Temperature dependence of postmortem MR quantification for soft tissue discrimination.

OBJECTIVES To investigate and correct the temperature dependence of postmortem MR quantification used for soft tissue characterization and differentiation in thoraco-abdominal organs. MATERIAL AND METHODS Thirty-five postmortem short axis cardiac 3-T MR examinations were quantified using a quantification sequence. Liver, spleen, left ventricular myocardium, pectoralis muscle and subcutaneous fat were analysed in cardiac short axis images to obtain mean T1, T2 and PD tissue values. The core body temperature was measured using a rectally inserted thermometer. The tissue-specific quantitative values were related to the body core temperature. Equations to correct for temperature differences were generated. RESULTS In a 3D plot comprising the combined data of T1, T2 and PD, different organs/tissues could be well differentiated from each other. The quantitative values were influenced by the temperature. T1 in particular exhibited strong temperature dependence. The correction of quantitative values to a temperature of 37 °C resulted in better tissue discrimination. CONCLUSION Postmortem MR quantification is feasible for soft tissue discrimination and characterization of thoraco-abdominal organs. This provides a base for computer-aided diagnosis and detection of tissue lesions. The temperature dependence of the T1 values challenges postmortem MR quantification. Equations to correct for the temperature dependence are provided. KEY POINTS • Postmortem MR quantification is feasible for soft tissue discrimination and characterization • Temperature dependence of the T1 values challenges the MR quantification approach • The results provide the basis for computer-aided postmortem MRI diagnosis • Diagnostic criteria may also be applied for living patients.

The molecular signature of the stroma response in prostate cancer-induced osteoblastic bone metastasis highlights expansion of hematopoietic and prostate epithelial stem cell niches

The reciprocal interaction between cancer cells and the tissue-specific stroma is critical for primary and metastatic tumor growth progression. Prostate cancer cells colonize preferentially bone (osteotropism), where they alter the physiological balance between osteoblast-mediated bone formation and osteoclast-mediated bone resorption, and elicit prevalently an osteoblastic response (osteoinduction). The molecular cues provided by osteoblasts for the survival and growth of bone metastatic prostate cancer cells are largely unknown. We exploited the sufficient divergence between human and mouse RNA sequences together with redefinition of highly species-specific gene arrays by computer-aided and experimental exclusion of cross-hybridizing oligonucleotide probes. This strategy allowed the dissection of the stroma (mouse) from the cancer cell (human) transcriptome in bone metastasis xenograft models of human osteoinductive prostate cancer cells (VCaP and C4-2B). As a result, we generated the osteoblastic bone metastasis-associated stroma transcriptome (OB-BMST). Subtraction of genes shared by inflammation, wound healing and desmoplastic responses, and by the tissue type-independent stroma responses to a variety of non-osteotropic and osteotropic primary cancers generated a curated gene signature ("Core" OB-BMST) putatively representing the bone marrow/bone-specific stroma response to prostate cancer-induced, osteoblastic bone metastasis. The expression pattern of three representative Core OB-BMST genes (PTN, EPHA3 and FSCN1) seems to confirm the bone specificity of this response. A robust induction of genes involved in osteogenesis and angiogenesis dominates both the OB-BMST and Core OB-BMST. This translates in an amplification of hematopoietic and, remarkably, prostate epithelial stem cell niche components that may function as a self-reinforcing bone metastatic niche providing a growth support specific for osteoinductive prostate cancer cells. The induction of this combinatorial stem cell niche is a novel mechanism that may also explain cancer cell osteotropism and local interference with hematopoiesis (myelophthisis). Accordingly, these stem cell niche components may represent innovative therapeutic targets and/or serum biomarkers in osteoblastic bone metastasis.

Classification of interstitial lung disease patterns using local DCT features and random forest.

