Time filter

Source Type

News Article | December 21, 2016
Site: www.prnewswire.co.uk

According to a new market research report "Nuclear Imaging Equipment Market by Product (SPECT (Hybrid SPECT, Standalone SPECT), Hybrid PET, & Planar Scintigraphy), Application (Oncology, Cardiology & Neurology) & End user (Hospitals, Imaging Centers) - Global Forecasts to 2021", published by MarketsandMarkets, this report studies the global market for the forecast period of 2016 to 2021. This market is expected to reach USD 2.85 Billion by 2021 from USD 2.25 Billion in 2016, growing at a CAGR of 4.8%. Browse 84 market data Tables and 43 Figures spread through 166 Pages and in-depth TOC on "Nuclear Imaging Equipment Market" Early buyers will receive 10% customization on this report. The global Nuclear Imaging Equipment Market is segmented on the basis of product, application, end user, and region. Based on product, the Nuclear Imaging Equipment Market is categorized into SPECT systems, hybrid PET systems, and planar scintigraphy. In 2016, the SPECT systems segment is expected to account for the largest share of the Nuclear Imaging Equipment Market. The SPECT systems are further segmented into hybrid SPECT and standalone SPECT systems. In 2016, the hybrid SPECT segment is expected to account for the largest share of the SPECT Nuclear Imaging Equipment Market. Advantages such as better imaging ability, high resolution, and the ability to show molecular processes in vivo render hybrid SPECT systems superior than standalone systems. Based on application, the Nuclear Imaging Equipment Market is segmented into oncology, cardiology, neurology, and other applications (orthopedics, urology, thyroid-related disorders, and gastroenterology). In 2016, the oncology application segment is expected to account for the largest share of the nuclear imaging equipment applications market. The rising incidence and prevalence of cancer across the globe, initiatives taken by public and private organizations to curb the same, and development of advanced systems and radiotracers for oncology are the key factors contributing to the large share of the oncology segment. Based on end user, the nuclear imaging market is segmented into hospitals, imaging centers, academic & research centers, and other end users (pharmaceutical & biotechnology companies and CROs). In 2016, the hospitals segment is expected to account for the largest share of the market. The rise in the use of advanced imaging solutions and hybrid imaging systems in hospitals and enhanced care quality is driving the growth of this segment. Based on region, the Nuclear Imaging Equipment Market is divided into North America, Europe, Asia-Pacific, and Rest of the World (RoW). The RoW region comprises Latin America, the Middle East and Africa. In 2016, North America is projected to account for the largest share of the Nuclear Imaging Equipment Market, followed by Asia-Pacific and Europe. Increase in adoption of nuclear imaging technologies and rapid growth in aging population, along with high incidence and prevalence of chronic diseases, are propelling the growth of the North American Nuclear Imaging Equipment Market. Factors driving the global market include introduction of new and advanced products, investment for the modernization of diagnostic imaging centers, development of new radiotracers, and increasing incidence and prevalence of cancer & cardiovascular diseases. However, factors such as shutdown of National Research Universal (NRU) reactor, high cost of nuclear imaging equipment, and shorter half-life of radiopharmaceuticals are hindering the growth of the market. The major players in the global Nuclear Imaging Equipment Market are Siemens Healthineers (Germany), Philips Healthcare (Netherlands), and GE Healthcare (U.S.). These companies are dominant in the nuclear imaging market mainly due to their well-established presence in the field of medical imaging, presence in over 50 countries, high R&D investments, and strong sales and distribution force. The other players in the market include Toshiba Medical Systems Corporation (Japan), Neusoft Medical Systems Co., Ltd. (China), Mediso Medical Imaging Systems Ltd. (Hungary), Digirad Corporation (U.S.), CMR Naviscan Corporation (U.S.), SurgicEye GmbH (Germany), and DDD Diagnostics (Denmark). NUCLEAR MEDICINE/RADIOPHARMACEUTICALS MARKET by Type (Diagnostic (SPECT - Technetium, PET - F-18), Therapeutic (Beta Emitters - I-131, Alpha Emitters, Brachytherapy - Y-90) & by Application (Oncology, Thyroid, Cardiology) - Global Forecasts to 2021. MarketsandMarkets is the largest market research firm worldwide in terms of annually published premium market research reports. Serving 1700 global fortune enterprises with more than 1200 premium studies in a year, M&M is catering to a multitude of clients across 8 different industrial verticals. We specialize in consulting assignments and business research across high growth markets, cutting edge technologies and newer applications. Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model - GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. M&M's flagship competitive intelligence and market research platform, "RT" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets. The new included chapters on Methodology and Benchmarking presented with high quality analytical infographics in our reports gives complete visibility of how the numbers have been arrived and defend the accuracy of the numbers. We at MarketsandMarkets are inspired to help our clients grow by providing apt business insight with our huge market intelligence repository. Connect with us on LinkedIn @ http://www.linkedin.com/company/marketsandmarkets


