In video transmission at low bit rates the challenge is to compress the video with a minimal reduction of the percieved quality. The compression can be adapted to knowledge of which regions in the video sequence are of most interest to the viewer. Region of interest (ROI) video coding uses this information to control the allocation of bits to the background and the ROI. The aim is to increase the quality in the ROI at the expense of the quality in the background. In order for this to occur the typical content of an ROI for a particular application is firstly determined and the actual detection is performed based on this information. The allocation of bits can then be controlled based on the result of the detection. In this licenciate thesis existing methods to control bit allocation in ROI video coding are investigated. In particular pre-processing methods that are applied independently of the codec or standard. This makes it possible to apply the method directly to the video sequence without modifications to the codec. Three filters are proposed in this thesis based on previous approaches. The spatial filter that only modifies the background within a single frame and the temporal filter that uses information from the previous frame. These two filters are also combined into a spatio-temporal filter. The abilities of these filters to reduce the number of bits necessary to encode the background and to successfully re-allocate these to the ROI are investigated. In addition the computational compexities of the algorithms are analysed. The theoretical analysis is verified by quantitative tests. These include measuring the quality using both the PSNR of the ROI and the border of the background, as well as subjective tests with human test subjects and an analysis of motion vector statistics. The qualitative analysis shows that the spatio-temporal filter has a better coding efficiency than the other filters and it successfully re-allocates the bits from the foreground to the background. The spatio-temporal filter gives an improvement in average PSNR in the ROI of more than 1.32 dB or a reduction in bitrate of 31 % compared to the encoding of the original sequence. This result is similar to or slightly better than the spatial filter. However, the spatio-temporal filter has a better performance, since its computational complexity is lower than that of the spatial filter.

How is it that we feel that we own our body? And how does the brain create this feeling? By manipulating the integration of multisensory signals, researchers have recently begun to probe this question. By creating the illusory experience of owning external body-parts and entire bodies, researchers have investigated the neurofunctional correlates of body ownership. Recent attempts to quantitatively synthesize the neuroimaging literature of body ownership have shown inconsistent results. A large proportion of functional magnetic resonance imaging (fMRI) findings on body ownership includes region of interest (ROI) analysis. This analysis approach produces inflated findings when results are synthesized in meta-analyses. We conducted a systematic search of the fMRI literature of ownership of body-parts and entire bodies. Two activation likelihood estimation (ALE) meta-analyses were conducted, testing the impact of including ROI-based findings. When ROI-based results were included, frontal and posterior parietal multisensory areas were associated with body ownership. However, a whole-brain meta-analysis, excluding ROI-based results, found no significant convergence of activation across the brain. These findings highlight the difficulty of quantitatively synthesizing a neuroimaging field where a large part of the literature is based on findings from ROI analysis. We discuss the difficulty of quantitatively synthesizing results based on ROI analysis and suggest future directions for the study of body ownership within the field of cognitive neuroscience.

