Výsledky vyhledávání - "Chandran, M."

Akademický článek

Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine [version 2; peer review: 2 approved, 1 approved with reservations]

Autor: Priya P S, Kaushik Nayak, Abhijit Shirlal, Saikiran Pendem, Obhuli Chandran M, Anushree Goswami, Krishnaraj Chadaga, Niranjana Sampathilla, Ali Muhaimil

Publikováno v: F1000Research, Vol 13 (2024)

Background Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying an

Externí odkaz: https://doaj.org/article/9ccfe1c39eb6446bac8373cb87cba120

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Akademický článek

Comparison of image quality between Deep learning image reconstruction and Iterative reconstruction technique for CT Brain- a pilot study [version 1; peer review: 2 approved]

Autor: Cijo Chacko, Priya P S, Priyanka ,, Obhuli Chandran M, Saikiran Pendem, Rajagopal Kadavigere

Publikováno v: F1000Research, Vol 13 (2024)

Background Non-contrast Computed Tomography (NCCT) plays a pivotal role in assessing central nervous system disorders and is a crucial diagnostic method. Iterative reconstruction (IR) methods have enhanced image quality (IQ) but may result in a blotc

Externí odkaz: https://doaj.org/article/67a2e7c0dacf4302940ad140e19d2882

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Akademický článek

Impact of artificial intelligence assisted compressed sensing technique on scan time and image quality in musculoskeletal MRI – A systematic review

Autor: Priyanka, Kadavigere, R., Nayak S, S., Chandran M, O., Shirlal, A., Pires, T., Pendem, S.

Publikováno v: In Radiography October 2024 30(6):1704-1712

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Akademický článek

Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back projection for head and chest computed tomography examinations: a systematic review [version 1; peer review: 2 approved]

Autor: Priyanka, Cijo Chacko, Priya P S, Saikiran Pendem, Obhuli Chandran M, Rajagopal Kadavigere

Publikováno v: F1000Research, Vol 13 (2024)

Background The most recent advances in Computed Tomography (CT) image reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to drawbacks in Iterative reconstruction (IR) techniques such as negative image texture and

Externí odkaz: https://doaj.org/article/128303175f714159a5c5a2966c0a86c1

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