PubMed | University of Bonn, Hamburg University of Applied Sciences, University of Würzburg and Mediso Medical Imaging Systems Ltd.
Type: Journal Article | Journal: Endocrine | Year: 2016

As an orphan malignancy, only limited treatment options are available in adrenocortical carcinoma (ACC). Non-invasive risk assessment has not been described but may be of value to stratify patients for treatment. We aimed to evaluate the potential value of intra-individual tumor heterogeneity as assessed by (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) for outcome prediction in treatment-nave ACC patients. Ten patients with primary diagnosis of ACC were included in this study. Prior to any treatment initiation, baseline (18)F-FDG PET scans were performed. Tumor staging was performed using the European Network for the Study of Adrenal Tumors (ENS@T). Intratumoral heterogeneity of the primary tumor was assessed by manual segmentation using conventional PET parameters (standardized uptake values and tumor-to-liver ratios) and textural features. The impact of tumoral heterogeneity based on pre-therapeutic (18)F-FDG PET to predict progression-free (PFS) and overall survival (OS) was evaluated by receiver operating characteristic analysis. On average, tumor recurrence or progression was detected after median of 561days (range 71-1434days) after the pre-therapeutic baseline PET scan. 50% of the patients died of ACC within the follow-up period (mean 983404days). Pre-therapeutic tumor volume was associated with PFS (r=-0.67, p=0.05) and Ki67 index with OS (r=-0.66, p=0.04). ENS@T tumor stage was the only parameter to correlate with both PFS and OS (r=-0.82, p=0.001, and r=-0.72, p=0.01, respectively). In the subgroup of patients without distant metastases (ENS@T stages II and III), age and pre-therapeutic tumor volume correlated significantly with PFS (r=0.96, p=0.01 and r=-0.93, p=0.02, respectively) and OS (r=0.95, p=0.02 and r=-0.90, p=0.04, respectively). None of the investigated classic or textural PET parameters predicted PFS or OS. In this pilot study in treatment-nave ACC patients, conventional (18)F-FDG PET-derived parameters and textural tumor heterogeneity features were not suitable to identify high-risk patients.


Bandi P.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

The current paper proposes a novel automated patient couch removal method on Computed Tomography (CT) images. Patient couch is often considered to be an unnecessary artifact especially when 3D rendered techniques are used. The method is based on measuring similarity between selected axial slices and the assumption that the bed object is constant on different slices. Due to the weight of the patient the couch could bend which is identifiable as sagittal movement on consecutive axial slices. Therefore the method focuses on finding this movement after an initial segmentation. According to initial validation performed on real medical data, our method is an effective tool to remove patient couch without user interaction.


Papp L.,Mediso Medical Imaging Systems Ltd
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

We present a novel detection and classification method to process SPECT-CT images representing breast and prostate lymph nodes. Lymph nodes are those nodes that are near the primer tumor and may become cancerous in time, hence their early detection is a key factor for the successful treatment of the patient. Prior methods focus on the visual aid to manually detect the lymph nodes which still makes the process time-consuming. Other solutions segment the lymph nodes only on CT, where the small lymph nodes may not be located accurately. Our solution processed both SPECT and CT data to provide an accurate classification of all SPECT hot spots. The method has been validated on a huge amount of medical data. Results show that our method is a very effective tool to support physicians working with related images in the field of nuclear medicine.


Papp L.,Mediso Medical Imaging Systems Ltd
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

An extended registration model is presented to register medical image triples acquired for brain dopamine receptor scintigraphies. The model operates with rigid and nonlinear transformations in parallel, where all transformation parameters are optimized by one optimization method. The concept of the transformation-sampling-similarity measurement minimizes the memory usage of a real implementation. A partial-fine sampling method is proposed to decrease the processing time of the registration. Real medical data was collected to compare our method with well-known prior ones. The first tests show that the model outperforms the classic registration methods in both speed and accuracy.


Zsoter N.,Mediso Medical Imaging Systems Ltd
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

An extended registration framework is presented to accurately register follow-up PET-CT study triples. Since there are six images to register, sophisticated feature extraction and similarity measurement methods are proposed. An irregular sampling method is introduced to decrease the processing speed of the hextuple registration. The similarity measurement is based on a normalized hybrid extended SSD (Sum of Squared Differences) and and extended NMI (Normalized mutual Information). The method has been tested on a huge amount of simulated data to avoid observer specific results. Based on the validation, our method outperforms prior solutions in both speed and accuracy, hence it should be the subject of further investigations.