Amyloidos uppstår när amyloid, felveckade proteiner, ackumuleras extracellulärt i vävnaden. Det finns två typer av amyloid som ger upphov till hjärtamyloidos: lätt immunoglobulinkedja amyloidos (AL-amyloidos) och transtyretinamyloidos (TTR-amyloidos). TTR-amyloidos delas in i hereditär transtyretinamyloidos (hATTR) och wild-type transtyretinamyloidos (wtATTR). Beroende på vilken typ av amyloidos ges olika behandlingar. Idag används alltmer en icke-invasiv nuklearmedicinsk undersökning, för diagnostik och differentiering vid hjärtamyloidos. Bedömningen är visuell och utgår från ett utarbetat graderingssystem av Perugini. Vid klinisk fysiologi och nuklearmedicin på Skånes universitetssjukhus har efterfrågan av den nuklearmedicinska undersökningen för hjärtamyloidos ökat. Syftet med denna studie är att optimera hjärtscintigrafi amyloidos med 99mTc-DPD genom beräkning av antalet counts i SPECT/CT och i planara bilder, och därefter beräkna aktiviteten per kilogram kroppsvikt för att undersöka om stråldosen till patienten kan minskas. Dessutom kommer en jämförelse mellan manuella och cirkulära ROI att utföras för att undersöka om någon skillnad föreligger. Denna retrospektiva studie omfattade tidigare genomförda undersökningar och hitintills har 17 patienter genomgått hjärtamyloidos scintigrafi med 99mTc-DPD. Resultaten av studien visade ingen signifikant skillnad mellan cirkulära och manuella ROI (p = 0,504), vilket talade för en god överensstämmelse. För att reducera stråldosen till patienten kan viktbaserad dosmängd vara ett alternativ i framtiden. / Amyloidosis occurs when amyloid, misfolded proteins, accumulate extracellularly in the tissue. There are two types of amyloid that cause cardiac amyloidosis: immunoglobulin light chain amyloidosis (AL amyloidosis) and transthyretin amyloidosis (TTR amyloidosis). TTR amyloidosis is divided into hereditary transthyretin amyloidosis (hATTR) and wild-type transthyretin amyloidosis (wtATTR). Different treatments are available depending on what type of amyloidosis. Today, a non-invasive nuclear medicine examination is increasingly being used for the diagnosis and differentiation of cardiac amyloidosis. The assessment of cardiac amyloidosis involves a visual assessment based on the Perugini grading system. In the Clinical Physiology and Nuclear medicine Department at Skåne University Hospital, there is an increasing demand for cardiac amyloidosis scintigraphy with 99mTc-DPD. The aim of this study is to optimize 99mTc-DPD scintigraphy for cardiac amyloidosis by identifying the number of counts in planar and in SPECT/CT images. The patient’s body weight will also be studied to determine if the patient’s radiation dose can be reduced. In addition, a comparison between manual and circular region of interest (ROI) will be performed to examine whether a difference exists. The study involved a retrospective analysis of 17 patients that have undergone cardiac amyloidosis scintigraphy with 99mTc-DPD. The results showed no significant difference between circular and manual ROI (p = 0.504), which indicated good agreement. Weight-based radiation dose may be an alternative in the future, in order to reduce the radiation dose to the patient.

No description available.

In a video there are certain regions in the image that viewers focus on more than others, which are called the salient regions or Regions­Of-Interest (ROI). This thesis aims to improve the perceived quality of videos by improving the quality of these ROis while degrading the quality of the other non-ROI regions of a frame to keep the same bitrate as would have been the case otherwise. This improvement is achieved by using saliency maps generated using an eye tracker or a deep neural network and providing this information to a modified video encoder. In this thesis the open source x264 encoder was chosen to make use of this information. The effects of ROI encoding are studied for high quality 720p videos by encoding them at low bitrates. The results indicate that ROI encoding can improve subjective video quality when carefully applied. / I en video £inns <let vissa delar av bilden som tittarna fokuserar mer pa an andra, och dessa kallas Region of Interest". Malet med den har upp­satsen ar att hoja den av tittaren upplevda videokvaliteten genom att minska kompressionsgraden ( och darmed hoja kvaliteten) i de iogon­fallande delarna av bilden, samtid som man hojer kompressionsgra­den i ovriga delar sa att bitraten blir den samma som innan andring­en. Den har forbattringen gors genom att anvanda Saliency Mapsss­om visar de iogonfallande delarna for varje bildruta. Dessa Saliency Maps"har antingen detekterats med hjalp av en Eye Tracker eller sa har de raknats fram av ett Neuralt Natverk. Informationen anvands sedan i en modifierad version av den oppna codecen x264 enligt en egen­designad algoritm. Effekten av forandringen har studerats genom att koda hogkvalitativa kallfiler vid lag bitrate. Resultaten indikerar att denna metod kan forbattra den upplevda kvaliteten av en video om den appliceras med ratt styrka.

Recent interest has emerged in microsensor platforms that are capable of supporting reconnaissance, surveillance and target acquisition operations. These devices typically consist of one or more sensors, signal conditioning and processing subsystems, a radio link and a power source. Sensors employed can range from acoustic, to seismic, to magnetic, to visible/infrared imagers. A notable shortcoming of these systems is the fact that they are battery powered. The use of a finite power source places an upper limit on the lifespan of such a system. Thus, a major thrust in the development and usage of these microsensor platforms lies in the conservation of their limited energy resources. In attempt to reduce power consumption and hence extend the system's lifespan, communication bandwidths are often limited. In order to reduce the required bandwidth, much of the signal processing necessary to achieve a desired functionality must be performed within the microsensor platform itself. This thesis effort provides this crucial bandwidth reduction by implementing in hardware an algorithm developed by the University of Maryland, which limits transmissions to the best view Regions-of-Interest (ROI) data, on the CAuS platform by BAE Systems. The hardware implementation was verified with a Matlab script that compared its results with those of the original algorithm. It was shown that these implementations were consistent for all of the data sets tested. Moreover, a subjective analysis, in which the detected ROIs were visually inspected, was performed to corroborate the former quantitative results. / Master of Science

No description available.