Over the last decade, a plethora of computer-aided diagnosis (CAD) systems have been proposed aiming to improve the accuracy of the physicians in the diagnosis of interstitial lung diseases (ILD). In this study, we propose a scheme for the classification of HRCT image patches with ILD abnormalities as a basic component towards the quantification of the various ILD patterns in the lung. The feature extraction method relies on local spectral analysis using a DCT-based filter bank. After convolving the image with the filter bank, q-quantiles are computed for describing the distribution of local frequencies that characterize image texture. Then, the gray-level histogram values of the original image are added forming the final feature vector. The classification of the already described patches is done by a random forest (RF) classifier. The experimental results prove the superior performance and efficiency of the proposed approach compared against the state-of-the-art.

A complete-pelvis segmentation framework for image-free total hip arthroplasty (THA): methodology and clinical study

Background Complete-pelvis segmentation in antero-posterior pelvic radiographs is required to create a patient-specific three-dimensional pelvis model for surgical planning and postoperative assessment in image-free navigation of total hip arthroplasty. Methods A fast and robust framework for accurately segmenting the complete pelvis is presented, consisting of two consecutive modules. In the first module, a three-stage method was developed to delineate the left hemipelvis based on statistical appearance and shape models. To handle complex pelvic structures, anatomy-specific information processing techniques were employed. As the input to the second module, the delineated left hemi-pelvis was then reflected about an estimated symmetry line of the radiograph to initialize the right hemi-pelvis segmentation. The right hemi-pelvis was segmented by the same three-stage method, Results Two experiments conducted on respectively 143 and 40 AP radiographs demonstrated a mean segmentation accuracy of 1.61±0.68 mm. A clinical study to investigate the postoperative assessment of acetabular cup orientations based on the proposed framework revealed an average accuracy of 1.2°±0.9° and 1.6°±1.4° for anteversion and inclination, respectively. Delineation of each radiograph costs less than one minute. Conclusions Despite further validation needed, the preliminary results implied the underlying clinical applicability of the proposed framework for image-free THA.

Postmortem quantitative 1.5-T MRI for the differentiation and characterization of serous fluids, blood, CSF, and putrefied CSF.

The purpose of the present study was to investigate whether serous fluids, blood, cerebrospinal fluid (CSF), and putrefied CSF can be characterized and differentiated in synthetically calculated magnetic resonance (MR) images based on their quantitative T 1, T 2, and proton density (PD) values. Images from 55 postmortem short axis cardiac and 31 axial brain 1.5-T MR examinations were quantified using a quantification sequence. Serous fluids, fluid blood, sedimented blood, blood clots, CSF, and putrefied CSF were analyzed for their mean T 1, T 2, and PD values. Body core temperature was measured during the MRI scans. The fluid-specific quantitative values were related to the body core temperature. Equations to correct for temperature differences were generated. In a 3D plot as well as in statistical analysis, the quantitative T 1, T 2 and PD values of serous fluids, fluid blood, sedimented blood, blood clots, CSF, and putrefied CSF could be well differentiated from each other. The quantitative T 1 and T 2 values were temperature-dependent. Correction of quantitative values to a temperature of 37 °C resulted in significantly better discrimination between all investigated fluid mediums. We conclude that postmortem 1.5-T MR quantification is feasible to discriminate between blood, serous fluids, CSF, and putrefied CSF. This finding provides a basis for the computer-aided diagnosis and detection of fluids and hemorrhages.

Stiffness, Strength, and Failure Modes of Implant-Supported Monolithic Lithium Disilicate Crowns: Influence of Titanium and Zirconia Abutments

