Search Results - "Radiological physics and technology"

Overview of deep learning in medical imaging by Suzuki, Kenji

“…The use of machine learning (ML) has been increasing rapidly in the medical imaging field, including computer-aided diagnosis (CAD), radiomics, and medical…”
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AI-based computer-aided diagnosis (AI-CAD): the latest review to read first by Fujita, Hiroshi

“…The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of its evolution is quickly increasing. In games like chess,…”
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Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging by Kaji, Shizuo, Kida, Satoshi

“…Since the advent of deep convolutional neural networks (DNNs), computer vision has seen an extremely rapid progress that has led to huge advances in medical…”
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Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning by van Ginneken, Bram

“…Half a century ago, the term “computer-aided diagnosis” (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and…”
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What are useful methods to reduce occupational radiation exposure among radiological medical workers, especially for interventional radiology personnel? by Chida, Koichi

“…Protection against occupational radiation exposure in clinical settings is important. This paper clarifies the present status of medical occupational exposure…”
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Compton imaging for medical applications by Tashima, Hideaki, Yamaya, Taiga

“…Compton imaging exploits inelastic scattering, known as Compton scattering, using a Compton camera consisting of a scatterer detector in the front layer and an…”
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Overview of deep learning in medical imaging by Suzuki, Kenji

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Deep learning-based PET image denoising and reconstruction: a review by Hashimoto, Fumio, Onishi, Yuya, Ote, Kibo, Tashima, Hideaki, Reader, Andrew J., Yamaya, Taiga

“…This review focuses on positron emission tomography (PET) imaging algorithms and traces the evolution of PET image reconstruction methods. First, we provide an…”
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Medical application of particle and heavy ion transport code system PHITS by Furuta, Takuya, Sato, Tatsuhiko

“…The Particle and Heavy Ion Transport code System (PHITS) is a general-purpose Monte Carlo simulation code that has been applied in various areas of medical…”
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Occupational eye dose correlation with neck dose and patient-related quantities in interventional cardiology procedures by Ishii, Hiroki, Chida, Koichi, Satsurai, Ko, Haga, Yoshihiro, Kaga, Yuji, Abe, Mitsuya, Inaba, Yohei, Zuguchi, Masayuki

“…Occupational eye dose monitoring during interventional radiology and interventional cardiology is important to avoid radiation-induced cataracts. The aim of…”
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Energy-sensitive photon counting detector-based X-ray computed tomography by Taguchi, Katsuyuki

“…Energy-sensitive photon counting detectors (PCDs) have recently been developed for medical X-ray computed tomography (CT) imaging and a handful of prototype…”
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Dynamic chest radiography: flat-panel detector (FPD) based functional X-ray imaging by Tanaka, Rie

“…Dynamic chest radiography is a flat-panel detector (FPD)-based functional X-ray imaging, which is performed as an additional examination in chest radiography…”
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Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs by Nemoto, Takafumi, Futakami, Natsumi, Kunieda, Etsuo, Yagi, Masamichi, Takeda, Atsuya, Akiba, Takeshi, Mutu, Eride, Shigematsu, Naoyuki

“…Deep learning has demonstrated high efficacy for automatic segmentation in contour delineation, which is crucial in radiation therapy planning. However, the…”
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Verification of image quality improvement of low-count bone scintigraphy using deep learning by Murata, Taisuke, Hashimoto, Takuma, Onoguchi, Masahisa, Shibutani, Takayuki, Iimori, Takashi, Sawada, Koichi, Umezawa, Tetsuro, Masuda, Yoshitada, Uno, Takashi

“…To improve image quality for low-count bone scintigraphy using deep learning and evaluate their clinical applicability. Six hundred patients (training, 500;…”
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Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edge by Nishitani, Yuya, Nakayama, Ryohei, Hayashi, Daisei, Hizukuri, Akiyoshi, Murata, Kan

“…Panoramic dental X-ray imaging is an established method for the diagnosis of dental problems. However, the resolution of panoramic dental X-ray images is…”
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Investigation of the nuclear radiation interaction parameters of selected polymers for radiation therapy and dosimetry by Hiremath, G. B., Singh, V. P., Ayachit, N. H., Badiger, N. M.

“…The mass attenuation coefficient (MAC), effective atomic number ( Z eff ), equivalent atomic number ( Z eq ), fast neutron removal cross-section (FNRCS),…”
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Photon counting detectors and their applications ranging from particle physics experiments to environmental radiation monitoring and medical imaging by Ota, Ryosuke

“…Photomultiplier tubes (PMTs) and silicon photomultipliers (SiPMs) have played essential roles in various applications, such as fundamental particle physics…”
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Joint segmentation of sternocleidomastoid and skeletal muscles in computed tomography images using a multiclass learning approach by Ashino, Kosuke, Kamiya, Naoki, Zhou, Xiangrong, Kato, Hiroki, Hara, Takeshi, Fujita, Hiroshi

“…Deep-learning-based methods can improve robustness against individual variations in computed tomography (CT) images of the sternocleidomastoid muscle, which is…”
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Evaluation of dose distributions and respiratory motion tolerance for layer-stacking conformal carbon-ion radiotherapy by Hasebe, Yuki, Tashiro, Mutsumi, Sakurai, Hiroshi

“…While layer-stacking irradiation provides a conformal dose distribution, it is vulnerable to respiratory motion. Considering that the motion tolerance has not…”
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Quantification of uncertainties in reference and relative dose measurements, dose calculations, and patient setup in modern external beam radiotherapy by Kinoshita, Naoki, Shimizu, Morihito, Motegi, Kana, Tsuruta, Yusuke, Takakura, Toru, Oguchi, Hiroshi, Kurokawa, Chie

“…Uncertainties in the steps of external beam radiotherapy (EBRT) affect patient outcomes. However, few studies have investigated major contributors to these…”
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