Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans

Mahmood, Usman; Bates, ‬David D. B.; Erdi, Yusuf E.; Mannelli, Lorenzo; Corrias, Giuseppe; Kanan, Christopher

doi:10.3390/diagnostics12030672

Cited by 3 publications

(1 citation statement)

References 54 publications

(84 reference statements)

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“…Most studies only focus on evaluating the hot contrast sphere and background variability for SPECT images [14,15]. Nonetheless, a lack of studies has the effect of the number of iterations and subsets on image distortion during the reconstruction process [16,17]. Therefore, this study will focus on the effect of using iteration number and subset on distortion volume segmentation Astonish reconstruction method.…”

Section: Introductionmentioning

confidence: 99%

Impact on Reconstruction SPECT Image Distortion by Iteration and Subset Number

Mohd Akmal Masud,

Mohd Zamani Ngali,

Siti Amira Othman

et al. 2023

ARASET

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Iterative reconstruction on Single Photon Emission Computed Tomography (SPECT) imaging has recently been commercially available, resulting in reconstructed images with lower noise levels and better spatial resolution. The reconstruction variables employed and chosen under these suggestions include post-filtering, as well as several iterations and subset numbers. However, most of the number of iterations and subsets will give distortion to the segmentation image on a volume to be segmented. For this purpose, this paper will compare the effect of distortion on the dice similarity coefficient of volume segmentation for the iterative reconstruction setting by default as practice. The best outcome with the smallest root-mean-square deviation, highest percentage contrast values, and highest dice similarity coefficient) for all iterations and subsets is in iteration 6 subset 16. Here, the root-mean-square deviation is 8.06. Moreover, the four most enormous spheres can be calculated from the six spheres filled. The best contrast percentage is in subset 32, but the background variability for that subset is exceptionally high, which is 64.5. With post-filtering implementation, the scatter-corrected slices show the most enhanced image resolution and contrast when using advanced Astonish reconstruction algorithms. The user must decide if noise reduction via post-filtering or increased image resolution is more suitable for a certain imaging process.

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Section: Introductionmentioning

confidence: 99%

Impact on Reconstruction SPECT Image Distortion by Iteration and Subset Number

Mohd Akmal Masud,

Mohd Zamani Ngali,

Siti Amira Othman

et al. 2023

ARASET

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CT‐based synthetic iodine map generation using conditional denoising diffusion probabilistic model

Gao,

Xie,

Chang

et al. 2024

Medical Physics

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BackgroundIodine maps, derived from image‐processing of contrast‐enhanced dual‐energy computed tomography (DECT) scans, highlight the differences in tissue iodine intake. It finds multiple applications in radiology, including vascular imaging, pulmonary evaluation, kidney assessment, and cancer diagnosis. In radiation oncology, it can contribute to designing more accurate and personalized treatment plans. However, DECT scanners are not commonly available in radiation therapy centers. Additionally, the use of iodine contrast agents is not suitable for all patients, especially those allergic to iodine agents, posing further limitations to the accessibility of this technology.PurposeThe purpose of this work is to generate synthetic iodine map images from non‐contrast single‐energy CT (SECT) images using conditional denoising diffusion probabilistic model (DDPM).MethodsOne‐hundered twenty‐six head‐and‐neck patients’ images were retrospectively investigated in this work. Each patient underwent non‐contrast SECT and contrast DECT scans. Ground truth iodine maps were generated from contrast DECT scans using commercial software syngo.via installed in the clinic. A conditional DDPM was implemented in this work to synthesize iodine maps. Three‐fold cross‐validation was conducted, with each iteration selecting the data from 42 patients as the test dataset and the remainder as the training dataset. Pixel‐to‐pixel generative adversarial network (GAN) and CycleGAN served as reference methods for evaluating the proposed DDPM method.ResultsThe accuracy of the proposed DDPM was evaluated using three quantitative metrics: mean absolute error (MAE) (1.039 ± 0.345 mg/mL), structural similarity index measure (SSIM) (0.89 ± 0.10) and peak signal‐to‐noise ratio (PSNR) (25.4 ± 3.5 db) respectively. Compared to the reference methods, the proposed technique showcased superior performance across the evaluated metrics, further validated by the paired two‐tailed t‐tests.ConclusionThe proposed conditional DDPM framework has demonstrated the feasibility of generating synthetic iodine map images from non‐contrast SECT images. This method presents a potential clinical application, which is providing accurate iodine contrast map in instances where only non‐contrast SECT is accessible.

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A Review and Case Study of 3D Imaging Modalities for Female Amniote Reproductive Anatomy

Clear

Grant

Carroll

et al. 2022

Integrative and Comparative Biology

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Recent advances in non-invasive imaging methods have revitalised the field of comparative anatomy, and reproductive anatomy has been no exception. The reproductive systems of female amniotes present specific challenges, namely their often internal “hidden” anatomy. Quantifying female reproductive systems is crucial to recognising reproductive pathologies, monitoring menstrual cycles, and understanding copulatory mechanics. Here we conduct a review of the application of non-invasive imaging techniques to female amniote reproductive anatomy. We introduce the commonly used imaging modalities of computed tomography (CT) and magnetic resonance imaging (MRI), highlighting their advantages and limitations when applied to female reproductive tissues, and make suggestions for future advances. We also include a case study of micro CT and MRI, along with their associated staining protocols, applied to cadavers of female adult stoats (Mustela erminea). In doing so, we will progress the discussion surrounding the imaging of female reproductive anatomy, whilst also impacting the fields of sexual selection research and comparative anatomy more broadly.

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Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans

Cited by 3 publications

References 54 publications

Impact on Reconstruction SPECT Image Distortion by Iteration and Subset Number

Impact on Reconstruction SPECT Image Distortion by Iteration and Subset Number

CT‐based synthetic iodine map generation using conditional denoising diffusion probabilistic model

A Review and Case Study of 3D Imaging Modalities for Female Amniote Reproductive Anatomy

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