Bibliografias temáticas / Medical physics. Medical radiology. Nuclear medicine

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Literatura científica selecionada sobre o tema "Medical physics. Medical radiology. Nuclear medicine"

Autor: Grafiati
Publicado: 29 de julho de 2024
Última modificação: 31 de julho de 2024

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Artigos de revistas sobre o assunto "Medical physics. Medical radiology. Nuclear medicine"

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Zaichick, V., e V. Kolotov. "Nuclear Physics Medical Elementology as a Section of Medical Radiology". MEDICAL RADIOLOGY AND RADIATION SAFETY 69, n.º 2 (abril de 2024): 53–64. http://dx.doi.org/10.33266/1024-6177-2024-69-2-53-64.

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Purpose: Medical elementology and its subsection nuclear physics medical elementology, as the most important areas of biomedical science, are still insufficiently included in the arsenal of medical radiology as a fundamental basis for the development and use of new methods for diagnosing and treating various diseases, including oncological ones. For the successful establishment of nuclear physics medical elementology as a new scientific discipline, it is necessary to develop a clear methodology for its further development. Results: The definition of the subject of research and the main postulates of medical elementology is given. The close interrelation of knowledge about the content and metabolism of chemical elements, as well as their radioactive and stable isotopes, with the needs of medical radiology is shown. The following areas of research are considered: 1) The use of chemical elements, as well as their radioactive and stable isotopes in medicine; 2) Visualization of organs and tissues, as well as in vivo determination of the content of chemical elements in them; 3) Nuclear physical methods for determining chemical elements in samples of tissues and fluids of the human body in solving oncological problems; 4) The role of chemical elements in calculating absorbed doses during radiotherapy; 5) The use of nuclear physical methods in the formation of groups at increased risk of cancer. A range of modern nuclear physics analytical methods acceptable in clinical practice and as an adequate research tool is outlined. The need for the integrated use of nuclear physics analytical technologies to obtain reference values ​​for the content of chemical elements in various organs, tissues and fluids of the human body in normal and various pathological conditions, as well as to organize the strictest quality control of measurements and unify methodological approaches is demonstrated. The modern possibilities of using the achievements of nuclear physics medical elementology in solving the problems of medical radiology are determined and the priorities for the future are outlined. Conclusion: The steady development of nuclear physical methods of chemical elements analysis and their implementation in medicine is constantly expanding the scope of possibilities of medical elementology. The development of this area will certainly make a significant contribution to the future successes of medical radiology.
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Gambo, Nura, e Mustapha Shehu. "The Role of Diagnostic Medical Physics in Medicine: An Overview". Sahel Journal of Life Sciences FUDMA 2, n.º 1 (31 de março de 2024): 103–9. http://dx.doi.org/10.33003/sajols-2024-0201-012.

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This paper provides a thorough overview of the vital role diagnostic medical physicists play in the medical field, focusing on diagnostic radiology. This paper investigates the relationship between medical practices and physics highlights the fundamental role that physics plays in understanding the cosmos and outlines the numerous applications of physics, including medical physics. The paper's main focus is on the many applications of medical physics, especially in diagnostic imaging, which includes nuclear medicine, radiation therapy, MRIs, CT scans, X-rays, and ultrasound. There is an in-depth discussion of specialized fields such as radiation protection, nuclear medicine, diagnostic radiology, and radiotherapy physics. The authors stress the importance of medical physics in the prevention, diagnosis, and treatment of disease, providing new technologies such as Positron-Emission Tomography (PET) that provide insights into structural and biological changes. The article outlines the duties of diagnostic medical physicists, including quality assurance and control as well as equipment evaluation and compliance. The critical role that radiation treatment programs play in preserving patient, staff and public safety is emphasized. The authors discuss how modern radiation therapy is becoming more complex and how important strong protocols are for patient safety. The important role that medical physicists play in guaranteeing the highest standards of medical care is highlighted, along with the European Union's efforts to standardize radiotherapy treatments among its member states. It is recommended that the health care system needs medical physicists to ensure the safety and protection of both patients and medical/ x-ray staff.
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Meghzifene, Ahmed, e George Sgouros. "IAEA Support to Medical Physics in Nuclear Medicine". Seminars in Nuclear Medicine 43, n.º 3 (maio de 2013): 181–87. http://dx.doi.org/10.1053/j.semnuclmed.2012.11.008.

