SlideShare a Scribd company logo
1 of 21
VIRTOPSYV I R T U A L A U T O P S Y
BY
LOKESHWARI.V(15MCA14)
ASHA.V(15MCA03)
INTRODUCTION
• Virtopsy is a term that came from virtual autopsy.
• It was developed by Richard Dirnhofer, former director of Forensic Medicine, Berne,
Switzerland.
• Originated in mid 1990’s.
• It is a scalpel free procedure to carry out autopsy using medical imaging techniques.
AUTOPSY V/S VIRTOPSY
AUTOPSY
• Thorough examination of corpse
through dissection.
• Types of autopsy:
– Medico-legal Autopsy
– Clinical Autopsy
– Anatomical Autopsy
• Second opinion is not possible as it
would have damaged some of the
parts.
VIRTOPSY
• Alternate method for much safer
procedure as it is a blood less
procedure.
• Techniques used are:
– Robot guided 3D surface scanning
– Multi-Slice Computed
Tomography(MSCT)
– Post mortem Angiography
• The findings of virtopsy are in digital
format.
• Second opinion of any expert is possible
even if the body is cremated
TECHNIQUES IN VIRTOPSY
• 3D Surface Scan
• photogrammetry
• Multi-Slice Computed Tomography [MSCT]
• Magnetic Resonance Imaging [MRI]
• Radiography
• Angiography
3D SURFACE SCAN
• A 3D surface scan takes pictures of the patient to provide a visual record of the
condition.
• The images are taken in a booth that includes several cameras.
• These cameras are positioned to obtain photographs from multiple angles of the
anatomy under consideration.
• This may involve the face,the entire head ,the torso or the whole body.
• The images are then combined to create a photorealistic 3-D static image of the
patient.
PHOTOGRAMMETRY
• The photographic projection in a camera can be described mathematically as central
projection
of the object onto the plane.
• Every single object is mapped in an image point ,which is the intersection point of the
projection beam and the image plane.
MULTI-SLICE COMPUTED TOMOGRAPHY
[MSCT]
• The full-body multislice computed tomography (MSCT) was performed for study of
bone lesions and cause of death.
• MSCT was superior to autopsy in diagnosis of traumatic bone lesions and also
revealed dental anomalies and signs of drowning.
MAGNETIC RESONANCE IMAGING [MRI]
• Magnetic resonance imaging (MRI) is another non-ionising technique available for
forensic analysis.
• It is much less extensive compared to ionising approaches.
• It is more frequently applied in cases involving living individuals.
• It is primarily used in relation to the estimation of skeletal age, and for the specific
purpose of the determination of legal culpability.
RADIOGRAPHY• Radiography is an imaging technique using X-rays to view the internal structure of an
object.
• To create the image, a beam of X-rays, a form of electromagnetic radiation, is
produced by an X-ray generator and is projected toward the object.
• The X-rays that pass through the object are captured behind the object by
a detector (either photographic film or a digital detector).
• A certain amount of X-ray is absorbed by the object, dependent on its density and
composition.
ANGIOGRAPHY
• Angiography is the use of fluoroscopy to view the cardiovascular system.
• An iodine-based contrast is injected into the bloodstream and watched as it travels
around.
• Since liquid blood and the vessels are not very dense, a contrast with high density (like
the large iodine atoms) is used to view the vessels under X-ray.
• Angiography is used to find aneurysms, leaks, blockages (thromboses), new vessel
growth, and placement of catheters and stents.
Angiogram showing a transverse projection of
the vertebro basilar and posterior cerebral
circulation.
PROCEDURE OF VIRTOPSY
• It uses combination of techniques like 3D surface scan, Photogrammetry & MRI scan.
• It uses a robotic machine called “VIRTIBOT”.
• Small disks along the exterior of the body is placed. Using Virtibot 3D color model of
the corpse is created. The robot moves over the body creating 3D image for about 10s.
• Then the body is placed inside a blue bag which prevents from contamination and
helps x-rays to pass easily is scanned using MRI, CT MRS equipment. The body
undergoes CT scan that finishes in 20s and acquires up to 25,000 images. Each image
is cut through or slice of the body.
• Within 10 minutes the detailed image of tissue, bone are reconstructed using powerful
desktop computers.
• With the click of mouse, the pathologist can peel through the layers of virtual skin and
muscle.
IMPLEMENTATION
• The reconstruction of 2-D images can be performed with a Filtered Back-Projection (FBP)
type reconstruction and an iterative Ordered Subset Convex (OSC) maximum-likelihood
method
• A special software is used to simulate transmission tomography scans with different signal-
to-noise ratios (SNR)
• The noise and modulation transfer function is calculated for FBP and OSC reconstruction at
several positions, distributed over the field-of-view (FOV)
• The OSC method achieves a lower level of noise compared with FBP at the same resolution
• The reconstruction with OSC can save a factor of up to nine of x-ray dose compared with
FBP in the investigated range of noise levels
• The OSC algorithm was modified so it calculates the normalization term before the iterative
process to save computational cost. The modified version requires only one back projection
per iteration as compared to two required for the original OSC
• The OSC algorithm updates all estimates of the attenuation coefficients µn
s+1 (k)
– Yi represents the measured transmission counts in bin i
– di represents the blank scan counts in bin i
– lij is the length of projection line i through voxel j
– S(s) contains the projections in subset s
• Transmission images were reconstructed with the OSC algorithm using 50, 125 and
250 subsets
• They were compared with images reconstructed with the standard convex algorithm
serving as the ‘gold standard’
• The N subsets were chosen such that the angles θ between the n projections in each
subset were equal (θ = 2π/n)
• The order in which the subsets were used during each iteration of OSC was-
Δθ ∈ {0, 1.2π/N.n, 2.2π/N.n, . . . , (N − 1).2π/N.n} between s+1 & s
• Angular difference Δθ was as close as possible to the centre of the largest angular
gap of projection angles that had not yet been processed in the current OSC iteration
(Δθ as close as possible to π/n)
USES OF VIRTOPSY
• Time of death.
• Identification of individuals.
• Determination of age and sex of individual.
• Death due to burns.
• Manual strangulation or hanging.
• Road traffic accidents.
CONCLUSION
Autopsy has its merits but virtopsy has futuristic advancements that provide
privacy to deceased family. At the present virtopsy cannot replace conventional autopsy
since it is a new development in the field of investigation of death.
REFERENCES
• http://www.sciencedirect.com/science/article/pii/S2090536X16300211
• http://medind.nic.in/jal/t14/i2/jalt14i2p195.pdf
• https://www.wired.com/2012/10/virtual-autopsy-2/
• http://journal.opus12.org/o12-ojs/ojs-2.1.1/index.php/o12sci/article/viewFile/249/75
• https://link.springer.com/chapter/10.1007%2F978-90-481-8990-8_9
THANK YOU

