#dicom

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꒰ ˀˀ ↷ ateez ; dicom ”♡ᵎ ꒱

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Correcting the Skull 20th February 2017

We then exported the file as an STL and imported it into 3DS Max, due to lack of data at some points, there were some issues with some surfaces so we needed to correct these.

To correct inverted normals and areas that were devoid of information we used a combination of Z-Brush and 3DS Max. Essentially we designed implants in 3DS Max to cover the errored surfaces then imported them into Z Brush and smoothed the implants into the model. Very similar to the process that would be used to create 3D implants for real fractured skulls.  

[xxcapuccino]

⊰ ✧ ⊱ ;

                Los dedos de Daiki hicieron una firme amarra entre el delgado tronco de ese incipiente árbol y la ramita que encontró. Ese árbol habría sido un alto roble si no lo hubiesen roto descuidadamente en un arrebato, normalmente no mostraba resentimiento hacía los humanos e incluso se mostraba amigable con quienes visitaban su santuario.

    Sin embargo, esto muchas veces no podía tolerarse. Pero ya no podía castigar a nadie, los culpables ya no estaban y ahora él debía reparar el daño.

Los ojos del guardián se empañaron mientras seguía fortaleciendo el delgado árbol.

[3mbicv-blog]

The completed Skull from MRI Data 21st February 2017

The above images show the completed printed skull based on MRI data. As you can see it is very detailed. In addition, it has been printed life size 1/1 scale. We chose bone to print from the MRI data, however, as previously stated you could select whatever tissue density you wished.

The image shows two different prints the one on the left is an SLS powder-print which is composed of a nylon powder (pa2200 polyamide) printed on our main machine EOS p110. The image on the right is an FDM print from the latest generation of MakerBot printers using PLA (polylactic acid).      As you can see the SLS has greater detail, however, it is an impressive FDM print which took 50+ hours to complete and shows the advancement in FDM printers.      

The Skull is not only a great showcase for 3D printing but also how 3D design could be incorporated into the medical industry, for example, if doctors could view MRI data in 3D it could give them a greater understanding of the patient's ailments and would refine the process of reconstructive surgery.  

Within the specific field of macular- facial reconstruction, a patient would benefit greatly from the process we have demonstrated (translating their MRI/ CT scan data into a 3D form). A surgeon could manipulate data in 3D and would, therefore, be able to ascertain better information about the patient's specific injury and how best to make a facsimile of the undamaged or healthy side of the face in order to heal the injured side.      

We have enjoyed doing this project and are very happy with the result. Let us know your thoughts and feedback on this project.  

[3mbicv-blog]

Converting the MRI data files to  3D Files 19th February 2017

Continuing from our project to print a colleague’s skull we had to convert the raw data from the MRI (DICOM data) to a 3D printable file. To do this we used a free software called OsiriX, which compiles all of the layers of the scan and creates a 3D model. Using this software, you can choose parts of the scan determined by the tissue density i.e. bone muscle skin or vascular.

[deluciaclemente]

Lo Studio Display XDR Diventa un Dispositivo Medico Certificato

In una mossa che consolida ulteriormente la presenza di Apple nel settore enterprise e della salute, lo Studio Display XDR ha ufficialmente ottenuto la certificazione FDA come dispositivo di Classe II per la radiologia diagnostica. Questa approvazione permette ai medici e ai radiologi di utilizzare il display da $2,899 per visualizzare immagini mediche critiche come raggi X, risonanze magnetiche…

Lo Studio Display XDR Diventa un Dispositivo Medico Certificato

[vcdoctor]

The Importance of DICOM Viewer in Healthcare

In the past decades, the healthcare sector has seen its peak in the very short run. It not only became technically adept in dealing with new wearable technologies but also contributed many high-profile services in the meantime. One of the pioneer services the healthcare sector has put to sea is DICOM. Now, all the readers are contemplating what DICOM Viewer is in healthcare and how it works. Well, the answer is well explained in the article.

