry has proven to be a core, non-destructive, analytical technique in cultural heritage studies mainly because of its non-invasive character and ability to rapidly reveal the elemental composition of the analyzed art...

  • Article
  • Open Access
12 Citations
5,216 Views
11 Pages

Dental MRI of Oral Soft-Tissue Tumors—Optimized Use of Black Bone MRI Sequences and a 15-Channel Mandibular Coil

  • Adib Al-Haj Husain,
  • Esra Sekerci,
  • Daphne Schönegg,
  • Fabienne A. Bosshard,
  • Bernd Stadlinger,
  • Sebastian Winklhofer,
  • Marco Piccirelli and
  • Silvio Valdec

Soft-tissue lesions in the oral cavity, one of the most common sites for tumors and tumor-like lesions, can be challenging to diagnose and treat due to the wide spectrum from benign indolent to invasive malignant lesions. We report an abnormally larg...

  • Review
  • Open Access
15 Citations
3,856 Views
20 Pages

Augmented reality (AR) is a field of technology that has evolved drastically during the last decades, due to its vast range of applications in everyday life. The aim of this paper is to provide researchers with an overview of what has been surveyed s...

  • Article
  • Open Access
14 Citations
4,710 Views
15 Pages

Generation of Ince–Gaussian Beams Using Azocarbazole Polymer CGH

  • Sumit Kumar Singh,
  • Honoka Haginaka,
  • Boaz Jessie Jackin,
  • Kenji Kinashi,
  • Naoto Tsutsumi and
  • Wataru Sakai

Ince–Gaussian beams, defined as a solution to a wave equation in elliptical coordinates, have shown great advantages in applications such as optical communication, optical trapping and optical computation. However, to ingress these applications...

  • Article
  • Open Access
10 Citations
5,678 Views
22 Pages

Digital Hebrew Paleography: Script Types and Modes

  • Ahmad Droby,
  • Irina Rabaev,
  • Daria Vasyutinsky Shapira,
  • Berat Kurar Barakat and
  • Jihad El-Sana

Paleography is the study of ancient and medieval handwriting. It is essential for understanding, authenticating, and dating historical texts. Across many archives and libraries, many handwritten manuscripts are yet to be classified. Human experts can...

  • Article
  • Open Access
8 Citations
3,764 Views
17 Pages

The physical process underlying microscopy imaging suffers from several issues: some of them include the blurring effect due to the Point Spread Function, the presence of Gaussian or Poisson noise, or even a mixture of these two types of perturbation...

  • Review
  • Open Access
88 Citations
9,747 Views
22 Pages

Image Augmentation Techniques for Mammogram Analysis

  • Parita Oza,
  • Paawan Sharma,
  • Samir Patel,
  • Festus Adedoyin and
  • Alessandro Bruno

Research in the medical imaging field using deep learning approaches has become progressively contingent. Scientific findings reveal that supervised deep learning methods’ performance heavily depends on training set size, which expert radiologi...

  • Article
  • Open Access
12 Citations
3,443 Views
12 Pages

Comparison of Ultrasound Image Classifier Deep Learning Algorithms for Shrapnel Detection

  • Emily N. Boice,
  • Sofia I. Hernandez-Torres and
  • Eric J. Snider

Ultrasound imaging is essential in emergency medicine and combat casualty care, oftentimes used as a critical triage tool. However, identifying injuries, such as shrapnel embedded in tissue or a pneumothorax, can be challenging without extensive ultr...

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J. Imaging - ISSN 2313-433XCreative Common CC BY license