More Related Content

What's hot

Forensic medicine (forensic pathology)
Forensic medicine   (forensic pathology)Forensic medicine   (forensic pathology)
Forensic medicine (forensic pathology)MBBS IMS MSU
 
Forensic osteology
Forensic osteologyForensic osteology
Forensic osteologyARIF MASOOD
 
Post mortem changes notes by dr. armaan singh
Post mortem changes notes by  dr. armaan singhPost mortem changes notes by  dr. armaan singh
Post mortem changes notes by dr. armaan singhDr. Armaan Singh
 
Age estimation by bones
Age estimation by bonesAge estimation by bones
Age estimation by boneschetan samra
 
Special stains in histopathology
Special stains in histopathologySpecial stains in histopathology
Special stains in histopathologyEkta Jajodia
 
THE MEDICO-LEGAL AUTOPSY.pptx
THE MEDICO-LEGAL AUTOPSY.pptxTHE MEDICO-LEGAL AUTOPSY.pptx
THE MEDICO-LEGAL AUTOPSY.pptxBalinainejoseph
 
Superimposition
SuperimpositionSuperimposition
SuperimpositionJihajie
 
Forensic semen analysis
Forensic semen analysisForensic semen analysis
Forensic semen analysisVikasJangra25
 
Personal identity
Personal identityPersonal identity
Personal identityFarhan Ali
 
Identification from skeletal remains
Identification from skeletal remainsIdentification from skeletal remains
Identification from skeletal remainsFarhan Ali
 
Wounds in forensic medicine
Wounds in forensic medicineWounds in forensic medicine
Wounds in forensic medicineAhmed Almumtin
 
Autopsy internal examination, Forensic Medicine, Post-mortem Examination
Autopsy internal examination, Forensic Medicine, Post-mortem ExaminationAutopsy internal examination, Forensic Medicine, Post-mortem Examination
Autopsy internal examination, Forensic Medicine, Post-mortem ExaminationAishwarya Sinha
 
External examination at autopsy
External examination at autopsyExternal examination at autopsy
External examination at autopsyAshish Jawarkar
 
Forensic pathology notes by dr. armaan singh
Forensic pathology notes by  dr. armaan singhForensic pathology notes by  dr. armaan singh
Forensic pathology notes by dr. armaan singhDr. Armaan Singh
 