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Mahesh, Mahadevappa. "Medical Physics 3.0". Journal of the American College of Radiology 18, n.º 12 (dezembro de 2021): 1596–97. http://dx.doi.org/10.1016/j.jacr.2021.10.002.

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Rumack, Carol Masters. "American Diagnostic Radiology Residency and Fellowship Programmes". Annals of the Academy of Medicine, Singapore 40, n.º 3 (15 de março de 2011): 126–31. http://dx.doi.org/10.47102/annals-acadmedsg.v40n3p126.

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American Diagnostic Radiology Residency and Fellowship programmes are Graduate Medical Education programmes in the United States (US) equivalent to the Postgraduate Medical Education programmes in Singapore. Accreditation Council for Graduate Medical Education (ACGME) accredited diagnostic radiology residency programmes require 5 years total with Post Graduate Year (PGY) 1 year internship in a clinical specialty, e.g. Internal Medicine following medical school. PGY Years 2 to 5 are the core years which must include Radiology Physics, Radiation Biology and rotations in 9 required subspecialty rotations: Abdominal, Breast, Cardiothoracic, Musculoskeletal, Neuroradiology, Nuclear and Paediatric Radiology, Obstetric & Vascular Ultrasound and Vascular Interventional Radiology. A core curriculum of lectures must be organised by the required 9 core subspecialty faculty. All residents (PGY 2 to 4) take a yearly American College of Radiology Diagnostic In-Training Examination based on national benchmarks of medical knowledge in each subspecialty. Because the American Board of Radiology (ABR) examinations are changing, until 2012, residents have to take 3 ABR examinations: (i) ABR physics examination in the PGY 2 to 3 years, (ii) a written examination at the start of the PGY 5 year and (iii) an oral exam at the end of the PGY 5 year. Beginning in 2013, there will be only 2 examinations: (i) the physics and written examinations after PGY 4 will become a combined core radiology examination. Beginning in 2015, the fi nal certifying examination will be given 15 months after the completion of residency. After residency, ACGME fellowships in PGY 6 are all one-year optional programmes which focus on only one subspecialty discipline. There are 4 ACGME accredited fellowships which have a Board Certifi cation Examination: Neuroradiology, Nuclear, Paediatric and Vascular Interventional Radiology. Some ACGME fellowships do not have a certifying examination: Abdominal, Endovascular Surgical Neuroradiology and Musculoskeletal Radiology. One year unaccredited fellowships can also be taken in Breast, Cardiothoracic or Women’s Imaging. Key words: Accreditation Council for Graduate Medical Education (ACGME) Programmes, American Board of Radiology (ABR) Examinations, Graduate Medical Education
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Samei, Ehsan. "Medical Physics 3.0 and Its Relevance to Radiology". Journal of the American College of Radiology 19, n.º 1 (janeiro de 2022): 13–19. http://dx.doi.org/10.1016/j.jacr.2021.11.003.

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Leuenberger, Ronald, Ryan Kocak, David W. Jordan e Tim George. "Medical Physics". Health Physics 115, n.º 4 (outubro de 2018): 512–22. http://dx.doi.org/10.1097/hp.0000000000000894.

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Rehani, Madan. "[I113] Teaching of medical physics to radiology residents". Physica Medica 52 (agosto de 2018): 44. http://dx.doi.org/10.1016/j.ejmp.2018.06.185.

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Rehani Mcmillan, M. M. "Physics Of Medical Imaging". Journal of Medical Physics 18, n.º 1 (1993): 31. http://dx.doi.org/10.4103/0971-6203.50112.

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Nowotny, R. "Physics for medical imaging". European Journal of Radiology 25, n.º 2 (setembro de 1997): 162–63. http://dx.doi.org/10.1016/s0720-048x(97)00035-1.