What is DICOM Viewer in Healthcare?

DICOM stands for Digital Imaging and Communications in Medicine. These are some sort of images needed for the exchange of information on health grounds. It has positively consumed the healthcare industry and made patient care more promising.

Digital Imaging and Communication in Medicine is abbreviated as DICOM. It is a global protocol to be followed while exchanging medical information. The data are generally shared in image formats. The protocol defines the file format, which is either a DCM or DCM30 (DCM3.0) file extension. 

Radiant DICOM viewer is deployed everywhere in medical lines where data can be exchanged in image formats such as MRI, CT, X-ray, Ultrasound, Camera, etc. Therefore, DICOM makes sure that all the medical equipment deployed at the clinics, medical imaging centres, and hospitals will work in parallel and will deliver medical images accurately.

Why is DICOM Viewer Important?

With the rapid growth in the acceptance of technology in the healthcare sector, DICOM proved to be the pioneer tool for handling information from prominent technologies like CT scanners, MRI, Ultrasound, etc. But neither of the above paragraphs describes the utility of DICOM in healthcare. Hence, our team has congregated some points which beautifully explain the imperatives of DICOM in the Healthcare Industry:

1. Compliance

MPPS service imparts legal compliance and quality control when using DICOM. It tracks and maintains radiation information, among other things. The system was originally crafted for medical practitioners who want to execute an accurate plan of dosage for radiation therapy.

Read Also: Health Insurance Portability and Accountability Act (HIPAA) Compliance

2. Workflows

It has refined the workflows and allows a medical practitioner to obtain some hope and promising results from the reports originating from DICOM. It also helped in various activities like:

Procedure Scheduling

Exposure Duration

Accurate Reporting, etc. 

3. Diagnosis

The traditional image formats, i.e, JPEG and TIFF, do not give patient information and procedures adopted, hence, these are not useful at all. DICOM service includes relevance in the patient info, examination, equipment utilized, etc. This is why it is important in the medical stream.

4. Data Accuracy

Data accuracy is offered in a single side of data entry, which remains at the acquisition equipment endpoint. DICOM sets a protocol that enables acquisition operators to make precise decisions relying on correct details in the name of MPPS messages. The map’s message also transfers exceptions and error messages, and automatically alerts other systems and users about errors.

5. Administration

The maps are the regulatory body here and gather information, which makes it easy to report and understand. The information includes:

Consumables like film

Devices

Supplies

Automated Billing

Inventory Management

Original Source: The Importance of DICOM Viewer in Healthcare: An Overview

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🖤 Beyond DICOM: Unlocking True Imaging Interoperability 🖤 Medical imaging is one of healthcare’s most powerful tools — but without true interoperability, its full potential remains locked away. Today’s challenges: 🧗 Imaging data trapped in different formats & vendor silos 🧗 Missing connections between imaging & other clinical data 🧗 Regulatory complexity slowing data sharing & innovation Yes, DICOM revolutionized imaging standardization — but as imaging grows more complex and multimodal, we need to go further. True standardization must also include: ✅ Metadata ✅ Clinical context ✅ Annotations … so imaging can integrate seamlessly with EHRs, genomics, lab data, and more. 🖤 At Segmed, our Real-World Imaging Data (RWiD) platform delivers: ✅ Multi-modal data integration: Imaging + EHRs + genomics + lab results ✅ Regulatory-grade & privacy-preserving datasets ✅ Standardized, interoperable imaging ready for AI, clinical trials, and RWE studies 🖤 When imaging data becomes interoperable, we accelerate: ✅ AI model development ✅ Clinical trial optimization ✅ Personalized medicine ✅ Global collaboration 🔗 Read the full blog to see why going beyond DICOM is the key to advancing patient care and innovation: https://www.segmed.ai/resources/blog/medical-imaging-standards-beyond-dicom-explained