119p Tumor Movements Detected by Multi-Slice Ct-Based Image Fusion in the Radiotherapy of Lung Cancer

Kovacs, A.; Hadjiev, Janaki; Lakosi, Ferenc; Antal, Gergely; Liposits, Gábor; Bogner, Péter

doi:10.1016/s0169-5002(09)70242-9

Cited by 3 publications

(4 citation statements)

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“…There are several application areas where CT images are considered the prime modality. some of these major applications are the following: (1) head and neck cancer diagnosis [219,192,220,221,222,199], (2) cancer treatment [51,223], (3) image segmentation and integration [51,216], (4) lung cancer treatment [224,225,182,226,227,228,229,230,231,232], (5) prostate cancer treatment [148,233,234,150,235,151,154,155,156,236,237,157,158,238,159,239,160,216,128,240,164,241,165,167,168,242,133], (6) 3D conformal radiation therapy…”

Section: Computerized Tomographymentioning

confidence: 99%

“…The ability to distinguish a damaged tissue, cancerous tissue and a healthy tissue is not an easy task in early diagnosis. Image fusion techniques have been shown to improve the diagnostic performance and screening, and especially improve the clinical monitoring outcomes [224,225,182,226,227,229,256,230,231,272,232,317]. Example of medical image analysis on lungs includes localization study on potentially operable non-small cell lung cancer [225] and dosimetric planning for nonsmall-cell lung cancer [317].…”

Section: Lungsmentioning

confidence: 99%

“…Example of medical image analysis on lungs includes localization study on potentially operable non-small cell lung cancer [225] and dosimetric planning for nonsmall-cell lung cancer [317]. There exists several modalities that is applied in lungs studies such as SPECT [224], PET-CT [275], FDG-PET [318], CT [224,225,182,226,227,229,256,230,231,232], PET [225,226,229,256,272] and FDG [226,227,229,272].…”

Section: Lungsmentioning

confidence: 99%

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Medical image fusion: A survey of the state of the art

2014

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Medical image fusion is the process of registering and combining multiple images from single or multiple imaging modalities to improve the imaging quality and reduce randomness and redundancy in order to increase the clinical applicability of medical images for diagnosis and assessment of medical problems. Multi-modal medical image fusion algorithms and devices have shown notable achievements in improving clinical accuracy of decisions based on medical images. This review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion. We characterize the medical image fusion research based on (1) the widely used image fusion methods, (2) imaging modalities, and (3) imaging of organs that are under study. This review concludes that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years.

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Section: Computerized Tomographymentioning

confidence: 99%

Section: Lungsmentioning

confidence: 99%

Section: Lungsmentioning

confidence: 99%

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Medical image fusion: A survey of the state of the art

2014

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“…The incidence of prostate and lung cancer has increased dramatically since the middle of the millennium. The constantly evolving technology allows for a maximum eff ectiveness of oncology treatments relative to the potential of the workplace and the patient's health status (16,17). In addition to the oncologists working in the oncology patient care unit, radiographers play a key role in the implementation of these treatments.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Family and Workplace Characteristics on the Burnout Level of Radiographers Working in Oncology Patient Care

Pandur

Cseh

Tollár

et al. 2020

MIRTJ

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Purpose: The aim of our study was to explore the burnout rate of radiographers working in oncology patient care. Materials and methods: Our cross-sectional, targeted non-random sampled research was carried out from June 2018 to September 2018. We used the Maslach Burnout Inventory supplemented with our own questionnaire for online data collection. In addition to demographic aspects, we collected data about job characteristics to examine predictors of burnout. Statistical analysis was performed using descriptive statistics, two-sampled t-test, analysis of variance, Mann-Whitney test and Kruskal-Wallis test were used at 95% confidence level (p=0.05). Results: We analyzed the data of 72 radiographers working in oncology patient care (n=72) and 332 radiographers working in other fields of patient care (n=332). Radiographers working in oncology patient care were characterized by a significantly increased value of emotional exhaustion (p=0.001). Respondents who were single, provided monthly on-call duty and held university degree showed depersonalization (p=0.001). The presence of a secondary job, working more than 40 hours of work per week and active participation in on-call duty services had a negative effect on emotional exhaustion (p=0.001). Respondents with more than one child in their household showed a significantly better value of personal accomplishment (p=0.001). The subjective assessesment of poor financial status had negative effect on all three dimensions of burnout (p=0.001). Conclusion: The mean values of the emotional exhaustion of radiograhers working in oncology patient care increased significantly. The observed elevated value of personal accomplishment shows a sign of positive feedback coming from the patients towards the radiographer.

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Information fusion in the realm of medical applications – A bibliographic glimpse at its growing appeal

Dasarathy¹

2012

Information Fusion

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119p Tumor Movements Detected by Multi-Slice Ct-Based Image Fusion in the Radiotherapy of Lung Cancer

Cited by 3 publications

References 0 publications

Medical image fusion: A survey of the state of the art

Medical image fusion: A survey of the state of the art

The Effect of Family and Workplace Characteristics on the Burnout Level of Radiographers Working in Oncology Patient Care

Information fusion in the realm of medical applications – A bibliographic glimpse at its growing appeal

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