scholarly journals Virtual Prototyping: Computational Device Placements within Detailed Human Heart Models

2019 ◽  
Vol 10 (1) ◽  
pp. 175
Author(s):  
Alex J. Deakyne ◽  
Tinen L. Iles ◽  
Alexander R. Mattson ◽  
Paul A. Iaizzo
Keyword(s):  
Anatomical Study ◽  
3D Models ◽  
Anatomical Models ◽  
Cardiac Tissues ◽  
Patient Demographics ◽  
Wide Range ◽  
Specific Device ◽  
Mri Scans ◽  
3D Printed ◽  
Magnetic Resonance Imaging Mri

Data relative to anatomical measurements, spatial relationships, and device–tissue interaction are invaluable to medical device designers. However, obtaining these datasets from a wide range of anatomical specimens can be difficult and time consuming, forcing designers to make decisions on the requisite shapes and sizes of a device from a restricted number of specimens. The Visible Heart® Laboratories have a unique library of over 500 perfusion-fixed human cardiac specimens from organ donors whose hearts (and or lungs) were not deemed viable for transplantation. These hearts encompass a wide variety of pathologies, patient demographics, surgical repairs, and/or interventional procedures. Further, these specimens are an important resource for anatomical study, and their utility may be augmented via generation of 3D computational anatomical models, i.e., from obtained post-fixation magnetic resonance imaging (MRI) scans. In order to optimize device designs and procedural developments, computer generated models of medical devices and delivery tools can be computationally positioned within any of the generated anatomical models. The resulting co-registered 3D models can be 3D printed and analyzed to better understand relative interfaces between a specific device and cardiac tissues within a large number of diverse cardiac specimens that would be otherwise unattainable.

Custom Patient-Specific Three-Dimensional Printed Mitral Valve Models for Pre-Operative Patient Education Enhance Patient Satisfaction and Understanding

2019 ◽  
Vol 13 (3) ◽  
Author(s):  
Kay S. Hung ◽  
Michael J. Paulsen ◽  
Hanjay Wang ◽  
Camille Hironaka ◽  
Y. Joseph Woo
Keyword(s):  
Patient Education ◽  
Mitral Valve ◽  
Three Dimensional ◽  
3D Models ◽  
Patient Specific ◽  
Imaging Data ◽  
Anatomical Models ◽  
Mitral Valves ◽  
Flexible Polymer ◽  
3D Printed

In recent years, advances in medical imaging and three-dimensional (3D) additive manufacturing techniques have increased the use of 3D-printed anatomical models for surgical planning, device design and testing, customization of prostheses, and medical education. Using 3D-printing technology, we generated patient-specific models of mitral valves from their pre-operative cardiac imaging data and utilized these custom models to educate patients about their anatomy, disease, and treatment. Clinical 3D transthoracic and transesophageal echocardiography images were acquired from patients referred for mitral valve repair surgery and segmented using 3D modeling software. Patient-specific mitral valves were 3D-printed using a flexible polymer material to mimic the precise geometry and tissue texture of the relevant anatomy. 3D models were presented to patients at their pre-operative clinic visit and patient education was performed using either the 3D model or the standard anatomic illustrations. Afterward, patients completed questionnaires assessing knowledge and satisfaction. Responses were calculated based on a 1–5 Likert scale and analyzed using a nonparametric Mann–Whitney test. Twelve patients were presented with a patient-specific 3D-printed mitral valve model in addition to standard education materials and twelve patients were presented with only standard educational materials. The mean survey scores were 64.2 (±1.7) and 60.1 (±5.9), respectively (p = 0.008). The use of patient-specific anatomical models positively impacts patient education and satisfaction, and is a feasible method to open new opportunities in precision medicine.

scholarly journals The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine

F1000Research ◽  
2018 ◽  
Vol 6 ◽  
pp. 1603
Author(s):  
Jagannadha Avasarala ◽  
Todd Pietila
Keyword(s):  
Multiple Sclerosis ◽  
Neurological Diseases ◽  
3D Models ◽  
Patient Specific ◽  
Surface Rendering ◽  
Reconstruction Algorithms ◽  
Imaging Data ◽  
Surgical Options ◽  
3D Printed ◽  
Magnetic Resonance Imaging Mri

Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient’s brain stricken with multiple sclerosis (MS) in 3D using 2D images has not been attempted.  Using 3D reconstruction algorithms, we built a 3D printed patient-specific brain model to scale. It is a first of its kind model that depicts the total white matter lesion (WML) load using T2 FLAIR images in an MS patient. The patient’s images in Digital Imaging and Communications in Medicine (DICOM) format were imported into Mimics inPrint 2.0 (Materialise NV, Leuven, Belgium) a dedicated medical image processing software designed for the purposes of image segmentation and 3D modeling.  The imported axial images were automatically formatted to display coronal and sagittal slices within the software. The imaging data were then segmented into regions and surface rendering was done to achieve 3D virtual printable files of the desired structures of interest. Rendering brain tumor(s) in 3D has been attempted with the specific intent of extending the options available to a surgeon but no study to our knowledge has attempted to quantify brain disease in MS that has, for all practical purposes, no surgical options. The purpose of our study was to demonstrate that 3D depiction of chronic neurological diseases is possible in a printable model while serving a fundamental need for patient education. Medical teaching is moored in 2D graphics and it is time to evolve into 3D models that can be life-like and deliver instant impact.

scholarly journals Angle of approach to the superior rotator cuff of arthroscopic instruments depends on the acromial morphology: an experimental study in 3D printed human shoulders

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Menduri Hoessly ◽  
Samy Bouaicha ◽  
Thorsten Jentzsch ◽  
Dominik C. Meyer
Keyword(s):  
Rotator Cuff ◽  
3D Models ◽  
Bony Landmarks ◽  
Key Factor ◽  
Mri Scans ◽  
3D Printed ◽  
Cuff Repair ◽  
Scapular Body ◽  
Shoulder Angle ◽  
Ct And Mri

Abstract Background Portal placement is a key factor for the success of arthroscopic procedures, particularly in rotator cuff repair. We hypothesize that the acromial anatomy may strongly determine the position of the shoulder bony landmarks and limit the surgeon’s freedom to position the arthroscopic approaches in direction towards the acromion. The purpose of this study was to analyze the relation between different acromial shapes and the freedom of movement of arthroscopic instruments relative to the rotator cuff from standardized arthroscopic portals in a laboratory study on 3D shoulder models. Methods 3D models of shoulders with a broad range of different acromial shapes were printed using CT and MRI scans. Angles from the portals to defined points on the rotator cuff and the supraglenoid tubercle were measured. In conventional radiographs, the critical shoulder angle, the scapular body acromial angle, and the glenoid acromial angle were measured and compared with the measured angles to the rotator cuff. Results There was a large variation of angles of approach of instruments to the rotator cuff between the seven shoulders for each portal. From the joint line portal and the posterior edge portal, the biggest angles were measured to the posterior cuff. From the intermediate portal, the angles were largest to the intermediate rotator cuff and from the anterior portals to the anterior cuff. To the supraglenoid tubercle, best access was from anterior. For all portals, there was a big correlation between the glenoid acromial angle and the scapular body acromial angle with the angles of approach to the tendon and especially to the supraglenoid tubercle. Conclusion The access to the rotator cuff from almost every portal is influenced by the acromial shape. As hypothesized, a small (small GAA) and flat (big SBAA) acromion provide an easier approach to the rotator cuff from almost every portal. Therefore, it may severely influence the instruments maneuverability.

scholarly journals Improving radiologists’ and orthopedists’ QoE in diagnosing lumbar disk herniation using 3D modeling

2021 ◽  
Vol 11 (5) ◽  
pp. 4336
Author(s):  
Sanaa Abu Alasal ◽  
Mohammad Alsmirat ◽  
Asma’a Al-Mnayyis ◽  
Qanita Bani baker ◽  
Mahmoud Al-Ayyoub
Keyword(s):  
3D Models ◽  
Intervertebral Disk ◽  
Disk Herniation ◽  
Lumbar Disk Herniation ◽  
Area Of Interest ◽  
Mri Scans ◽  
Diagnosis Accuracy ◽  
Magnetic Resonance Imaging Mri ◽  
Lumbar Intervertebral Disk

<p>This article studies and analyzes the use of 3D models, built from magnetic resonance imaging (MRI) axial scans of the lumbar intervertebral disk, that are needed for the diagnosis of disk herniation. We study the possibility of assisting radiologists and orthopedists and increasing their quality of experience (QoE) during the diagnosis process. The main aim is to build a 3D model for the desired area of interest and ask the specialists to consider the 3D models in the diagnosis process instead of considering multiple axial MRI scans. We further propose an automated framework to diagnose the lumber disk herniation using the constructed 3D models. We evaluate the effectiveness of increasing the specialists QoE by conducting a questionnaire on 14 specialists with different experiences ranging from residents to consultants. We then evaluate the effectiveness of the automated diagnosis framework by training it with a set of 83 cases and then testing it on an unseen test set. The results show that the the use of 3D models increases doctors QoE and the automated framework gets 90% of diagnosis accuracy.</p>

scholarly journals The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine

F1000Research ◽  
2018 ◽  
Vol 6 ◽  
pp. 1603
Author(s):  
Jagannadha Avasarala ◽  
Todd Pietila
Keyword(s):  
Multiple Sclerosis ◽  
Neurological Diseases ◽  
3D Models ◽  
Patient Specific ◽  
Surface Rendering ◽  
Reconstruction Algorithms ◽  
Imaging Data ◽  
Surgical Options ◽  
3D Printed ◽  
Magnetic Resonance Imaging Mri

Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient’s brain stricken with multiple sclerosis (MS) in 3D using 2D images has not been attempted.  Using 3D reconstruction algorithms, we built a 3D printed patient-specific brain model to scale. It is a first of its kind model that depicts the total white matter lesion (WML) load using T2 FLAIR images in an MS patient. The patient’s images in Digital Imaging and Communications in Medicine (DICOM) format were imported into Mimics inPrint 2.0 (Materialise NV, Leuven, Belgium) a dedicated medical image processing software designed for the purposes of image segmentation and 3D modeling.  The imported axial images were automatically formatted to display coronal and sagittal slices within the software. The imaging data were then segmented into regions and surface rendering was done to achieve 3D virtual printable files of the desired structures of interest. Rendering brain tumor(s) in 3D has been attempted with the specific intent of extending the options available to a surgeon but no study to our knowledge has attempted to quantify brain disease in MS that has, for all practical purposes, no surgical options. The purpose of our study was to demonstrate that 3D depiction of chronic neurological diseases is possible in a printable model while serving a fundamental need for patient education. Medical teaching is moored in 2D graphics and it is time to evolve into 3D models that can be life-like and deliver instant impact.

Development of a patients-specific 3D-printed preoperative planning and training tool, with functionalized internal surfaces, for complex oncologic cases

2019 ◽  
Vol 25 (2) ◽  
pp. 363-377 ◽  
Author(s):  
Asier Muguruza Blanco ◽  
Lucas Krauel ◽  
Felip Fenollosa Artés
Keyword(s):  
3D Printing ◽  
Preoperative Planning ◽  
Low Cost ◽  
Hepatic Metastases ◽  
Value Added ◽  
3D Models ◽  
Anatomical Models ◽  
Anatomical Model ◽  
Content Type ◽  
3D Printed

Purpose The use of physical 3D models has been used in the industry for a while, fulfilling the function of prototypes in the majority of cases where the designers, engineers and manufacturers optimize their designs before taking them into production. In recent years, there has been an increasing number of reports on the use of 3D models in medicine for preoperative planning. In some highly complex surgeries, the possibility of using printed models to previously perform operations can be determining in the success of the surgery. With the aim of providing new functionalities to an anatomical 3D-printed models, in this paper, a cost-effective manufacturing process has been developed. A set of tradition of traditional techniques have been combined with 3D printing to provide a maximum geometrical freedom to the process. By the use of an electroluminescent set of functional paints, the tumours and vessels of the anatomical printed model have been highlighted, providing to this models the possibility to increase its interaction with the surgeon. These set of techniques has been used to increase the value added to the reproduced element and reducing the costs of the printed model, thus making it more accessible. Design/methodology/approach Successfully case in where the use of a low-cost 3D-printed anatomical model was used as a tool for preoperative planning for a complex oncological surgery. The said model of a 70-year-old female patient with hepatic metastases was functionalized with the aim of increasing the interaction with the surgeons. The analysis of the construction process of the anatomical model based on the 3D printing as a tool for their use in the medical field has been made, as well as its cost. Findings The use of 3D printing in the construction of anatomical models as preoperative tools is relatively new; however, the functionalization of these tools by using conductive and electroluminescent materials with the aim of increasing the interaction with it by the surgeons is a novelty. And, based on the DIY principles, it offers a geographical limitlessness, reducing its cost without losing the added value. Originality/value The process based on 3D printing presented in this paper allows to reproduce low-cost anatomical models by following a simple sequence of steps. It can be done by people with low qualification anywhere with only access to the internet and with the local costs. The interaction of these models with the surgeon based on touch and sight is much higher, adding a very significant value it, without increasing its cost.

scholarly journals Open-source, 3D-printed, high-pressure (50 bar) liquid-nitrogen-cooled <i>para</i>-hydrogen generator

2020 ◽  
Author(s):  
Frowin Ellermann ◽  
Andrey Pravdivtsev ◽  
Jan-Bernd Hövener
Keyword(s):  
Magnetic Resonance Imaging ◽  
Open Source ◽  
Nuclear Polarization ◽  
Low Cost ◽  
3D Models ◽  
Para Hydrogen ◽  
Resonance Imaging ◽  
Hydrogen Generator ◽  
3D Printed ◽  
Magnetic Resonance Imaging Mri