PURPOSE The objective of this study was to evaluate stiffness, strength, and failure modes of monolithic crowns produced using computer-aided design/computer-assisted manufacture, which are connected to diverse titanium and zirconia abutments on an implant system with tapered, internal connections. MATERIALS AND METHODS Twenty monolithic lithium disilicate (LS2) crowns were constructed and loaded on bone level-type implants in a universal testing machine under quasistatic conditions according to DIN ISO 14801. Comparative analysis included a 2 × 2 format: prefabricated titanium abutments using proprietary bonding bases (group A) vs nonproprietary bonding bases (group B), and customized zirconia abutments using proprietary Straumann CARES (group C) vs nonproprietary Astra Atlantis (group D) material. Stiffness and strength were assessed and calculated statistically with the Wilcoxon rank sum test. Cross-sections of each tested group were inspected microscopically. RESULTS Loaded LS2 crowns, implants, and abutment screws in all tested specimens (groups A, B, C, and D) did not show any visible fractures. For an analysis of titanium abutments (groups A and B), stiffness and strength showed equally high stability. In contrast, proprietary and nonproprietary customized zirconia abutments exhibited statistically significant differences with a mean strength of 366 N (Astra) and 541 N (CARES) (P < .05); as well as a mean stiffness of 884 N/mm (Astra) and 1,751 N/mm (CARES) (P < .05), respectively. Microscopic cross-sections revealed cracks in all zirconia abutments (groups C and D) below the implant shoulder. CONCLUSION Depending on the abutment design, prefabricated titanium abutment and proprietary customized zirconia implant-abutment connections in conjunction with monolithic LS2 crowns had the best results in this laboratory investigation.

Time-Efficiency Analysis Comparing Digital and Conventional Workflows for Implant Crowns: A Prospective Clinical Crossover Trial

PURPOSE To compare time-efficiency in the production of implant crowns using a digital workflow versus the conventional pathway. MATERIALS AND METHODS This prospective clinical study used a crossover design that included 20 study participants receiving single-tooth replacements in posterior sites. Each patient received a customized titanium abutment plus a computer-aided design/computer-assisted manufacture (CAD/CAM) zirconia suprastructure (for those in the test group, using digital workflow) and a standardized titanium abutment plus a porcelain-fused-to-metal crown (for those in the control group, using a conventional pathway). The start of the implant prosthetic treatment was established as the baseline. Time-efficiency analysis was defined as the primary outcome, and was measured for every single clinical and laboratory work step in minutes. Statistical analysis was calculated with the Wilcoxon rank sum test. RESULTS All crowns could be provided within two clinical appointments, independent of the manufacturing process. The mean total production time, as the sum of clinical plus laboratory work steps, was significantly different. The mean ± standard deviation (SD) time was 185.4 ± 17.9 minutes for the digital workflow process and 223.0 ± 26.2 minutes for the conventional pathway (P = .0001). Therefore, digital processing for overall treatment was 16% faster. Detailed analysis for the clinical treatment revealed a significantly reduced mean ± SD chair time of 27.3 ± 3.4 minutes for the test group compared with 33.2 ± 4.9 minutes for the control group (P = .0001). Similar results were found for the mean laboratory work time, with a significant decrease of 158.1 ± 17.2 minutes for the test group vs 189.8 ± 25.3 minutes for the control group (P = .0001). CONCLUSION Only a few studies have investigated efficiency parameters of digital workflows compared with conventional pathways in implant dental medicine. This investigation shows that the digital workflow seems to be more time-efficient than the established conventional production pathway for fixed implant-supported crowns. Both clinical chair time and laboratory manufacturing steps could be effectively shortened with the digital process of intraoral scanning plus CAD/CAM technology.

Influence of Abutment Design on Stiffness, Strength, and Failure of Implant-Supported Monolithic Resin Nano Ceramic (RNC) Crowns

BACKGROUND Recent technical development allows the digital manufacturing of monolithic reconstructions with high-performance materials. For implant-supported crowns, the fixation requires an abutment design onto which the reconstruction can be bonded. PURPOSE The aim of this laboratory investigation was to analyze stiffness, strength, and failure modes of implant-supported, computer-assisted design and computer-aided manufacturing (CAD/CAM)-generated resin nano ceramic (RNC) crowns bonded to three different titanium abutments. MATERIALS AND METHODS Eighteen monolithic RNC crowns were produced and loaded in a universal testing machine under quasi-static condition according to DIN ISO 14801. With regard to the type of titanium abutment, three groups were defined: (1) prefabricated cementable standard; (2) CAD/CAM-constructed individualized; and (3) novel prefabricated bonding base. Stiffness and strength were measured and analyzed statistically with Wilcoxon rank sum test. Sections of the specimens were examined microscopically. RESULTS Stiffness demonstrated high stability for all specimens loaded in the physiological loading range with means and standard deviations of 1,579 ± 120 N/mm (group A), 1,733 ± 89 N/mm (group B), and 1,704 ± 162 N/mm (group C). Mean strength of the novel prefabricated bonding base (group C) was 17% lower than of the two other groups. Plastic deformations were detectable for all implant-abutment crown connections. CONCLUSIONS Monolithic implant crowns made of RNC seem to represent a feasible and stable prosthetic construction under laboratory testing conditions with strength higher than the average occlusal force, independent of the different abutment designs used in this investigation.