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Teses / dissertações sobre o assunto "Medical physics. Medical radiology. Nuclear medicine"

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Marais, Johan. "An investigation into the limitations of myocardial perfusion imaging". Thesis, University of Northampton, 2012. http://nectar.northampton.ac.uk/8874/.

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Sinozic, Tanja. "Learning in clinical practice : findings from CT, MRI and PACS". Thesis, University of Sussex, 2014. http://sro.sussex.ac.uk/id/eprint/49367/.

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This thesis explores learning in clinical practice in the cases of CT, MRI and PACS in UK hospitals. It asks the questions of how and why certain evolutionary features of technology condition learning and change in medical contexts. Using an evolutionary perspective of cognitive and social aspects of technological change, this thesis explores the relationships between technology and organisational learning processes of intuition, interpretation, integration and institutionalisation. Technological regimes are manifested in routines, skills and artefacts, and dynamically evolve with knowledge accumulation processes at the individual, group and organisational levels. Technological change increases the uncertainty and complexity of organisational learning, making organisational outcomes partially unpredictable. Systemic and emergent properties of medical devices such as CT and MRI make learning context-specific and experimental. Negotiation processes between different social groups shape the role and function of an artefact in an organisational context. Technological systems connect artefacts to other parts of society, mediating values, velocity and directionality of change. Practice communities affect how organisations deal with this complexity and learn. These views are used to explore the accumulation of knowledge in clinical practices in CT, MRI and PACS. This thesis develops contextualised theory using a case-study approach to gather novel empirical data from over 40 interviews with clinical, technical, managerial and administrative staff in five NHS hospitals. It uses clinical practice (such as processes, procedures, tasks, rules, interpretations and routines) as a unit of analysis and CT, MRI and PACS technology areas as cases. Results are generalised to evolutionary aspects of technological learning and change provided by the framework, using processes for qualitative analysis such as ordering and coding. When analysed using an evolutionary perspective of technology, the findings in this thesis suggest that learning in clinical practice is diverse, cumulative and incremental, and shaped by complex processes of mediation, by issues such as disease complexity, values, external rules and choice restrictions from different regimes, and by interdisciplinary problem-solving in operational routines.
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Adjeiwaah, Mary. "Quality assurance for magnetic resonance imaging (MRI) in radiotherapy". Licentiate thesis, Umeå universitet, Institutionen för strålningsvetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-142603.

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Magnetic resonance imaging (MRI) utilizes the magnetic properties of tissues to generate image-forming signals. MRI has exquisite soft-tissue contrast and since tumors are mainly soft-tissues, it offers improved delineation of the target volume and nearby organs at risk. The proposed Magnetic Resonance-only Radiotherapy (MR-only RT) work flow allows for the use of MRI as the sole imaging modality in the radiotherapy (RT) treatment planning of cancer. There are, however, issues with geometric distortions inherent with MR image acquisition processes. These distortions result from imperfections in the main magnetic field, nonlinear gradients, as well as field disturbances introduced by the imaged object. In this thesis, we quantified the effect of system related and patient-induced susceptibility geometric distortions on dose distributions for prostate as well as head and neck cancers. Methods to mitigate these distortions were also studied. In Study I, mean worst system related residual distortions of 3.19, 2.52 and 2.08 mm at bandwidths (BW) of 122, 244 and 488 Hz/pixel up to a radial distance of 25 cm from a 3T PET/MR scanner was measured with a large field of view (FoV) phantom. Subsequently, we estimated maximum shifts of 5.8, 2.9 and 1.5 mm due to patient-induced susceptibility distortions. VMAT-optimized treatment plans initially performed on distorted CT (dCT) images and recalculated on real CT datasets resulted in a dose difference of less than 0.5%.  The magnetic susceptibility differences at tissue-metallic,-air and -bone interfaces result in local B0 magnetic field inhomogeneities. The distortion shifts caused by these field inhomogeneities can be reduced by shimming.  Study II aimed to investigate the use of shimming to improve the homogeneity of local  B0 magnetic field which will be beneficial for radiotherapy applications. A shimming simulation based on spherical harmonics modeling was developed. The spinal cord, an organ at risk is surrounded by bone and in close proximity to the lungs may have high susceptibility differences. In this region, mean pixel shifts caused by local B0 field inhomogeneities were reduced from 3.47±1.22 mm to 1.35±0.44 mm and 0.99±0.30 mm using first and second order shimming respectively. This was for a bandwidth of 122 Hz/pixel and an in-plane voxel size of 1×1 mm2.  Also examined in Study II as in Study I was the dosimetric effect of geometric distortions on 21 Head and Neck cancer treatment plans. The dose difference in D50 at the PTV between distorted CT and real CT plans was less than 1.0%. In conclusion, the effect of MR geometric distortions on dose plans was small. Generally, we found patient-induced susceptibility distortions were larger compared with residual system distortions at all delineated structures except the external contour. This information will be relevant when setting margins for treatment volumes and organs at risk.   The current practice of characterizing MR geometric distortions utilizing spatial accuracy phantoms alone may not be enough for an MR-only radiotherapy workflow. Therefore, measures to mitigate patient-induced susceptibility effects in clinical practice such as patient-specific correction algorithms are needed to complement existing distortion reduction methods such as high acquisition bandwidth and shimming.
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Ullman, Gustaf. "Quantifying image quality in diagnostic radiology using simulation of the imaging system and model observers". Doctoral thesis, Linköping : Department of Medicine and Health, Linköping University, 2008. http://www.bibl.liu.se/liupubl/disp/disp2008/med1050s.pdf.