Hintergrund und Fragestellung Um den Zeitpunkt des Beginns der Datenakquisition bei der CT-Koronarangiographie festzulegen, bietet die Methode des Bolus-Trackings eine weit verbreitete Möglichkeit. Hierfür muss eine sogenannte Region of Interest (ROI) festgelegt werden, in der die Kontrastmittelanflutung gemessen wird. Bisher wurden die Auswirkungen unterschiedlicher Positionierungen dieser ROI auf die Bildqualität der Koronararterien (Hauptstamm der linken Koro-nararterie: LM; rechte Koronararterie: RCA) noch nicht systematisch untersucht. Zwei häufig verwendete Positionen sind der linke Herzvorhof (LV) und die Aorta ascendens (AA). Diese Positionierungen sollten in dieser Studie verglichen werden. Auch bei der Triple-Rule-Out-CT-Angiographie (TRO-CTA), in der zusätzlich zu den Koronararterien auch die Pulmonalarterien sowie die thorakale Aorta beurteilt werden sollen, kommt das Bolus-Tracking zur Anwendung. Die ROI wird hierbei meist im linken Herzvorhof positioniert. Da bisher nicht gezeigt wurde, ob die Pulmonalarterien (rechte Pulmonalarterie: RPA; linke Pulmonalarterie: LPA) dadurch tatsächlich in besserer Qualität dargestellt werden, sollte auch diese Frage in der Studie beantwortet werden. Methode Alle Patienten der vorliegenden monozentrischen, retrospektiven Studie erhielten eine CT-Koronarangiographie im Step-and-Shoot-Modus zum Ausschluss einer koronaren Herzkrankheit bei intermediärem Risiko. Mittels Propensity-Score-Matching wurden insgesamt 192 Patienten für die Studie ausgewählt: je 96 mit Positionierung der ROI im linken Vorhof bzw. in der Aorta ascendens (122 männliche und 70 weibliche Patienten, Alter 21 bis 87 Jahre, Durchschnittsalter 61 Jahre). Um möglichst ähnliche Patientencharakteristika in beiden Gruppen zu erreichen, wurden beim Propensity-Score-Matching folgende Faktoren berücksichtigt: Geschlecht, Körpergröße, Körpergewicht und Herzfrequenz. Für die Beurteilung der Bildqualität wurden sowohl ein quantitativer als auch ein qualitativer Score verwendet. Bei der quantitativen Analyse wurden die Signalintensitäten sowie deren Standardabweichungen in den zu beurteilenden Strukturen gemessen und daraus die Signal-Rausch-Verhältnisse (SNR) errechnet. Die qualitative Auswertung wurde von zwei Fachärzten für Radiologie mit 10 bzw. 6 Jahren Erfahrung in der CT-Koronarangiographie unabhängig voneinander mit Hilfe einer 5-Punkte-Likert-Skala durchgeführt. So wurde zum einen die Qualität der Darstellung der Koronararterien verglichen, zum anderen die der Pulmonalarterien. Für die statistische Auswertung wurde der Wilcoxon-Test verwendet, um die quantitativen sowie qualitativen Scores beider Patientengruppen miteinander zu vergleichen. Außerdem wurde bezüglich der qualitativen Analyse die Interrater-Reliabilität mittels gewichtetem Cohens Kappa (κ) bestimmt. Zusätzlich wurde die Strahlenbelastung beider Gruppen durch die Betrachtung der Dosis-Längen-Produkte sowie die Berechnung der effektiven Dosen verglichen. Ergebnisse Bezüglich der Koronararterien fanden sich sowohl beim Vergleich der quantitativen (SNR AA 14.92 vs. 15.46; p = 0.619 | SNR LM 19.80 vs. 20.30; p = 0.661 | SNR RCA 24.34 vs. 24.30; p = 0.767) als auch der qualitativen Scores (4.25 vs. 4.29; p = 0.672) keine signifikanten Unterschiede in beiden Gruppen. Für die Darstellung der Pulmonalarterien hat die Position der ROI allerdings eine entscheidende Bedeutung. Bei einer Positionierung im linken Vorhof ergeben sich signifikant höhere quantitative (SNR RPA 8.70 vs. 5.89; p < 0.001 | SNR LPA 9.06 vs. 6.25; p < 0.001) und auch qualitative Scores (3.97 vs. 2.24; p < 0.001) als bei einer Positionierung in der Aorta ascendens. Bezüglich der Interrater-Reliabilität konnte in dieser Studie eine beachtliche Konkordanz bei der Analyse der Koronararterien (κ = 0.654) bzw. eine nahezu vollkommene Konkordanz bei der Analyse der Pulmonalarterien (κ = 0.846) festgestellt werden. Die Strahlenbelastung war in beiden Gruppen nahezu identisch (4.13 mSv vs. 4.13 mSv; p = 0.501). Schlussfolgerung Für CT-Angiographien mit ausschließlich koronarer Indikation bedeutet dieses Ergebnis, dass die Positionierung der ROI für das Bolus-Tracking in der Aorta ascendens bzw. im linken Herzvorhof zu gleichwertigen Ergebnissen bezüglich der Bildqualität führen und somit die aktuell von vielen Untersuchern bevorzugte Positionierung der ROI in der Aorta ascendens weiterhin angewendet werden kann. Außerdem wurde in dieser Studie nachgewiesen, dass eine Positionierung der ROI im linken Herzvorhof zu einer besseren Beurteilbarkeit der Pulmonalarterien führt und deshalb bei der TRO-CTA angewendet werden sollte. Das Ergebnis zeigt aber auch, dass diese bei der TRO-CTA übliche Positionierung im linken Herzvorhof die Abbildung