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The objective of this study was to develop a PET tumor-segmentation framework that addresses the challenges of limited spatial resolution, high image noise, and lack of clinical training data with ground-truth tumor boundaries in PET…

Three-dimensional inspection of nanostructures such as integrated circuits is important for security and reliability assurance. Two scanning operations are required: ptychographic to recover the complex transmissivity of the specimen; and…

Image and Video Processing · Electrical Eng. & Systems 2024-08-15 Iksung Kang , Yi Jiang , Mirko Holler , Manuel Guizar-Sicairos , A. F. J. Levi , Jeffrey Klug , Stefan Vogt , George Barbastathis

In neurosurgical procedures maximizing the resection of tumor tissue while avoiding healthy tissue is of paramount importance and a difficult task due to many factors, such as surrounding eloquent brain. Swiftly identifying tumor tissue for…

Robotics · Computer Science 2023-11-09 Kent Y. Yamamoto , Tanner J. Zachem , Weston A. Ross , Patrick J. Codd

Periacetabular osteotomy is a challenging surgical procedure for treating developmental hip dysplasia, providing greater coverage of the femoral head via relocation of a patient's acetabulum. Since fluoroscopic imaging is frequently used in…

Computer Vision and Pattern Recognition · Computer Science 2019-10-31 Robert Grupp , Mehran Armand , Russell Taylor

Rapid, comprehensive, and accurate cell phenotyping without compromising viability, is crucial to many important biomedical applications, including stem-cell therapy, drug screening, and liquid biopsy. Typical image cytometry methods…

Spatial frequency domain imaging (SFDI) is a low-cost imaging technique that can deliver real-time maps of absorption and reduced scattering coefficients. However, there are a wide range of imaging geometries that practical SFDI systems…

Image and Video Processing · Electrical Eng. & Systems 2023-02-27 Jane Crowley , George S. D. Gordon

Glioblastoma multiforme (GBM) is a fast-growing and highly invasive brain tumour, it tends to occur in adults between the ages of 45 and 70 and it accounts for 52 percent of all primary brain tumours. Usually, GBMs are detected by magnetic…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Matteo Rucco , Lorenzo Falsetti , Giovanna Viticchi

On-invasive optical imaging techniques are essential diagnostic tools in many fields. Although various recent methods have been proposed to utilize and control light in multiple scattering media, non-invasive optical imaging through and…

A prospective study was performed on neurosurgical samples from 18 patients to evaluate the use of Full-Field Optical Coherence Tomography (FF-OCT) in brain tumor diagnosis. FF-OCT captures en face slices of tissue samples at 1\mum…

Synthesizing a densely sampled light field from a single image is highly beneficial for many applications. The conventional method reconstructs a depth map and relies on physical-based rendering and a secondary network to improve the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-01 Andre Ivan , Williem , In Kyu Park

Various imaging modalities are used in patient diagnosis, each offering unique advantages and valuable insights into anatomy and pathology. Computed Tomography (CT) is crucial in diagnostics, providing high-resolution images for precise…

Image and Video Processing · Electrical Eng. & Systems 2024-12-30 Rabeya Tus Sadia , Jie Zhang , Jin Chen

Light field presents a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light field (LF) via a plenoptic camera presents spatio-angular resolution…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Anil Kumar Vadathya , Sharath Girish , Kaushik Mitra

Light field imaging is limited in its computational processing demands of high sampling for both spatial and angular dimensions. Single-shot light field cameras sacrifice spatial resolution to sample angular viewpoints, typically by…

Computer Vision and Pattern Recognition · Computer Science 2018-02-07 Mayank Gupta , Arjun Jauhari , Kuldeep Kulkarni , Suren Jayasuriya , Alyosha Molnar , Pavan Turaga

With the emergence of swept-volume ultrasound (US) probes, precise and almost real-time US volume imaging has become available. This offers many new opportunities for computer guided diagnosis and therapy, 3-D images containing…

Other Computer Science · Computer Science 2008-01-25 Michael Baumann , Vincent Daanen , Antoine Leroy , Jocelyne Troccaz

Fourier ptychographic microscopy (FPM) is a computational approach geared towards creating high-resolution and large field-of-view images without mechanical scanning. To acquire color images of histology slides, it often requires sequential…

Image and Video Processing · Electrical Eng. & Systems 2020-10-28 Ruihai Wang , Pengming Song , Shaowei Jiang , Chenggang Yan , Jiakai Zhu , Chengfei Guo , Zichao Bian , Tianbo Wang , Guoan Zheng

Photoacoustic tomography leverages ultrasound's deep tissue penetration to retrieve optical absorption contrast well beyond the optical diffusion limit. Conventional photoacoustic systems rely on externally delivered light and are therefore…

Optics · Physics 2026-01-06 David C. Garrett , Lihong V. Wang

Multimodal medical image fusion plays an instrumental role in several areas of medical image processing, particularly in disease recognition and tumor detection. Traditional fusion methods tend to process each modality independently before…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Lin Liu , Xinxin Fan , Chulong Zhang , Jingjing Dai , Yaoqin Xie , Xiaokun Liang

Fourier ptychography has attracted a wide range of focus for its ability of large space-bandwidth-produce, and quantative phase measurement. It is a typical computational imaging technique which refers to optimizing both the imaging…

Image and Video Processing · Electrical Eng. & Systems 2022-03-08 Guocheng Zhou , Shaohui Zhang , Yao Hu , Lei Cao , Yong Huang , Qun Hao

Dark Field X-ray Microscopy (DFXM) has advanced 3D non-destructive, high-resolution imaging of strain and orientation in crystalline materials, enabling the study of embedded structures in bulk. However, the photon-intensive nature of…

State-of-the-art LiDAR-camera 3D object detectors usually focus on feature fusion. However, they neglect the factor of depth while designing the fusion strategy. In this work, we are the first to observe that different modalities play…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Mingqian Ji , Jian Yang , Shanshan Zhang