In Vitro Implant Impression Accuracy Using a New Photopolymerizing SDR Splinting Material

PURPOSE The study aims to evaluate three-dimensionally (3D) the accuracy of implant impressions using a new resin splinting material, "Smart Dentin Replacement" (SDR). MATERIALS AND METHODS A titanium model of an edentulous mandible with six implant analogues was used as a master model and its dimensions measured with a coordinate measuring machine. Before the total 60 impressions were taken (open tray, screw-retained abutments, vinyl polysiloxane), they were divided in four groups: A (test): copings pick-up splinted with dental floss and fotopolymerizing SDR; B (test): see A, additionally sectioned and splinted again with SDR; C (control): copings pick-up splinted with dental floss and autopolymerizing Duralay® (Reliance Dental Mfg. Co., Alsip, IL, USA) acrylic resin; and D (control): see C, additionally sectioned and splinted again with Duralay. The impressions were measured directly with an optomechanical coordinate measuring machine and analyzed with a computer-aided design (CAD) geometric modeling software. The Wilcoxon matched-pair signed-rank test was used to compare groups. RESULTS While there was no difference (p = .430) between the mean 3D deviations of the test groups A (17.5 μm) and B (17.4 μm), they both showed statistically significant differences (p < .003) compared with both control groups (C 25.0 μm, D 19.1 μm). CONCLUSIONS Conventional impression techniques for edentulous jaws with multiple implants are highly accurate using the new fotopolymerizing splinting material SDR. Sectioning and rejoining of the SDR splinting had no impact on the impression accuracy.

CAD/CAM fabrication accuracy of long- vs. short-span implant-supported FDPs

OBJECTIVE To compare the precision of fit of long-span vs. short-span implant-supported screw-retained fixed dental prostheses (FDPs) made from computer-aided-design/computer-aided-manufactured (CAD/CAM) titanium and veneered with ceramic. The null hypothesis was that there is no difference in the vertical microgap between long-span and short-span FDPs. MATERIALS AND METHODS CAD/CAM titanium frameworks for an implant-supported maxillary FDP on implants with a flat platform were fabricated on one single master cast. Group A consisted of six 10-unit FDPs connected to six implants (FDI positions 15, 13, 11, 21, 23, 25) and group B of six 5-unit FDPs (three implants, FDI positions 21, 23, 25). The CAD/CAM system from Biodenta Swiss AG (Berneck, Switzerland) was used for digitizing (laser scanner) the master cast and anatomical CAD of each framework separately. The frameworks were milled (CAM) from a titanium grade V monobloc and veneered with porcelain. Median vertical distance between implant and FDP platforms from the non-tightened implants (one-screw test on implant 25) was calculated from mesial, buccal, and distal scanning electron microscope measurements. RESULTS All measurements showed values <40 μm. Total median vertical microgaps were 23 μm (range 2-38 μm) for group A and 7 μm (4-24 μm) for group B. The difference between the groups was statistically significant at implant 21 (P = 0.002; 97.5% CI -27.3 to -4.9) and insignificant at implant 23 (P = 0.093; -3.9 to 1.0). CONCLUSIONS CAD/CAM fabrication including laboratory scanning and porcelain firing was highly precise and reproducible for all long- and short-span FDPs. While all FDPs showed clinically acceptable values, the short-span FDPs were statistically more precise at the 5-unit span distance.