Abstract. The signal of magnetic resonance imaging (MRI) can be enhanced by several orders of magnitude using hyperpolarization. In comparison to a broadly used Dynamic Nuclear Polarization (DNP) technique that is already used in clinical trials, the para-hydrogen (pH2) based hyperpolarization approaches are less cost-intensive, scalable and offer high throughput. However, a pH2 generator is necessary. Available commercial pH2 generators are relatively expensive (10,000–150,000 €). To facilitate the spread of pH2 hyperpolarization studies, here, we provide the blueprints and 3D-models as open-source for a low-cost (

scholarly journals Open-source, partially 3D-printed, high-pressure (50-bar) liquid-nitrogen-cooled parahydrogen generator

2021 ◽  
Vol 2 (1) ◽  
pp. 49-62
Author(s):  
Frowin Ellermann ◽  
Andrey Pravdivtsev ◽  
Jan-Bernd Hövener
Keyword(s):  
Magnetic Resonance Imaging ◽  
High Pressure ◽  
Open Source ◽  
Liquid Nitrogen ◽  
Nuclear Polarization ◽  
Low Cost ◽  
3D Models ◽  
Resonance Imaging ◽  
3D Printed ◽  
Magnetic Resonance Imaging Mri

Abstract. The signal of magnetic resonance imaging (MRI) can be enhanced by several orders of magnitude using hyperpolarization. In comparison to a broadly used dynamic nuclear polarization (DNP) technique that is already used in clinical trials, the parahydrogen (pH2)-based hyperpolarization approaches are less cost-intensive, are scalable, and offer high throughput. However, a pH2 generator is necessary. Available commercial pH2 generators are relatively expensive (EUR 10 000–150 000). To facilitate the spread of pH2-based hyperpolarization studies, here we provide the blueprints and 3D models as open-source for a low-cost (EUR <3000) 50-bar liquid-nitrogen-cooled pH2 generator.

Role of Cardiac MRI in Detecting Familial Hypertrophic Cardiomyopathy: Review

2016 ◽  
Vol 1 (1) ◽  
pp. 4
Author(s):  
Marymol Koshy ◽  
Bushra Johari ◽  
Mohd Farhan Hamdan ◽  
Mohammad Hanafiah
Keyword(s):  
Hypertrophic Cardiomyopathy ◽  
Magnetic Resonance ◽  
Genetic Disorder ◽  
Familial Hypertrophic Cardiomyopathy ◽  
Non Invasive ◽  
Wide Range ◽  
Proper Diagnosis ◽  
Magnetic Resonance Imaging Mri ◽  
Potential Use

Hypertrophic cardiomyopathy (HCM) is a global disease affecting people of various ethnic origins and both genders. HCM is a genetic disorder with a wide range of symptoms, including the catastrophic presentation of sudden cardiac death. Proper diagnosis and treatment of this disorder can relieve symptoms and prolong life. Non-invasive imaging is essential in diagnosing HCM. We present a review to deliberate the potential use of cardiac magnetic resonance (CMR) imaging in HCM assessment and also identify the risk factors entailed with risk stratification of HCM based on Magnetic Resonance Imaging (MRI).

scholarly journals Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1021
Author(s):  
Bernhard Dorweiler ◽  
Pia Elisabeth Baqué ◽  
Rayan Chaban ◽  
Ahmed Ghazy ◽  
Oroa Salem
Keyword(s):  
Wall Thickness ◽  
Large Scale ◽  
Fused Deposition Modeling ◽  
Vascular Anatomy ◽  
3D Models ◽  
Patient Specific ◽  
Stl File ◽  
Fused Deposition ◽  
3D Printed ◽  
The Mean

As comparative data on the precision of 3D-printed anatomical models are sparse, the aim of this study was to evaluate the accuracy of 3D-printed models of vascular anatomy generated by two commonly used printing technologies. Thirty-five 3D models of large (aortic, wall thickness of 2 mm, n = 30) and small (coronary, wall thickness of 1.25 mm, n = 5) vessels printed with fused deposition modeling (FDM) (rigid, n = 20) and PolyJet (flexible, n = 15) technology were subjected to high-resolution CT scans. From the resulting DICOM (Digital Imaging and Communications in Medicine) dataset, an STL file was generated and wall thickness as well as surface congruency were compared with the original STL file using dedicated 3D engineering software. The mean wall thickness for the large-scale aortic models was 2.11 µm (+5%), and 1.26 µm (+0.8%) for the coronary models, resulting in an overall mean wall thickness of +5% for all 35 3D models when compared to the original STL file. The mean surface deviation was found to be +120 µm for all models, with +100 µm for the aortic and +180 µm for the coronary 3D models, respectively. Both printing technologies were found to conform with the currently set standards of accuracy (<1 mm), demonstrating that accurate 3D models of large and small vessel anatomy can be generated by both FDM and PolyJet printing technology using rigid and flexible polymers.

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