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Sjögren, Adam. "The impact of metallic cranial implants on proton-beam radiotherapy treatment plans for near implant located tumours : A phantom study on the physical effects and agreement between simulated treatment plans and the resulting treatment for near implant located cranial tumours". Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149530.

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Within the field of radiotherapy treatments of tumour diseases, the hunt for more accurate and effective treatment methods is a continuous process. For some years ion-beam based radiotherapy, especially the proton-beam based applications, has increased in popularity and availability. The main reason behind this is the fact that ion-beam based applications make it possible to modulate the dose after the planning target volume (PTV) defined by the radiation oncologist. This means that it becomes possible to spare tissue in another way, which might result in more effective treatments, especially in the vicinity of radio sensitive organs. Ion-beam based treatments are however more sensitive to uncertainties in PTV position and beam range as ion-beams have a fixed range depending on target media and initial energy, as opposed to the conventional x-ray beams that do not really have a defined range. Instead their intensity decreases exponentially at a rate dependent of the initial energy and target media. Therefore density heterogeneities result in uncertainties in the planned treatments. As the plans normally are created using a CT-images, for which metallic implants can yield increased heterogeneities both from the implants themselves and so called metal artifacts (distortions in the images caused by different processes as the X-rays used in image acquisition goes through metals). Metallic implants affects the accuracy of a treatment, and therefore also the related risks, so it is important to have an idea of the magnitude of the impact. Therefore the aim of this study is to estimate the impact on a proton-beam based treatment plan for six cranial implants. These were one Ti-mesh implant, one temporal plate implant, one burr-hole cover implant and three craniofix implants of different sizes, which all are commonly seen at the Skandion clinic. Also the ability of the treatment planning system (TPS), used at the clinic, to simulate the effects on the plans caused by the implants is to be studied. From this result it should be estimated if the margins and practices in place at the clinic, for when it is required to aim the beam through the implant, are sufficient or if they should be changed. This study consisted of one test on the range shift effects and one test on the lateral dose distribution changes, with one preparational test in the form of a calibration of Gafchromic EBT3 films. The range shift test was performed on three of the implants, excluding the three craniofix implants using a water phantom and a treatment plan created to represent a standard treatment in the cranial area. The lateral dose distribution change test was performed as a solid phantom study using radiochromic film, for two treatment plans (one where the PTV was located \SI{2}{\centi\metre} below surface, for all implants, and one where it was located at the surface, only for the Ti-mesh and the temporal plate). The results of both tests were compared to simulations performed in the Eclipse treatment planing system (TPS) available at Skandion. The result of the range shift test showed a maximum range shift of \SI{-1.03 +- 0.01}{\milli\metre}, for the burr-hole cover implant, and as the related Eclipse simulations showed a maximal shift of \SI{-0.17 +- 0.01}{\milli\metre} there was a clear problem with the simulation. However, this might not be because of the TPS but due to errors in the CT-image reconstruction, such as, for example, geometrical errors in the representation of the implants. As the margin applied for a similar situation at the Skandion clinic (in order to correct for several uncertainty factors) is \SI{4.2}{\milli\metre} there might be a need to increase this margin depending on the situation. For the lateral distribution effects no definite results were found as the change varied in magnitude, even if it tended to manifest as a decreasing dose for the first plan and a increasing dose for the second. It was therefore concluded that further studies are needed before anything clear can be said.
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Wang, Yi Zhen 1965. "Photoneutrons and induced activity from medical linear accelerators". Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81453.