Dentinhaftkraft zweier neuer CAD/CAM-Materialien in Abhängigkeit verschiedener adhäsiver Zementsysteme

Zielsetzung: Ziel der Studie war die Bestimmung der Dentinhaftkraft von zwei so-genannten Hybridmaterialien für computer-aided design/computer-aided manufacturing (CAD/CAM) Restaurationen unter Anwendung von fünf verschiedenen Zementen vor und nach sechsmonatiger Lagerung. Materialien und Methoden: Aus extrahierten menschlichen Molaren wurden 300 Dentinprobekörper hergestellt (n=15 pro Gruppe; 10 Gruppen (2 Hybridkeramiken, 5 Zemente) je nach 24 h/nach sechsmonatiger Lagerung). Aus Hybridkeramikblöcken von Lava Ultimate (3M ESPE) und VITA ENAMIC (VITA Zahnfabrik) wurden Zylinder hergestellt, welche standardisiert aufgeraut wurden. Anschliessend wurden die Hybrid-keramikzylinder mit einem der folgenden fünf Zemente auf die Dentinprobekörper zementiert: mit den Kompositzementen RelyX Ultimate (3M ESPE), PANAVIA F2.0 (Kuraray), Variolink II (Ivoclar Vivadent), els cem (Saremco Dental AG) oder als Negativkontrollgruppe mit dem kunststoffmodifizierten Glasionomerzement Ketac Cem Plus (3M ESPE). Die Dentinhaftkraft der Hybridkeramikzylinder wurde einerseits nach 24 h und andererseits nach sechsmonatiger Lagerung via Scherkrafttest bestimmt. Nach dem Scherkrafttest wurde das Bruchmuster unter einem Lichtmikroskop bei 40-facher Vergrösserung beurteilt. Die Dentinhaftkraftwerte wurden mittels nichtparametrischer ANOVA gefolgt von exakten Wilcoxon Rangsummen-Tests statistisch analysiert (α=0,05). Die Beurteilung des Bruchmusters wurde deskriptiv ausgewertet. Resultate: Für die Hybridkeramik Lava Ultimate und nach 24 h erzielten die Kompositzemente RelyX Ultimate und Variolink II die höchsten Dentinhaftkraftwerte. Die Dentinhaftkraftwerte von RelyX Ultimate und Variolink II unterschieden sich nicht signifikant. Die Dentinhaftkraftwerte von PANAVIA F2.0 unterschieden sich ebenfalls nicht signifikant von denjenigen von RelyX Ultimate, waren jedoch signifikant tiefer als diejenigen von Variolink II. Unter allen Kompositzementen erzielte els cem die tiefsten Dentinhaftkraftwerte. Nach sechsmonatiger Lagerung waren die Dentinhaftkraftwerte für RelyX Ultimate die höchsten, gefolgt von Variolink II, von els cem und anschliessend von PANAVIA F2.0, welcher nach sechsmonatiger Lagerung die tiefsten Dentinhaftkraftwerte der Kompositzemente zeigte. Der kunststoffmodifizierte Glasionomerzement Ketac Cem Plus zeigte sowohl nach 24 h als auch nach sechsmonatiger Lagerung die tiefsten Dentinhaftkraftwerte. Für VITA ENAMIC war die Reihenfolge der Zemente nach Dentinhaftkraft nach 24 h ähnlich wie diejenige nach sechsmonatiger Lagerung: Die Dentinhaftkraft war für RelyX Ultimate und Variolink II am höchsten, gefolgt von PANAVIA F2.0, von els cem und schlussendlich von Ketac Cem Plus mit den tiefsten Dentinhaftkraftwerten. Nach 24 h und für alle fünf Zemente unterschieden sich die Dentinhaftkraftwerte zwischen Lava Ultimate und VITA ENAMIC nicht signifikant. Nach sechsmonatiger Lagerung unterschieden sich die Dentinhaftkraftwerte zwischen Lava Ultimate und VITA ENAMIC ebenfalls nicht signifikant für RelyX Ultimate und els cem im Gegensatz zu den Dentinhaftkraftwerten von PANAVIA F2.0, Variolink II und Ketac Cem Plus, welche signifikant tiefer waren für Lava Ultimate als für VITA ENAMIC. Das häufigste Bruch-muster war für Lava Ultimate nach 24 h und für VITA ENAMIC sowohl nach 24 h als auch nach sechsmonatiger Lagerung adhäsiv zwischen Dentin und Zement. Nach sechs-monatiger Lagerung war für Lava Ultimate das häufigste Bruchmuster tendenziell gemischte Brüche. Schlussfolgerung: Basierend auf den Resultaten kann gesagt werden, dass für beide Hybridkeramiken sowohl RelyX Ultimate als auch Variolink II empfohlen werden können. PANAVIA F2.0 kann für VITA ENAMIC empfohlen werden, für Lava Ultimate allerdings weniger, da die Dentinhaftkraft nach sechsmonatiger Lagerung abnahm. Von einer konventionellen (allerdings nicht indizierten und in dieser Studie experimentellen) Zemen-tierung der beiden Hybridkeramiken mit dem kunststoffmodifizierten Glasionomerzement Ketac Cem Plus muss abgeraten werden.

