Graded Image Generation Using Stratified CycleGAN

Liu, Jianfei; Li, Joanne; Liu, Tao; Tam, Johnny

doi:10.1007/978-3-030-59713-9_73

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…It can not only provide images of tissue and cell metabolism, proliferation, blood supply, hypoxic state, and even gene phenotype, but also provide early diagnosis of tumors, analysis of tumor process, follow-up, and prediction of curative effect, making it a reality to study the changes of microenvironment in vivo and understand the development of tumors non-invasively. Molecular biology and clinical medicine have lacking a "bridge", but functional imaging technology can organically connect this gap (14)(15)(16).…”

Section: Original Articlementioning

confidence: 99%

Study on the value of multi-dimensional conformal radiotherapy and functional imaging in tumor bioimaging

Huang¹,

He²,

Xiong³

et al. 2022

Transl Cancer Res TCR

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Background: To explore the diagnostic and therapeutic effects of multi-dimensional conformal radiotherapy (MD-CRT) combined with functional imaging in tumor bioimaging.Methods: A total of 150 cases of patients with brain metastases in First Affiliated Hospital of Xi'an Jiaotong University between December 2020 and December 2021 were retrospectively selected as the research cohort. Participants underwent whole brain imaging guided by MD-CRT combined with volume assessment to assess the patient's recent treatment effect, statistically acceptable dose irradiation treatment, and the incidence of adverse reactions. All patients were followed up to evaluate the long-term efficacy.Results: Among the 150 patients, 24 cases were in complete remission, 72 cases were in partial remission, 36 cases were in a stable condition, 18 cases were in deterioration, and the treatment of 96 cases (64.00%) was deemed effective. All participants were followed up, the mean survival was (62.37±1.24) months, 96 cases (64.00%) survived, and 54 cases (36.00%) had died. The average dose was (62.09±3.94) Gy. In terms of adverse reactions: brain edema occurred in 57 patients, accounting for 38.00%. Conclusions:The MD-CRT and functional imaging techniques for patients with metastatic tumor have high therapeutic accuracy, are associated with improved local control rate, prolonged survival, and cause little damage to normal tissues, with significant therapeutic effect, and can be widely used in clinical practice.

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Section: Original Articlementioning

confidence: 99%

Study on the value of multi-dimensional conformal radiotherapy and functional imaging in tumor bioimaging

Huang¹,

He²,

Xiong³

et al. 2022

Transl Cancer Res TCR

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A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification

Shan

Wen

et al. 2021

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

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Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography

Das,

Zhang,

Bower

et al. 2024

Commun Med

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Background In vivo imaging of the human retina using adaptive optics optical coherence tomography (AO-OCT) has transformed medical imaging by enabling visualization of 3D retinal structures at cellular-scale resolution, including the retinal pigment epithelial (RPE) cells, which are essential for maintaining visual function. However, because noise inherent to the imaging process (e.g., speckle) makes it difficult to visualize RPE cells from a single volume acquisition, a large number of 3D volumes are typically averaged to improve contrast, substantially increasing the acquisition duration and reducing the overall imaging throughput. Methods Here, we introduce parallel discriminator generative adversarial network (P-GAN), an artificial intelligence (AI) method designed to recover speckle-obscured cellular features from a single AO-OCT volume, circumventing the need for acquiring a large number of volumes for averaging. The combination of two parallel discriminators in P-GAN provides additional feedback to the generator to more faithfully recover both local and global cellular structures. Imaging data from 8 eyes of 7 participants were used in this study. Results We show that P-GAN not only improves RPE cell contrast by 3.5-fold, but also improves the end-to-end time required to visualize RPE cells by 99-fold, thereby enabling large-scale imaging of cells in the living human eye. RPE cell spacing measured across a large set of AI recovered images from 3 participants were in agreement with expected normative ranges. Conclusions The results demonstrate the potential of AI assisted imaging in overcoming a key limitation of RPE imaging and making it more accessible in a routine clinical setting.

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Graded Image Generation Using Stratified CycleGAN

Cited by 4 publications

References 17 publications

Study on the value of multi-dimensional conformal radiotherapy and functional imaging in tumor bioimaging

Study on the value of multi-dimensional conformal radiotherapy and functional imaging in tumor bioimaging

A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification

Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography

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