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This study involves the measurement of the neutron equivalent dose ( NED) and the induced activity produced from medical linear accelerators. For the NED, various parameters such as the profile, field effects and energy responses were studied. The NED in a Solid Water(TM) phantom was measured and a new quantity, the neutron equivalent dose tissue-air ratio (NTAR), was defined and determined. Neutron production for electron beams was also measured. For the induced activity, comparisons were carried out between different linacs, fields and dose rates. The half life and activation saturation were also studied. A mathematical model of induced activity was developed to explain the experimental results. Room surveys of NED and induced activity were performed in and around a high energy linear accelerator room. Unwanted doses from photoneutrons and induced activity to the high energy linear accelerator radiotherapy staff and patient were estimated.
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Hunter, Morris. "The development of a baccalaureate degree program in medical imaging technology". CSUSB ScholarWorks, 1999. https://scholarworks.lib.csusb.edu/etd-project/1857.

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Kihlberg, Johan. "Magnetic Resonance Imaging of Myocardial Deformation and Scarring in Coronary Artery Disease". Doctoral thesis, Linköpings universitet, Avdelningen för radiologiska vetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143028.

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Although improved treatments have reduced the rates of acute complications from myocardial infarction, sequelae such as heart failure and sudden death threaten the future wellbeing of those patients. Secondary prevention after myocardial infarction is related to cardiovascular risk factors and the effect of the infarct on left ventricular function. Cardiovascular magnetic resonance imaging (CMR) is necessary to determine the size of the infarct scar and can with great precision determine left ventricular volumes, left ventricular ejection fraction, and deformation (strain and torsion). The purpose of this thesis was to improve on CMR methods to facilitate image acquisition and post processing in patients with high risk of coronary artery disease (CAD). In Paper 1, a three-dimensional phase-sensitive inversion-recovery (3D PSIR) sequence was modified to measure T1 during a single breath hold. The measured T1 values were used to extrapolate a map of T1 relaxation, which avoided the time-consuming manual determination of the inversion time. The data collection consisted of phantom experiments, Monte Carlo simulations of the effect of various heart rates, and clinical investigation of 18 patients with myocardial infarction. Scar images created with the modified sequence were compared to those created with the standard sequence. The 3D PSIR sequence was able to measure T1 relaxation with a high accuracy up to 800 ms, which is in the suitable range for scar imaging. Simulated arrhythmias showed that the method was robust and able to tolerate some variation in heart rate. The modified sequence provides measurements of inversion time that can be used to facilitate standard scar imaging or to reconstruct synthetic scar images. Images of infarct scar obtained with the 3D PSIR sequence bore striking similarity to images obtained with the standard sequence. In Paper 2, 125 patients with high risk of CAD were investigated using the displacement encoding with stimulated echoes (DENSE) sequence. Image segments with infarct scar area >50% (transmurality) could be identified with a sensitivity of 95% and a specificity of 80% based on circumferential strain calculated from the DENSE measurements. The DENSE sequence was also applied in other directions, but its sensitivity and specificity to detect scar was lower than when used for circumferential strain. In Paper 3, 90 patients with high risk of CAD were examined by DENSE, tagging with harmonic phase (HARP) imaging and cine imaging with feature tracking (FT), to detect cardiac abnormalities as manifested in end-systolic circumferential strain. Circumferential strain calculated with DENSE had higher sensitivity and specificity than the competing methods to detect infarction with transmurality >50%. Global circumferential strain measured by DENSE correlated better with global parameters such as left ventricular ejection fraction, myocardial wall mass, left ventricular end-diastolic and end-systolic volume; than strain measured by FT or HARP. In Paper 4, myocardial torsion was investigated using DENSE, HARP, and FT in 48 patients with high risk of CAD. Torsion measured by each of the three methods was correlated with other global measures such as left ventricular ejection fraction, left ventricular mass, and left ventricular end-diastolic and end-systolic volumes. The torsion measurements obtained with DENSE had a stronger relationship with left ventricular ejection fraction, left ventricular mass, and volumes than those obtained with HARP or FT. DENSE was superior to the other methods for strain and torsion measurement and can be used to describe myocardial deformation quantitatively and objectively.
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Blystad, Ida. "Clinical Applications of Synthetic MRI of the Brain". Doctoral thesis, Linköpings universitet, Avdelningen för radiologiska vetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143032.