Einfluss von Politursystemen auf Oberflächenrauigkeit und mechanische Eigenschaften von CAD/CAM-Materialien

Zielsetzung: Das Ziel dieser Studie war, den Einfluss von drei Politursystemen auf die Oberflächenrauigkeit von verschiedenen Materialien für computer-aided design/computer-aided manufacturing (CAD/CAM) Restaurationen mittels Profilometrie sowie die mikromechanischen Eigenschaften der Materialien mittels Mikrohärtemessgerät zu analysieren. Materialien und Methoden: Von dem CAD/CAM-Kompositmaterial Paradigm MZ100 (3M ESPE), der CAD/CAM-Feldspatkeramik VITABLOCS Mark II (VITA Zahnfabrik) und den CAD/CAM-Hybridmaterialien Lava Ultimate (3M ESPE), VITA ENAMIC (VITA Zahnfabrik) und AMBARINO High-Class (Creamed) wurden je 60 Prüfkörper zugeschnitten, gekennzeichnet und standardisiert aufgerauht. Die standardisierte Aufrauhung wurde mit Baseline-Rauigkeitsmessungen überprüft (Ra und Rz; µm). Die Prüfkörper wurden mit einem von drei Politursystemen poliert (n=20 pro CAD/CAM-Material): 1) Sof-Lex Scheiben (Disc-System, 3 Politurschritte: medium, fein und superfein; 3M ESPE), 2) VITA Polishing Set Clinical (Silikonpolitursystem, 2 Politurschritte: medium und fein; VITA Zahnfabrik) oder 3) KENDA Nobilis (Silikonpolierer, 1 Politurschritt (universal); KENDA Dental). Nach Politur der Prüfkörper wurden Ra und Rz sowie die mikromechanischen Eigenschaften Oberflächenhärte (VHN; Vickers Härte) und Elastizitätsmodul (EM; GPa) gemessen. In den darauf folgenden sechs Monaten wurden die Prüfkörper in Leitungswasser gelagert und insgesamt sechs Mal einem maschinellem Zahnbürsten zugeführt. Anschliessend wurden erneut Ra und Rz sowie VHN und EM gemessen. Ra-, Rz-, VHN- und EM-Werte wurden mittels nichtparametrischer ANOVA global analysiert und die p-Werte mittels Bonferroni-Holm Korrektur für multiples Testen korrigiert. Als post-hoc Tests wurden Kruskal-Wallis-Tests sowie exakte Wilcoxon Rangsummen-Tests verwendet und die p-Werte wurden nicht korrigiert. Das Signifikanzniveau wurde auf α=0,05 festgelegt. Resultate: Für alle drei CAD/CAM-Hybridmaterialien ergaben Sof-Lex Scheiben nach der Politur die tiefste Oberflächenrauigkeit (d. h. die tiefsten Ra- und Rz-Werte), gefolgt von KENDA Nobilis und von dem VITA Polishing Set Clinical. Bei dem CAD/CAM-Kompositmaterial sowie bei der CAD/CAM-Feldspatkeramik ergaben Sof-Lex Scheiben und KENDA Nobilis ähnliche Resultate, gefolgt von dem VITA Polishing Set Clinical. Bei einigen CAD/CAM-Materialien zeigten sich – zum Teil in Abhängigkeit des Politursystems – nach maschinellem Zahnbürsten und Lagerung signifikant höhere Ra- und Rz-Werte. Die CAD/CAM-Materialien zeigten unabhängig des Politursystems und der Lagerung signifikant verschiedene VHN- und EM-Werte. Bei einigen CAD/CAM-Materialien zeigten sich – zum Teil ebenfalls in Abhängigkeit des Politursystems – nach maschinellem Zahn-bürsten und Lagerung signifikant tiefere VHN- und EM-Werte. Schlussfolgerungen: Die Wahl des Politursystems beeinflusste die Oberflächenrauigkeit der CAD/CAM-Materialien markant, wobei Sof-Lex Scheiben insgesamt die besten Politurresultate zeigten, gefolgt von dem Silikonpolierer KENDA Nobilis. Von der Verwendung des Silikonpolitursystems VITA Polishing Set Clinical muss eher abgeraten werden. Das CAD/CAM-Kompositmaterial Paradigm MZ100 und die CAD/CAM-Hybridmaterialien Lava Ultimate und AMBARINO High-Class als weichere und elastischere Materialien liessen sich insgesamt besser polieren, waren aber bezüglich mechanischer Eigenschaften anfälliger auf Lagerung als die härtere CAD/CAM-Feldspatkeramik VITABLOCS Mark II und das CAD/CAM-Hybridmaterial VITA ENAMIC.

