Feasibility study for image reconstruction in circular digital tomosynthesis (CDTS) from limited-scan angle data based on compressed-sensing theory-Reference-Cited by-同舟云学术

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Feasibility study for image reconstruction in circular digital tomosynthesis (CDTS) from limited-scan angle data based on compressed-sensing theory

Published:2015-03 Issue: Volume:777 Page:161-166
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Park Yeonok,Je Uikyu,Cho Hyosung,Hong Daeki,Park Chulkyu,Cho Heemoon,Choi Sungil,Woo Taeho

Funder

Basic Atomic Energy Research Institute (BAERI) program of the Ministry of Science and Technology (MOST)

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference12 articles.

1. Identification of stroke-prone patients by panoramic and cervical spine radiography.

2. Image-intensifier-based volume tomographic angiography imaging system

3. Digital x-ray tomosynthesis: current state of the art and clinical potential

4. Optimization of the matrix inversion tomosynthesis (MITS) impulse response and modulation transfer function characteristics for chest imaging

5. Optimization of the acquisition geometry in digital tomosynthesis of the breast

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1. Deep residual learning with Anscombe transformation for low-dose digital tomosynthesis;Journal of the Korean Physical Society;2024-06-17

2. Design of stationary computed tomography baggage scanner with π-angle sparsity and compressed-sensing reconstruction: simulation study;Journal of Instrumentation;2023-01-01

3. A deep learning method for high-quality ultra-fast CT image reconstruction from sparsely sampled projections;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2022-04

4. A novel few-views arrangement of the fixed X-ray tubes for tomosynthesis;Physica Medica;2022-01

5. Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model;Physics in Medicine & Biology;2021-01-25

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