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Popat M, Patel S. Research perspective and review towards brain tumour segmentation and classification using different image modalities. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING: IMAGING & VISUALIZATION 2022. [DOI: 10.1080/21681163.2022.2124546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mayuri Popat
- U & P.U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science and Technology (CHARUSAT), Gujarat, India
| | - Sanskruti Patel
- Smt. Chandaben Mohanbhai Patel Institute of Computer Applications (CMPICA), Charotar University of Science and Technology (CHARUSAT), Gujarat, India
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An enhanced random walk algorithm for delineation of head and neck cancers in PET studies. Med Biol Eng Comput 2016; 55:897-908. [PMID: 27638108 DOI: 10.1007/s11517-016-1571-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 09/07/2016] [Indexed: 01/09/2023]
Abstract
An algorithm for delineating complex head and neck cancers in positron emission tomography (PET) images is presented in this article. An enhanced random walk (RW) algorithm with automatic seed detection is proposed and used to make the segmentation process feasible in the event of inhomogeneous lesions with bifurcations. In addition, an adaptive probability threshold and a k-means based clustering technique have been integrated in the proposed enhanced RW algorithm. The new threshold is capable of following the intensity changes between adjacent slices along the whole cancer volume, leading to an operator-independent algorithm. Validation experiments were first conducted on phantom studies: High Dice similarity coefficients, high true positive volume fractions, and low Hausdorff distance confirm the accuracy of the proposed method. Subsequently, forty head and neck lesions were segmented in order to evaluate the clinical feasibility of the proposed approach against the most common segmentation algorithms. Experimental results show that the proposed algorithm is more accurate and robust than the most common algorithms in the literature. Finally, the proposed method also shows real-time performance, addressing the physician's requirements in a radiotherapy environment.
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Mocciaro V, Scollo P, Stefano A, Gieri S, Russo G, Scibilia G, Cosentino S, Murè G, Baldari S, Sabini MG, Fraggetta F, Gilardi MC, Ippolito M. Correlation between histological grade and positron emission tomography parameters in cervical carcinoma. Oncol Lett 2016; 12:1408-1414. [PMID: 27446445 PMCID: PMC4950245 DOI: 10.3892/ol.2016.4771] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 05/12/2016] [Indexed: 01/23/2023] Open
Abstract
The aim of the present study was to evaluate the changes in cervical cancer glucose metabolism for different levels of cellular differentiation. The metabolic activity was measured by standardized uptake value (SUV), SUV normalized to lean body mass, metabolic tumor volume and total lesion glycolysis using fluorine-18 fluorodeoxyglucose positron emission tomography (PET). A correlation study of these values could be used to facilitate therapeutic choice and to improve clinical practice and outcome. This study considered 32 patients with diagnosed cervical cancers, at different International Federation of Gynecology and Obstetrics stages. Glucose metabolism was assessed by PET examination, and histological specimens were examined to determine their initial grade of differentiation. A correlation study of these values was evaluated. Histological examination showed that all cases were of squamous cell carcinoma. Regarding the differentiation of the tumor, 19 well- to moderately-differentiated tumors and 13 poorly-differentiated tumors were determined. Negative findings for correlations between metabolic parameters and initial grade of histological differentiation were found, and considering that histological grade has been shown to have no consistent prognostic value in cervical cancer treatment, PET imaging could play a significant role in cervical cancer prognosis.
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Affiliation(s)
- Vanessa Mocciaro
- Institute of Molecular Bioimaging and Physiology, National Research Council, Cefalù, I-90015 Palermo, Italy
| | - Paolo Scollo
- Department of Gynecology, Cannizzaro Hospital, I-95126 Catania, Italy
| | - Alessandro Stefano
- Institute of Molecular Bioimaging and Physiology, National Research Council, Cefalù, I-90015 Palermo, Italy
| | - Stefania Gieri
- Institute of Molecular Bioimaging and Physiology, National Research Council, Cefalù, I-90015 Palermo, Italy
| | - Giorgio Russo
- Institute of Molecular Bioimaging and Physiology, National Research Council, Cefalù, I-90015 Palermo, Italy
| | - Giuseppe Scibilia
- Department of Gynecology, Cannizzaro Hospital, I-95126 Catania, Italy
| | | | - Gabriella Murè
- Department of Nuclear Medicine, Cannizzaro Hospital, I-95126 Catania, Italy
| | - Sara Baldari
- Department of Nuclear Medicine, Cannizzaro Hospital, I-95126 Catania, Italy
| | | | | | - Maria Carla Gilardi
- Institute of Molecular Bioimaging and Physiology, National Research Council, Cefalù, I-90015 Palermo, Italy
| | - Massimo Ippolito
- Department of Nuclear Medicine, Cannizzaro Hospital, I-95126 Catania, Italy
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Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique. ACTA ACUST UNITED AC 2016. [DOI: 10.1007/978-3-319-33747-0_2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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