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep learning techniques have recently achieved impressive results in a variety of computer vision problems, raising expectations that they might be applied in other domains, such as medical image analysis. In this paper, we propose and evaluate a convolutional neural network (CNN), designed for the classification of ILD patterns. The proposed network consists of 5 convolutional layers with 2×2 kernels and LeakyReLU activations, followed by average pooling with size equal to the size of the final feature maps and three dense layers. The last dense layer has 7 outputs, equivalent to the classes considered: healthy, ground glass opacity (GGO), micronodules, consolidation, reticulation, honeycombing and a combination of GGO/reticulation. To train and evaluate the CNN, we used a dataset of 14696 image patches, derived by 120 CT scans from different scanners and hospitals. To the best of our knowledge, this is the first deep CNN designed for the specific problem. A comparative analysis proved the effectiveness of the proposed CNN against previous methods in a challenging dataset. The classification performance (~85.5%) demonstrated the potential of CNNs in analyzing lung patterns. Future work includes, extending the CNN to three-dimensional data provided by CT volume scans and integrating the proposed method into a CAD system that aims to provide differential diagnosis for ILDs as a supportive tool for radiologists.

Artificial Neural Nets with Interaction of Afferents

The aim is to obtain computationally more powerful, neuro physiologically founded, artificial neurons and neural nets. Artificial Neural Nets (ANN) of the Perceptron type evolved from the original proposal by McCulloch an Pitts classical paper [1]. Essentially, they keep the computing structure of a linear machine followed by a non linear operation. The McCulloch-Pitts formal neuron (which was never considered by the author’s to be models of real neurons) consists of the simplest case of a linear computation of the inputs followed by a threshold. Networks of one layer cannot compute anylogical function of the inputs, but only those which are linearly separable. Thus, the simple exclusive OR (contrast detector) function of two inputs requires two layers of formal neurons

Dendritic-Like Reliable Computation in Artificial Neurons

Dendritic computation is a term that has been in neuro physiological research for a long time [1]. It is still controversial and far for been clarified within the concepts of both computation and neurophysiology [2], [3]. In any case, it hasnot been integrated neither in a formal computational scheme or structure, nor into formulations of artificial neural nets. Our objective here is to formulate a type of distributed computation that resembles dendritic trees, in such a way that it shows the advantages of neural network distributed computation, mostly the reliability that is shown under the existence of holes (scotomas) in the computing net, without ?blind spots?.