What's hot (20)

Forensic medicine (forensic pathology)
Forensic medicine   (forensic pathology)Forensic medicine   (forensic pathology)
Forensic medicine (forensic pathology)
 
Facial reconstruction
Facial reconstructionFacial reconstruction
Facial reconstruction
 
Forensic osteology
Forensic osteologyForensic osteology
Forensic osteology
 
Post mortem changes notes by dr. armaan singh
Post mortem changes notes by  dr. armaan singhPost mortem changes notes by  dr. armaan singh
Post mortem changes notes by dr. armaan singh
 
Age estimation by bones
Age estimation by bonesAge estimation by bones
Age estimation by bones
 
Autopsy
AutopsyAutopsy
Autopsy
 
Special stains in histopathology
Special stains in histopathologySpecial stains in histopathology
Special stains in histopathology
 
Blood Stains.pptx
Blood Stains.pptxBlood Stains.pptx
Blood Stains.pptx
 
THE MEDICO-LEGAL AUTOPSY.pptx
THE MEDICO-LEGAL AUTOPSY.pptxTHE MEDICO-LEGAL AUTOPSY.pptx
THE MEDICO-LEGAL AUTOPSY.pptx
 
Superimposition
SuperimpositionSuperimposition
Superimposition
 
Forensic semen analysis
Forensic semen analysisForensic semen analysis
Forensic semen analysis
 
Personal identity
Personal identityPersonal identity
Personal identity
 
Postmortem artefcts
Postmortem artefctsPostmortem artefcts
Postmortem artefcts
 
Fetal autopsy
Fetal autopsyFetal autopsy
Fetal autopsy
 
Identification from skeletal remains
Identification from skeletal remainsIdentification from skeletal remains
Identification from skeletal remains
 
Wounds in forensic medicine
Wounds in forensic medicineWounds in forensic medicine
Wounds in forensic medicine
 
Autopsy internal examination, Forensic Medicine, Post-mortem Examination
Autopsy internal examination, Forensic Medicine, Post-mortem ExaminationAutopsy internal examination, Forensic Medicine, Post-mortem Examination
Autopsy internal examination, Forensic Medicine, Post-mortem Examination
 
External examination at autopsy
External examination at autopsyExternal examination at autopsy
External examination at autopsy
 
Forensics of hair analysis
Forensics of hair analysis Forensics of hair analysis
Forensics of hair analysis
 
Forensic pathology notes by dr. armaan singh
Forensic pathology notes by  dr. armaan singhForensic pathology notes by  dr. armaan singh
Forensic pathology notes by dr. armaan singh
 

Similar to Virtopsy

Lecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptx
Lecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptxLecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptx
Lecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptxfaiz3334
 
Specialised Techniques in Oral Radiology
Specialised Techniques in Oral RadiologySpecialised Techniques in Oral Radiology
Specialised Techniques in Oral RadiologyIAU Dent
 
Presentation on CT Scan.pptx
Presentation on CT Scan.pptxPresentation on CT Scan.pptx
Presentation on CT Scan.pptxDanish Dawood
 
Computed Tomography and Spiral Computed Tomography
Computed Tomography and Spiral Computed Tomography Computed Tomography and Spiral Computed Tomography
Computed Tomography and Spiral Computed Tomography JAMES JACKY
 
Computed tomography - Physics and Clinical
Computed tomography - Physics and ClinicalComputed tomography - Physics and Clinical
Computed tomography - Physics and ClinicalSambasivaselli R
 
Cone Beam Computed Tomography.pptx
Cone Beam Computed Tomography.pptxCone Beam Computed Tomography.pptx
Cone Beam Computed Tomography.pptxDrAnand22
 
Principles of mdct
Principles of mdctPrinciples of mdct
Principles of mdctInosRagan
 
Basicsinct 110331052435-phpapp02
Basicsinct 110331052435-phpapp02Basicsinct 110331052435-phpapp02
Basicsinct 110331052435-phpapp02medoo2002
 
Intro to CT scan machine
Intro to CT scan machineIntro to CT scan machine
Intro to CT scan machineSyed Jamal
 
Specialised Techniques in Oral Radiology
Specialised Techniques in Oral RadiologySpecialised Techniques in Oral Radiology
Specialised Techniques in Oral RadiologyIAU Dent
 

Similar to Virtopsy (20)

MDCT (2)
MDCT (2)MDCT (2)
MDCT (2)
 
Lecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptx
Lecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptxLecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptx
Lecture 3 & 4 anam sanam chick ldkfdlsfldfjdlsjfdlks .pptx
 
