Occiput.io - Tomographic Vision

Contributors:

• Stefano Pedemonte
• Niccolò Fuin
• David Izquierdo
• Ciprian Catana
• Spencer Bowen

This research was supported by:

• NIH NCRR
• NIH NIBIB
• TEKES
• The Lundbeck Foundation
• NVIDIA Corporation

Images:

• Scanner picture courtesy of Siemens and Philips

SOFTWARE FOR VOLUMETRIC IMAGING

Web-based interactive visualization

IMAGE QUALITY

Comparison between Occiput and Siemens' E7-tools

BRAIN STUDY

DeRENZO PHANTOM

E7-TOOLS

OCCIPUT

Transverse plane

CYLINDER PHANTOM

OCCIPUT

E7-TOOLS

Coronal axis

Sagittal axis

Normalization: Yes

Attenuation: Yes

Scatter correction: Yes

Randoms correction: Yes

Number of MLEM iterations: 40

Normalization: Yes

Attenuation: No

Scatter correction: No

Randoms correction: No

Number of MLEM iterations: 40

BLUE: OCCIPUT

RED: E7-TOOLS

Blue - OCCIPUT

Red - E7-TOOLS

Saggital plane

Normalization: Yes

Attenuation: Yes

Scatter correction: Yes

Randoms correction: Yes

Number of MLEM iterations: 40

GATING

MOTION

UNCERTAINTY

REGISTRATION

RIEMANNIAN MANIFOLD TOMOGRAPHY

- load motion information

- create computational graph for motion correction

inv. pulse

..

MPRAGE

readout

Reg.

80 ms

vNAV

275 ms

MPRAGE

readout

Reg.

80 ms

MPRAGE

readout

vNAV

275 ms

Reg.

80 ms

TR gap

TI gap

Registration

MOTION

- load gating information

- create computational graph for gated reconstruction

COUNTS

ACTIVITY

1) install NiftyRec - CMake

2)

python setup.py build install

or pip install occiput

Organization of the code

How to install

How to integrate

- Python

- Matlab ray-tracers

- C/C++ ray-tracers *

*Kitware RTK uses NiftyRec for CT reconstruction