der Koronararterien nicht beeinträchtigt und der Einsatzbereich der TRO-CTA somit weiter ausgedehnt werden kann. / Background, aims and objectives The bolus tracking technique is widely used for choosing the optimal starting point of data acquisition in coronary computed tomography angiography (CCTA) scans. It utilizes repeated scans at a predefined position in order to determine the concentration of contrast media in a region of interest (ROI). The scan starts automatically when a trigger threshold is reached. The effect by different ROI positioning on image quality in CCTA has not been systematically evaluated yet. In CCTA, the ROI may be positioned in the left atrium (LV) or the ascending aorta (AA). In triple-rule-out-CTA (TRO-CTA), which allows for the evaluation of the pulmonary arteries and the thoracic aorta in addition to the coronary arteries, the ROI is mostly positioned in the left atrium. This choice of ROI positioning is empirical and its effect on the contrast filling of the pulmonary arteries has not been studied systematically. In the current study we evaluated the effect of ROI positioning on image quality of the coronary arteries (left main coronary artery: LM; right coronary artery: RCA) and the pulmonary arteries (right pulmonary artery: RPA; left pulmonary artery: LPA), respectively. Method In the current monocentric retrospective study all patients underwent CCTA by step-and-shoot mode to rule out coronary artery disease at intermediate risk. We compared two groups of patients with ROI in the left atrium or the ascending aorta. Each group contained 96 patients, so overall 192 patients were included (122 male, 70 female, age 21 to 87 years, 61 years on average). To select pairs of patients with similar characteristics, propensity score matching was used. Matching criteria were height, body weight, sex and heart rate. To evaluate the image quality, we used quantitative and qualitative scores. Signal-to-noise ratio (SNR), defined as the quotient of the mean signal intensity and the standard deviation of signal intensity, represented the quantitative score. For generating the qualitative score, overall image quality was assessed independently by two radiologists with ten and six years of experience with CCTA, respectively, using a five point Likert scale. This way, we compared the quality of the depiction of the coronary arteries on the one hand and of the pulmonary arteries on the other hand. For statistical evaluation the Wilcoxon test was used to compare the quantitative and qualitative scores of the two groups. Regarding the qualitative analysis, interrater agreement was evaluated using weighted Cohens kappa. Furthermore the radiation exposure was compared by viewing the dose-length products provided by the scanner and calculating the effective doses from these. Results In terms of the coronary arteries, there was no significant difference between both groups regarding quantitative (SNR AA 14.92 vs. 15.46; p = 0.619 | SNR LM 19.80 vs. 20.30; p = 0.661 | SNR RCA 24.34 vs. 24.30; p = 0.767) or qualitative scores (4.25 vs. 4.29; p = 0.672), respectively. In terms of the pulmonary arteries, we can see significant higher quantitative (SNR RPA 8.70 vs. 5.89; p < 0.001 | SNR LPA 9.06 vs. 6.25; p < 0.001) and qualitative scores (3.97 vs. 2.24; p < 0.001) for bolus tracking positioning in the left atrium than for bolus tracking positioning in the ascending aorta. The calculation of the interrater reliability showed substantial agreement for the analysis of the coronary arteries (κ = 0.654) and almost perfect agreement for the analysis of the pulmonary arteries (κ = 0.846). The radiation exposure was almost identical in both groups of patients (4.13 mSv vs. 4.13 mSv; p = 0.501). Conclusion Bolus tracking positioning in the left atrium or the ascending aorta causes equivalent image quality of the coronary arteries, so that the current mostly preferred position for the exclusively consideration of the coronary arteries in the ascending aorta can be maintained. Positioning in the left atrium causes a significant higher image quality of the pulmonary arteries, therefore it should be used for TRO-CTA. In addition, the study shows that this for TRO-CTA mostly used position in the left atrium does not adversely affect depiction of the coronary arteries, if compared to conventional bolus tracking positioning in the ascending aorta. This implies that despite the improved depiction of the pulmonary arteries and the aorta in TRO-CTA, the depiction of the coronary arteries is not restricted. Consequently these results are a further argument for an extension of the indication for TRO-CTA in place of conventional CCTA in patients with acute thoracic pain.