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Magnetic Resonance Imaging (MRI) has a high soft-tissue contrast with a high sensitivity for detecting pathological changes in the brain. Conventional MRI is a time-consuming method with multiple scans that relies on the visual assessment of the neuroradiologist. Synthetic MRI uses one scan to produce conventional images, but also quantitative maps based on relaxometry, that can be used to quantitatively analyse tissue properties and pathological changes. The studies presented here apply the use of synthetic MRI of the brain in different clinical settings. In the first study, synthetic MR images were compared to conventional MR images in 22 patients. The contrast, the contrast-to-noise ratio, and the diagnostic quality were assessed. Image quality was perceived to be inferior in the synthetic images, but synthetic images agreed with the clinical diagnoses to the same extent as the conventional images. Patients with early multiple sclerosis were analysed in the second study. In patients with multiple sclerosis, contrast-enhancing white matter lesions are a sign of active disease and can indicate a need for a change in therapy. Gadolinium-based contrast agents are used to detect active lesions, but concern has been raised regarding the long-term effects of repeated use of gadolinium. In this study, relaxometry was used to evaluate whether pre-contrast injection tissue-relaxation rates and proton density can identify active lesions without gadolinium. The findings suggest that active lesions often have relaxation times and proton density that differ from non-enhancing lesions, but with some overlap. This makes it difficult to replace gadolinium-based contrast agent injection with synthetic MRI in the monitoring of MS patients. Malignant gliomas are primary brain tumours with contrast enhancement due to a defective blood-brain barrier. However, they also grow in an infiltrative, diffuse manner, making it difficult to clearly delineate them from surrounding normal brain tissue in the diagnostic workup, at surgery, and during follow-up. The contrast-enhancing part of the tumour is easily visualised, but not the diffuse infiltration. In studies three and four, synthetic MRI was used to analyse the peritumoral area of malignant gliomas, and revealed quantitative findings regarding peritumoral relaxation changes and non-visible contrast enhancement suggestive of non-visible infiltrative tumour growth. In conclusion, synthetic MRI provides quantitative information about the brain tissue and this could improve the diagnosis and treatment for patients.
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Hellström, Terese. "Deep-learning based prediction model for dose distributions in lung cancer patients". Thesis, Stockholms universitet, Fysikum, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-196891.

