Search results for "Gamma knife"

showing 8 items of 8 documents

A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning

2017

The aim of this study is to combine Biological Target Volume (BTV) segmentation and Gross Target Volume (GTV) segmentation in stereotactic neurosurgery.Our goal is to enhance Clinical Target Volume (CTV) definition, including metabolic and morphologic information, for treatment planning and patient follow-up.We propose a fully automatic approach for multimodal PET and MR image segmentation. This method is based on the Random Walker (RW) and Fuzzy C-Means clustering (FCM) algorithms. A total of 19 brain metastatic tumors, undergone stereotactic neuro-radiosurgery, were retrospectively analyzed. A framework for the evaluation of multimodal PET/MRI segmentation is presented, considering volume…

Radiotherapy PlanningBrain tumorHealth Informatics02 engineering and technologyFuzzy C-means clusteringRadiosurgeryBrain tumorsMultimodal ImagingING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI030218 nuclear medicine & medical imaging03 medical and health sciencesComputer-Assisted0302 clinical medicineRandom walker algorithm0202 electrical engineering electronic engineering information engineeringHumansMedicineSegmentationComputer visionRadiation treatment planningCluster analysisImage resolutionPET/MR imagingModality (human–computer interaction)Brain Neoplasmsbusiness.industryRadiotherapy Planning Computer-AssistedINF/01 - INFORMATICAMultimodal therapymedicine.diseaseRandom Walker algorithmMagnetic Resonance ImagingComputer Science ApplicationsBrain tumorGamma knife treatmentPositron-Emission Tomography020201 artificial intelligence & image processingMultimodal image segmentationBrain tumors; Fuzzy C-means clustering; Gamma knife treatments; Multimodal image segmentation; PET/MR imaging; Random Walker algorithm; Brain Neoplasms; Humans; Radiosurgery; Magnetic Resonance Imaging; Multimodal Imaging; Positron-Emission Tomography; Radiotherapy Planning Computer-AssistedArtificial intelligencebusinessGamma knife treatmentsSoftware
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Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering

2015

Nowadays, radiation treatment is beginning to intensively use MRI thanks to its greater ability to discriminate healthy and diseased soft-tissues. Leksell Gamma Knife® is a radio-surgical device, used to treat different brain lesions, which are often inaccessible for conventional surgery, such as benign or malignant tumors. Currently, the target to be treated with radiation therapy is contoured with slice-by-slice manual segmentation on MR datasets. This approach makes the segmentation procedure time consuming and operator-dependent. The repeatability of the tumor boundary delineation may be ensured only by using automatic or semiautomatic methods, supporting clinicians in the treatment pla…

Jaccard indexSimilarity (geometry)Computer scienceScale-space segmentationFuzzy logicunsupervised clusteringmagnetic resonance imagingSegmentationComputer visionmagnetic resonance imag- ingElectrical and Electronic EngineeringCluster analysisRadiation treatment planningSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelbrain tumors; Gamma Knife treatment planning; magnetic resonance imaging; semi-automatic segmentation; unsupervised clusteringbusiness.industrybrain tumors Gamma Knife treatment planning magnetic resonance imaging semi-automatic segmentation unsupervised clusteringElectronic Optical and Magnetic Materialsbrain tumorsComputer Vision and Pattern RecognitionArtificial intelligencebusinesssemi-automatic segmentationSoftwarebrain tumorGamma Knife treatment planning
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Neuro-radiosurgery treatments: MRI brain tumor seeded image segmentation based on a cellular automata model

2016

Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magnetic Resonance Imaging (MRI) is the most promi-nent modality in radiation therapy for soft-tissue anatomical districts. Gamma Knife stereotactic neuro-radiosurgery is a mini-invasive technique used to deal with inaccessible or insufficiently treated tumors. During the planning phase, the GTV is usually contoured by radiation oncologists using a manual segmentation procedure on MR images. This methodology is certainly time-consuming and op-erator-dependent. Delineation result repeatability, in terms of both intra- and inter-operator reliability, is only obtained by using computer-assisted appr…

medicine.medical_specialtyComputer sciencemedicine.medical_treatment02 engineering and technologyCellular AutomataBrain tumors; Cellular automata; Gamma knife treatments; MR imaging; Semi-automatic segmentationBrain tumorsRadiosurgery030218 nuclear medicine & medical imagingTheoretical Computer Science03 medical and health sciences0302 clinical medicineGamma Knife treatments0202 electrical engineering electronic engineering information engineeringmedicineSegmentationMri brainModality (human–computer interaction)medicine.diagnostic_testSemi-automatic segmentationbusiness.industryINF/01 - INFORMATICAMagnetic resonance imagingImage segmentationCellular automatonRadiation therapyBrain tumor020201 artificial intelligence & image processingGamma Knife treatmentArtificial intelligenceRadiologybusinessMR imaging
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A fully automatic method for biological target volume segmentation of brain metastases

2016

Leksell Gamma Knife is a mini-invasive technique to obtain a complete destruction of cerebral lesions delivering a single high dose radiation beam. Positron Emission Tomography (PET) imaging is increasingly utilized for radiation treatment planning. Nevertheless, lesion volume delineation in PET datasets is challenging because of the low spatial resolution and high noise level of PET images. Nowadays, the biological target volume (BTV) is manually contoured on PET studies. This procedure is time expensive and operator-dependent. In this article, a fully automatic algorithm for the BTV delineation based on random walks (RW) on graphs is proposed. The results are compared with the outcomes of…

gamma knifePET imagingcerebral tumors segmentation030218 nuclear medicine & medical imagingrandom walk03 medical and health sciences0302 clinical medicinemedicineSegmentationElectrical and Electronic EngineeringRadiation treatment planningCluster analysisImage resolution1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryElectronic Optical and Magnetic Materialbiological target volumePattern recognitionThresholdingElectronic Optical and Magnetic MaterialsRegion growingPositron emission tomography030220 oncology & carcinogenesisbiological target volume cerebral tumors segmentation gamma knife PET imaging random walkComputer Vision and Pattern RecognitionArtificial intelligenceNuclear medicinebusinessSoftwareVolume (compression)International Journal of Imaging Systems and Technology
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An automatic method for metabolic evaluation of gamma knife treatments