CBCT IN ORTHODONTICS
CBCT IN ORTHODONTICSCBCT IN ORTHODONTICS
CBCT IN ORTHODONTICS
 
Basics of CT
Basics of CTBasics of CT
Basics of CT
 
Specialised Techniques in Oral Radiology
Specialised Techniques in Oral RadiologySpecialised Techniques in Oral Radiology
Specialised Techniques in Oral Radiology
 
CAT
CATCAT
CAT
 
Presentation on CT Scan.pptx
Presentation on CT Scan.pptxPresentation on CT Scan.pptx
Presentation on CT Scan.pptx
 
CBCT IN ORTHODONTICS
CBCT IN ORTHODONTICSCBCT IN ORTHODONTICS
CBCT IN ORTHODONTICS
 
Ct scan final (2)
Ct scan final (2)Ct scan final (2)
Ct scan final (2)
 
Computed Tomography
Computed TomographyComputed Tomography
Computed Tomography
 
Ct Basics
Ct BasicsCt Basics
Ct Basics
 
Computed Tomography and Spiral Computed Tomography
Computed Tomography and Spiral Computed Tomography Computed Tomography and Spiral Computed Tomography
Computed Tomography and Spiral Computed Tomography
 
Computed tomography - Physics and Clinical
Computed tomography - Physics and ClinicalComputed tomography - Physics and Clinical
Computed tomography - Physics and Clinical
 
Cone Beam Computed Tomography.pptx
Cone Beam Computed Tomography.pptxCone Beam Computed Tomography.pptx
Cone Beam Computed Tomography.pptx
 
Principles of mdct
Principles of mdctPrinciples of mdct
Principles of mdct
 
Ct scan
Ct scanCt scan
Ct scan
 
CBCT.pptx
CBCT.pptxCBCT.pptx
CBCT.pptx
 
Basicsinct 110331052435-phpapp02
Basicsinct 110331052435-phpapp02Basicsinct 110331052435-phpapp02
Basicsinct 110331052435-phpapp02
 
Intro to CT scan machine
Intro to CT scan machineIntro to CT scan machine
Intro to CT scan machine
 
Specialised Techniques in Oral Radiology
Specialised Techniques in Oral RadiologySpecialised Techniques in Oral Radiology
Specialised Techniques in Oral Radiology
 

Recently uploaded

"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 

Recently uploaded (20)