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Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. However, to assess the benefit of proton therapy compared to photon therapy, it is necessary to make both treatment plans to get information about the Tumour Control Probability (TCP) and the Normal Tissue Complication Probability (NTCP). This requires excessive treatment planning time and increases the workload for planners.  Aim This project aims to investigate the possibility for automated prediction of the treatment dose distribution using a deep learning network for lung cancer patients treated with photon radiotherapy. This is an initial step towards decreasing the overall planning time and would allow for efficient estimation of the NTCP for each treatment plan and lower the workload of treatment planning technicians. The purpose of the current work was also to understand which features of the input data and training specifics were essential for producing accurate predictions.  Methods Three different deep learning networks were developed to assess the difference in performance based on the complexity of the input for the network. The deep learning models were applied for predictions of the dose distribution of lung cancer treatment and used data from 95 patient treatments. The networks were trained with a U-net architecture using input data from the planning Computed Tomography (CT) and volume contours to produce an output of the dose distribution of the same image size. The network performance was evaluated based on the error of the predicted mean dose to Organs At Risk (OAR) as well as the shape of the predicted Dose-Volume Histogram (DVH) and individual dose distributions.  Results  The optimal input combination was the CT scan and lung, mediastinum envelope and Planning Target Volume (PTV) contours. The model predictions showed a homogenous dose distribution over the PTV with a steep fall-off seen in the DVH. However, the dose distributions had a blurred appearance and the predictions of the doses to the OARs were therefore not as accurate as of the doses to the PTV compared to the manual treatment plans. The performance of the network trained with the Houndsfield Unit input of the CT scan had similar performance as the network trained without it.  Conclusions As one of the novel attempts to assess the potential for a deep learning-based prediction model for the dose distribution based on minimal input, this study shows promising results. To develop this kind of model further a larger data set would be needed and the training method could be expanded as a generative adversarial network or as a more developed U-net network.
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Mais fontes

Livros sobre o assunto "Medical physics. Medical radiology. Nuclear medicine"

1

Bethge, Klaus. Medical Applications of Nuclear Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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2

1953-, Ritenour E. Russell, e Hendee William R, eds. Medical imaging physics. 3a ed. St. Louis: Mosby Year Book, 1992.

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1953-, Ritenour E. Russell, ed. Medical imaging physics. 4a ed. New York: Wiley-Liss, 2002.

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4

D, Webb Steve Ph, ed. The Physics of medical imaging. Bristol: Hilger, 1988.

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5

Powsner, Rachel A. Essentials of nuclear medicine physics. 2a ed. Malden, Mass: Blackwell Pub., 2006.

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6

NATO Advanced Study Institute on "Physics and Engineering of Medical Imaging" (1984 Maratea, Italy). Physics and engineering of medical imaging. Dordrecht: Nijhoff, 1987.

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Scherer, Eberhard. Radiation Exposure and Occupational Risks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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8

Hausser, Karl H. NMR in Medicine and Biology: Structure Determination, Tomography, In Vivo Spectroscopy. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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9

Alessandra, Caner, e SpringerLink (Online service), eds. Molecular Imaging: Computer Reconstruction and Practice. Dordrecht: Springer Science + Business Media B.V, 2008.

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10

National Council on Radiation Protection and Measurements. Meeting. Radiation protection in medicine: Comtemporary issues : program : Thirty-fifth Annual Meeting, April 7-8, 1999, Crystal Forum Crystal City Marriott, Arlington, Va. Bethesda, MD: the Council, 1999.

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Capítulos de livros sobre o assunto "Medical physics. Medical radiology. Nuclear medicine"

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Green, Ruth A. R. "Nuclear Medicine". In Medical Radiology, 53–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77984-1_4.

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Bajc, Marika, Dinko Franceschi e Ari Lindqvist. "Pulmonary Functional Imaging, Basics and Clinical Application of Nuclear Medicine and Hybrid Imaging". In Medical Radiology, 107–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43539-4_7.

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De Ponti, Elena, e Luciano Bertocchi. "Nuclear Medicine Imaging". In Introduction to Medical Physics, 143–71. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780429155758-6.

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Luo, Jianqiao, e Muhammad Maqbool. "Nuclear Medicine Physics". In An Introduction to Medical Physics, 301–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61540-0_11.

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Towey, David, Lisa Rowley e Debbie Peet. "Nuclear Medicine Imaging and Therapy". In Practical Medical Physics, 111–54. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781315142425-5-7.

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Cullen, Anthony, e Martin O’Connell. "Tutorial 14: Introduction to Nuclear Medicine". In Tutorials in Diagnostic Radiology for Medical Students, 225–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31893-2_14.

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Salomon, J. "Digital Imaging in Nuclear Medicine". In Physics and Engineering of Medical Imaging, 595–605. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3537-2_43.