2015

Lesion volume delineation of Positron Emission Tomography images is challenging because of the low spatial resolution and high noise level. Aim of this work is the development of an operator independent segmentation method of metabolic images. For this purpose, an algorithm for the biological tumor volume delineation based on random walks on graphs has been used. Twenty-four cerebral tumors are segmented to evaluate the functional follow-up after Gamma Knife radiotherapy treatment. Experimental results show that the segmentation algorithm is accurate and has real-time performance. In addition, it can reflect metabolic changes useful to evaluate radiotherapy response in treated patients.

medicine.diagnostic_testComputer sciencebusiness.industrymedicine.medical_treatmentComputer Science (all)PET imagingPattern recognitionLesion volumeRandom walkGamma knifeTheoretical Computer ScienceRadiation therapyBiological target volumeSegmentationBiological target volume Gamma Knife treatment PET imaging Random walk SegmentationPositron emission tomographymedicineSegmentationRadiotherapy treatmentGamma Knife treatmentArtificial intelligenceNoise levelbusinessImage resolution
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Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique

2016

MR Imaging is being increasingly used in radiation treatment planning as well as for staging and assessing tumor response. Leksell Gamma Knife (R) is a device for stereotactic neuro-radiosurgery to deal with inaccessible or insufficiently treated lesions with traditional surgery or radiotherapy. The target to be treated with radiation beams is currently contoured through slice-by-slice manual segmentation on MR images. This procedure is time consuming and operator-dependent. Segmentation result repeatability may be ensured only by using automatic/semi-automatic methods with the clinicians supporting the planning phase. In this paper a semi-automatic segmentation method, based on an unsuperv…

Computer scienceGamma knifeBrain lesions Gamma knife treatments MR imaging Semi-automatic segmentation Unsupervised FCM clusteringFuzzy logicBrain lesions; Gamma knife treatments; MR imaging; Semi-automatic segmentation; Unsupervised FCM clustering030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineComputer visionSegmentationRadiation treatment planningCluster analysisSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSemi-automatic segmentationBrain lesionsbusiness.industryMr imagingUnsupervised FCM clusteringBrain lesionGamma knife treatmentBrain lesionsSemi automaticArtificial intelligencebusinessGamma knife treatments030217 neurology & neurosurgeryMR imaging
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68 ga-dotatoc pet/ct follow up after single or hypofractionated gamma knife icon radiosurgery for meningioma patients

2021

68Ga-DOTATOC represents a useful tool in tumor contouring for radiosurgery planning. We present a case series of patients affected by meningiomas on who we performed 68Ga-DOTATOC positron emission tomography (PET)/CT pre-operatively, a subgroup of which also underwent a post-operative 68Ga-DOTATOC PET/CT to evaluate the standardized uptake value (SUV) modification after Gamma Knife ICON treatment in single or hypofractionated fractions. Twenty patients were enrolled/included in this study: ten females and ten males. The median age was 52 years (range 33–80). The median tumor diameter was 3.68 cm (range 0.12–22.26 cm), and the median pre-radiotherapy maximum SUV value was 11 (range 2.3–92). …

medicine.medical_treatmentStandardized uptake valueGalliumGamma knifeRadiosurgeryRadiosurgeryArticlelcsh:RC321-57168ga dotatocMeningioma03 medical and health sciences<sup>68</sup>Ga-DOTATOC PET/CT0302 clinical medicinemedicinelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryPET-CTContouringmedicine.diagnostic_testbusiness.industryGamma KnifeGeneral NeuroscienceFollow upmedicine.diseasePositron emission tomography030220 oncology & carcinogenesisNuclear medicinebusiness68Ga-DOTATOC PET/CTMeningiomaHypofractionated030217 neurology & neurosurgery
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GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model

2018

Despite of the development of advanced segmentation techniques, achieving accurate and reproducible gross tumor volume (GTV) segmentation results is still an important challenge in neuro-radiosurgery. Nowadays, magnetic resonance imaging (MRI) is the most prominent modality in radiation therapy for soft-tissue anatomical districts. Gamma Knife stereotactic neuro-radiosurgery is a minimally invasive technology for dealing with inaccessible or insufficiently treated tumors with traditional surgery or radiotherapy. During a treatment planning phase, the GTV is generally contoured by experienced neurosurgeons and radiation oncologists using fully manual segmentation procedures on MR images. Unf…

Cellular automataBrain cancersING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICABrain cancers; Cellular automata; Computer-assisted segmentation; Gamma Knife neuro-radiosurgery; MR imagingComputer sciencemedicine.medical_treatment02 engineering and technologyBrain cancerRadiosurgeryING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineSegmentationRadiation treatment planningModality (human–computer interaction)medicine.diagnostic_testbusiness.industryComputer Science ApplicationComputer-assisted segmentationINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionGamma Knife neuro-radiosurgeryComputer Science Applications1707 Computer Vision and Pattern RecognitionImage segmentationCellular automatonComputer Science ApplicationsRadiation therapy020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessMR imaging
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