PubMed | Universitatsklinikum Wurzburg, TU Munich, Mediso Medical Imaging Systems Ltd. and Chirurgische Klinik
Type: Journal Article | Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine | Year: 2015

(18)F-FDG PET/CT is effective in the assessment of therapy response. Changes in glucose uptake or tumor size are used as a measure. Tumor heterogeneity was found to be a promising predictive and prognostic factor. We investigated textural parameters for their predictive and prognostic capability in patients with rectal cancer using histopathology as the gold standard. In addition, a comparison to clinical outcome was performed.Twenty-seven patients with rectal cancer underwent (18)F-FDG PET/CT before, 2 wk after the start, and 4 wk after the completion of neoadjuvant chemoradiotherapy. In all PET/CT scans, conventional parameters (tumor volume, diameter, maximum and mean standardized uptake values, and total lesion glycolysis [TLG]) and textural parameters (coefficient of variation [COV], skewness, and kurtosis) were determined to assess tumor heterogeneity. Values on pretherapeutic PET/CT as well as changes early in the course of therapy and after therapy were compared with histopathologic response. In addition, the prognostic value was assessed by correlation with time to progression and survival time.The COV showed a statistically significant capability to assess histopathologic response early in therapy (sensitivity, 68%; specificity, 88%) and after therapy (79% and 88%, respectively). Thereby, the COV had a higher area under the curve in receiver-operating-characteristic analysis than did any analyzed conventional parameter for early and late response assessment. The COV showed a statistically significant capability to evaluate disease progression and to predict survival, although the latter was not statistically significant.Tumor heterogeneity assessed by the COV, being superior to the investigated conventional parameters, is an important predictive factor in patients with rectal cancer. Furthermore, it can provide prognostic information. Therefore, its application is an important step for personalized treatment of rectal cancer.


Zsoter N.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2012

An automatic method is presented in order to detect lung nodules in PET-CT studies. Using the foreground and background mean ratio independently in every nodule, we can detect the region of the nodules properly. The size and intensity of the lesions do not affect the result of the algorithm, although size constraints are present in the final classification step. The CT image is also used to classify the found lesions built on lung segmentation. We also deal with those cases when nearby and similar nodules are merged into one by a split-up post-processing step. With our method the time of the localization can be decreased from more than one hour to maximum five minutes. The method had been implemented and validated on real clinical cases in Interview Fusion clinical evaluation software (Mediso). Results indicate that our approach is very effective in detecting lung nodules and can be a valuable aid for physicians working in the daily routine of oncology.


Bandi P.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2012

Gold standard bone scintigraphy workflow contains acquisition of planar anterior and posterior images and if necessary, additional SPECTs as well. Planar acquisitions are time consuming and not enough for accurately locating hotspots. Current paper proposes a novel workflow for fast whole body bone SPECT scintigraphy. We present a novel stitching method to generate a whole body SPECT based on the SPECT projections. Our stitching method is performed on the projection series not on the reconstructed SPECTs, thus stitching artifacts are greatly reduced. Our workflow does not require any anterior-posterior image pairs, since these images are derived from the reconstructed whole body SPECT automatically. Our stitching method has been validated on real clinical data performed by medical physicians. Results show that our method is very effective for whole body SPECT generations leaving no signs of artifacts. Our workflow required overall 16 minutes to acquire a whole body SPECT which is comparable to the 60 minutes acquisition time required for gold standard techniques including planar images and additional SPECT acquisitions.


Bandi P.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2012

A novel method is presented to perform material map segmentation from preclinical MRI for corresponding PET attenuation correction. MRI does not provide attenuation ratio, hence segmenting a material map from it is challenging. Furthermore the MRI images often suffer from ghost artifacts. On the contrary MRI has no radiation dose. Our method operated with fast spin echo scout pairs that had perpendicular frequency directions. This way the direction of the ghost artifacts were perpendicular as well. Our body-air segmentation method built on this a priori information and successfully erased the ghost artifacts from the final binary mask. Visual and quantitative validation was performed by two preclinical specialists. Results indicate that our method is effective against MRI scout ghost artifacts and that PET attenuation correction based on MRI makes sense even on preclinical images.

Loading Mediso Medical Imaging Systems Ltd. collaborators
Loading Mediso Medical Imaging Systems Ltd. collaborators