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Llosá, Gabriela, e Carlos Lacasta. "New Trends in Detectors for Medical Imaging". In Radiation Physics for Nuclear Medicine, 175–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11327-7_10.

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Marzullo, Paolo, Oberdan Parodi, Calogero R. Bellina, Claudio Marcassa, Danilo Neglia, Antonio Benassi, Alessandro Riva e Antonio L’Abbate. "Cardiovascular Nuclear Medicine and Functional Imaging". In Physics and Engineering of Medical Imaging, 171–82. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3537-2_9.

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Madsen, Mark T., e John J. Sunderland. "Nuclear Medicine and PET Phantoms". In The Phantoms of Medical and Health Physics, 201–22. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8304-5_11.

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Trabalhos de conferências sobre o assunto "Medical physics. Medical radiology. Nuclear medicine"

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Bauman, John, Steve Budd, Neil Katz, Michael A. Cawthon, John R. Romlein, John C. Weiser e Robert G. Leckie. "Conceptual plan to link nuclear medicine and the MDIS radiology PACS". In Medical Imaging 1993, editado por R. Gilbert Jost. SPIE, 1993. http://dx.doi.org/10.1117/12.152916.

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Santacruz-Gomez, K., C. Manzano, R. Melendrez, B. Castaneda, M. Barboza-Flores e M. Pedroza-Montero. "Assessment of OEP health's risk in nuclear medicine". In MEDICAL PHYSICS: Twelfth Mexican Symposium on Medical Physics. AIP, 2012. http://dx.doi.org/10.1063/1.4764604.

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Tobes, Michael C., Theodore J. Stahl e Rao Dasika. "Experience In The Integration Of A Nuclear Medicine PACS Into A PACS Radiology System". In Medical Imaging II, editado por Roger H. Schneider e Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968794.

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Ávila, O., N. A. Sánchez-Uribe, A. Rodríguez-Laguna, L. A. Medina, E. Estrada, A. E. Buenfil e M. E. Brandan. "Dose received by occupationally exposed workers at a nuclear medicine department". In MEDICAL PHYSICS: Twelfth Mexican Symposium on Medical Physics. AIP, 2012. http://dx.doi.org/10.1063/1.4764602.

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Moreno, A. Montoya, A. Rodríguez Laguna e Flavio E. Trujillo Zamudio. "Implementation of test for quality assurance in nuclear medicine gamma camera". In MEDICAL PHYSICS: Twelfth Mexican Symposium on Medical Physics. AIP, 2012. http://dx.doi.org/10.1063/1.4764607.

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Medina, Luis A. "Liposomes: A Novel Option in Nuclear Medicine for Diagnostic Imaging and Internal Therapy". In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2002. http://dx.doi.org/10.1063/1.1512032.

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Medina, Luis A., Beth Goins, Luis Manuel Montaño Zentina e Gerardo Herrera Corral. "Liposomes: A Novel Option in Nuclear Medicine for Diagnostic Imaging and Internal Therapy". In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2011. http://dx.doi.org/10.1063/1.3682840.

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Gaytán-Gallardo, E., e G. Desales-Galeana. "Refurbishing of a Freeze Drying Machine, used in Nuclear Medicine for Radiopharmaceuticals Production". In MEDICAL PHYSICS: Ninth Mexican Symposium on Medical Physics. AIP, 2006. http://dx.doi.org/10.1063/1.2356415.

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Trujillo-Zamudio, F. E., E. Gómez-Argumosa, E. Estrada-Lobato e L. A. Medina. "Radiation Exposure Levels in Diagnostic Patients Injected with 99mTc, 67Ga and 131I at the Mexican National Institute of Cancerology Nuclear Medicine Department". In MEDICAL PHYSICS: Ninth Mexican Symposium on Medical Physics. AIP, 2006. http://dx.doi.org/10.1063/1.2356458.

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Kersting, David, e Pedro Fragoso Costa. "A paradigm shift: Dosimetry approaches in theranostic nuclear medicine". In XVII MEXICAN SYMPOSIUM ON MEDICAL PHYSICS. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0161556.

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