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Akila Kumarasiri

Explore the profile of Akila Kumarasiri including associated specialties, affiliations and a list of published articles. Areas
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Recent Articles
1.
Kumarasiri A, Chetty I, Devpura S, Pradhan D, Aref I, Elshaikh M, et al.
J Appl Clin Med Phys . 2023 Nov; 25(3):e14198. PMID: 37952248
Objectives: To investigate the impact of reducing Clinical Target Volume (CTV) to Planning Target Volume (PTV) margins on delivered radiation therapy (RT) dose and patient reported quality-of-life (QOL) for patients...
2.
Mao W, Liu C, Gardner S, Elshaikh M, Aref I, Lee J, et al.
J Appl Clin Med Phys . 2021 Aug; 22(9):37-48. PMID: 34378308
Purpose: We performed quantitative analysis of differences in deformable image registration (DIR) and deformable dose accumulation (DDA) computed on CBCT datasets reconstructed using the standard (Feldkamp-Davis-Kress: FDK_CBCT) and a novel...
3.
Mao W, Liu C, Gardner S, Siddiqui F, Snyder K, Kumarasiri A, et al.
Technol Cancer Res Treat . 2019 Feb; 18:1533033818823054. PMID: 30803367
Purpose: We have quantitatively evaluated the image quality of a new commercially available iterative cone-beam computed tomography reconstruction algorithm over standard cone-beam computed tomography image reconstruction results. Methods: This iterative...
4.
Wen N, Kim J, Doemer A, Glide-Hurst C, Chetty I, Liu C, et al.
Radiother Oncol . 2018 May; 127(3):460-466. PMID: 29807837
Introduction: The purpose of this study was to investigate the systematic localization accuracy, treatment planning capability, and delivery accuracy of an integrated magnetic resonance imaging guided Linear Accelerator (MR-Linac) platform...
5.
Liu C, Kim J, Kumarasiri A, Mayyas E, Brown S, Wen N, et al.
Comput Methods Programs Biomed . 2017 Dec; 154:1-8. PMID: 29249335
Background And Objective: The implementation of adaptive radiation therapy (ART) into routine clinical practice is technically challenging and requires significant resources to perform and validate each process step. The objective...
6.
Kumarasiri A, Liu C, Kamal M, Fraser C, Brown S, Chetty I, et al.
J Cancer Res Ther . 2017 Jun; 13(2):218-223. PMID: 28643737
Objective: The objective of this study was to evaluate the anatomical changes and associated dosimetric consequences to pharyngeal constrictor muscles (PCMs) that occur during head and neck (H and N)...
7.
Chetvertkov M, Siddiqui F, Kim J, Chetty I, Kumarasiri A, Liu C, et al.
Med Phys . 2016 Oct; 43(10):5307. PMID: 27782712
Purpose: To develop standard (SPCA) and regularized (RPCA) principal component analysis models of anatomical changes from daily cone beam CTs (CBCTs) of head and neck (H&N) patients and assess their...
8.
Kumarasiri A, Liu C, Siddiqui F, Zhong H, Chetty I, Kim J
Pract Radiat Oncol . 2015 Mar; 5(4):e317-25. PMID: 25752720
Purpose: To estimate the delivered dose to targets and organs at risk for head and neck radiation therapy by accumulating the dose using 3 deformable image registration (DIR) algorithms. Methods...
9.
Kumarasiri A, Siddiqui F, Liu C, Yechieli R, Shah M, Pradhan D, et al.
Med Phys . 2014 Dec; 41(12):121712. PMID: 25471959
Purpose: To evaluate the clinical potential of deformable image registration (DIR)-based automatic propagation of physician-drawn contours from a planning CT to midtreatment CT images for head and neck (H&N) adaptive...
10.
Wen N, Kumarasiri A, Nurushev T, Burmeister J, Xing L, Liu D, et al.
Phys Med Biol . 2013 Oct; 58(21):7733-44. PMID: 24140847
The purpose of this work is to present the results of a margin reduction study involving dosimetric and radiobiologic assessment of cumulative dose distributions, computed using an image guided adaptive...