"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 

Virtopsy

  • 1. VIRTOPSYV I R T U A L A U T O P S Y BY LOKESHWARI.V(15MCA14) ASHA.V(15MCA03)
  • 2. INTRODUCTION • Virtopsy is a term that came from virtual autopsy. • It was developed by Richard Dirnhofer, former director of Forensic Medicine, Berne, Switzerland. • Originated in mid 1990’s. • It is a scalpel free procedure to carry out autopsy using medical imaging techniques.
  • 3. AUTOPSY V/S VIRTOPSY AUTOPSY • Thorough examination of corpse through dissection. • Types of autopsy: – Medico-legal Autopsy – Clinical Autopsy – Anatomical Autopsy • Second opinion is not possible as it would have damaged some of the parts. VIRTOPSY • Alternate method for much safer procedure as it is a blood less procedure. • Techniques used are: – Robot guided 3D surface scanning – Multi-Slice Computed Tomography(MSCT) – Post mortem Angiography • The findings of virtopsy are in digital format. • Second opinion of any expert is possible even if the body is cremated
  • 4. TECHNIQUES IN VIRTOPSY • 3D Surface Scan • photogrammetry • Multi-Slice Computed Tomography [MSCT] • Magnetic Resonance Imaging [MRI] • Radiography • Angiography
  • 5. 3D SURFACE SCAN • A 3D surface scan takes pictures of the patient to provide a visual record of the condition. • The images are taken in a booth that includes several cameras. • These cameras are positioned to obtain photographs from multiple angles of the anatomy under consideration. • This may involve the face,the entire head ,the torso or the whole body. • The images are then combined to create a photorealistic 3-D static image of the patient.
  • 6. PHOTOGRAMMETRY • The photographic projection in a camera can be described mathematically as central projection of the object onto the plane. • Every single object is mapped in an image point ,which is the intersection point of the projection beam and the image plane.
  • 7. MULTI-SLICE COMPUTED TOMOGRAPHY [MSCT] • The full-body multislice computed tomography (MSCT) was performed for study of bone lesions and cause of death. • MSCT was superior to autopsy in diagnosis of traumatic bone lesions and also revealed dental anomalies and signs of drowning.
  • 8. MAGNETIC RESONANCE IMAGING [MRI] • Magnetic resonance imaging (MRI) is another non-ionising technique available for forensic analysis. • It is much less extensive compared to ionising approaches. • It is more frequently applied in cases involving living individuals. • It is primarily used in relation to the estimation of skeletal age, and for the specific purpose of the determination of legal culpability.
  • 9. RADIOGRAPHY• Radiography is an imaging technique using X-rays to view the internal structure of an object. • To create the image, a beam of X-rays, a form of electromagnetic radiation, is produced by an X-ray generator and is projected toward the object. • The X-rays that pass through the object are captured behind the object by a detector (either photographic film or a digital detector). • A certain amount of X-ray is absorbed by the object, dependent on its density and composition.
  • 10. ANGIOGRAPHY • Angiography is the use of fluoroscopy to view the cardiovascular system. • An iodine-based contrast is injected into the bloodstream and watched as it travels around. • Since liquid blood and the vessels are not very dense, a contrast with high density (like the large iodine atoms) is used to view the vessels under X-ray. • Angiography is used to find aneurysms, leaks, blockages (thromboses), new vessel growth, and placement of catheters and stents. Angiogram showing a transverse projection of the vertebro basilar and posterior cerebral circulation.
  • 11.
  • 12.
  • 13.
  • 14. PROCEDURE OF VIRTOPSY • It uses combination of techniques like 3D surface scan, Photogrammetry & MRI scan. • It uses a robotic machine called “VIRTIBOT”. • Small disks along the exterior of the body is placed. Using Virtibot 3D color model of the corpse is created. The robot moves over the body creating 3D image for about 10s. • Then the body is placed inside a blue bag which prevents from contamination and helps x-rays to pass easily is scanned using MRI, CT MRS equipment. The body undergoes CT scan that finishes in 20s and acquires up to 25,000 images. Each image is cut through or slice of the body. • Within 10 minutes the detailed image of tissue, bone are reconstructed using powerful desktop computers. • With the click of mouse, the pathologist can peel through the layers of virtual skin and muscle.
  • 15. IMPLEMENTATION • The reconstruction of 2-D images can be performed with a Filtered Back-Projection (FBP) type reconstruction and an iterative Ordered Subset Convex (OSC) maximum-likelihood method • A special software is used to simulate transmission tomography scans with different signal- to-noise ratios (SNR) • The noise and modulation transfer function is calculated for FBP and OSC reconstruction at several positions, distributed over the field-of-view (FOV) • The OSC method achieves a lower level of noise compared with FBP at the same resolution • The reconstruction with OSC can save a factor of up to nine of x-ray dose compared with FBP in the investigated range of noise levels • The OSC algorithm was modified so it calculates the normalization term before the iterative process to save computational cost. The modified version requires only one back projection per iteration as compared to two required for the original OSC
  • 16. • The OSC algorithm updates all estimates of the attenuation coefficients µn s+1 (k) – Yi represents the measured transmission counts in bin i – di represents the blank scan counts in bin i – lij is the length of projection line i through voxel j – S(s) contains the projections in subset s
  • 17. • Transmission images were reconstructed with the OSC algorithm using 50, 125 and 250 subsets • They were compared with images reconstructed with the standard convex algorithm serving as the ‘gold standard’ • The N subsets were chosen such that the angles θ between the n projections in each subset were equal (θ = 2π/n) • The order in which the subsets were used during each iteration of OSC was- Δθ ∈ {0, 1.2π/N.n, 2.2π/N.n, . . . , (N − 1).2π/N.n} between s+1 & s • Angular difference Δθ was as close as possible to the centre of the largest angular gap of projection angles that had not yet been processed in the current OSC iteration (Δθ as close as possible to π/n)
  • 18. USES OF VIRTOPSY • Time of death. • Identification of individuals. • Determination of age and sex of individual. • Death due to burns. • Manual strangulation or hanging. • Road traffic accidents.
  • 19. CONCLUSION Autopsy has its merits but virtopsy has futuristic advancements that provide privacy to deceased family. At the present virtopsy cannot replace conventional autopsy since it is a new development in the field of investigation of death.
  • 20. REFERENCES • http://www.sciencedirect.com/science/article/pii/S2090536X16300211 • http://medind.nic.in/jal/t14/i2/jalt14i2p195.pdf • https://www.wired.com/2012/10/virtual-autopsy-2/ • http://journal.opus12.org/o12-ojs/ojs-2.1.1/index.php/o12sci/article/viewFile/249/75 • https://link.springer.com/chapter/10.1007%2F978-90-481-8990-8_9