The work focuses on the analysis of paintings to determine the painting techniques. Specifically, it focuses on the localization of the underdrawing by comparing images taken in the spectra with different penetration depth. Defines the problem associated with the capture of the compared images in different spectra. Specifies methods that determine the dependence between two parts of the spectrum (mainly RGB and IR) and based on the dependence approximates conversion between these two parts of the spectrum (Red spectral component projection, Colour intensity, Weighted average of spectral components, Table conversion, Linear regression, PCA analysis and Edge decomposition). Work also describes more general problems that complicate solving tasks, such as noise, non-uniform illumination and adding the same type of radiation. Problems at work are thoroughly analyzed. We design a Calculation of illumination parameters using a neural network, Approximation of illumination by blur, Polynomial approximation of illumination and TWMJ approximation of illumination for suppressing non-uniform illumination. Define methods Estimation by edge decomposition and Local least squares method solving adding the same type of radiation. In addition, we describe the Gaussian filter, the Averaging, Median filter, Conservative...

The main objective of this thesis is to provide a smooth video playout on the mobile device over wireless networks. The parameters that specify the wireless channel include: bandwidth variation, frame losses, and outage time. These parameters may affect the quality of the video negatively, and the mobile users may notice sudden stops during the playout video, i.e., the picture is momentarily frozen, followed by a jump from one scene to a different one. This thesis focuses on eliminating frozen pictures and reducing the amount of video data that need to be transmitted. In order to eliminate frozen scenes on the mobile screen, we propose three different techniques. In the first technique, the video frames are split into sub-frames; these sub-frames are streamed over different channels. In the second technique the sub-frames will be “crossed” and sent together with other sub-frames that are from different positions in the streaming video sequence. If some sub-frames are lost during the transmission a reconstruction mechanism will be applied on the mobile device to recreate the missing sub-frames. In the third technique, we propose a Time Interleaving Robust Streaming (TIRS) technique to stream the video frames in different order. The benefit of that is to avoid losing a sequence of neighbouring frames. A missing frame from the streaming video will be reconstructed based on the surrounding frames on the mobile device. In order to reduce the amount of video data that are streamed over limited bandwidth channels, we propose two different techniques. These two techniques are based on identifying and extracting a high motion region of the video frames. We call this the Region Of Interest (ROI); the other parts of the video frames are called the non-Region Of Interest (non-ROI). The ROI is transmitted with high quality, whereas the non-ROI is interpolated from a number of references frames. In the first technique the ROI is a fixed size region; we considered four different types of ROI and three different scenarios. The scenarios are based on the position of the reference frames in the streaming frame sequence. In the second technique the ROI is identified based on the motion in the video frames, therefore the size, position, and shape of the ROI will be different from one video to another according to the video characteristic. The videos are coded using ffmpeg to study the effect of the proposed techniques on the encoding size. Subjective and objective metrics are used to measure the quality level of the reconstructed videos that are obtained from the proposed techniques. Mean Opinion Score (MOS) measurements are used as a subjective metric based on human opinions, while for objective metric the Structural Similarity (SSIM) index is used to compare the similarity between the original frames and the reconstructed frames.