Caeleste hosts MS theses
/ internships and PhD theses
MS
or graduate students are invited to apply for internship at Caeleste,
eventually leading to a master or graduate thesis. Students with a background in electrical
engineering, physics, optics, or background with affinity to image sensors are
solicited. We select after a
thorough interview. For examples see below.
Also
candidate PhD students are invited to apply. Together with a befriended university
faculty we create and sponsor a suitable subject and research program. Subjects are in the domain of advanced
image sensors, circuit topologies, performance, noise, dark current, photon
counting, smart sensors etc.
For
further information or applications contact bart@caeleste.be
+32 478299757.
.
1
|
MS eindwerk en/of
stage “kleuren X-ray software en hardware integratie”
“Kleuren
X-ray” is een verbetering
van klassieke (zwart-wit)
X-ray, waarbij de diagnostische
informatie verbeterd wordt door rekening te houden met de spectrale inhoud van de beelden. De spectrale inhoud, dzw de informative die vervat
zit in de absorptie als functie van de golflengte van
de X-stralen, bevat informatie over de chemische samenstelling van het bestraalde
weefsel.
Zo hebben Caeleste
en UZBrussel recent aangetoond
dat we op deze manier onderscheid kunnen maken tussen waterrijk (bloed), koolstofrijk (vet) en proteinerijk weefsel (zoals sommige kankers)., zie http://www.caeleste.be/publications/2010%20bhpa.pps
en http://www.caeleste.be/publications/2010%20osa%20tucson.pdf
Deze demonstratie
gebeurden buiten de normale klinische procedures,
en weinig geautomatiseerd. De experimenten
tot nu toe gebeurden op operatiespecimens. Op langere termijn is
het de bedoeling om de techniek toe te passen
in borstkankerdiagnose.. Het doel van dit eindwerk is om de acquisitie en beeldverwerking volledig te integreren, zodat deze belangrijke
nieuwe techniesk routinematig zal worden gebruikt. Het omhelst
Het werk wordt uitgevoerd op het UZ Brussel (Jette) en Caeleste (Berchem), o.l.v.
NN en Bart Dierickx |
Fig. links: “klassiek” Röntgenbeeld van een borstkanker, rechts: kleuren X-ray. |
2
|
Proposed subject for Master Thesis Photon counting, color X-ray detection The
holy grail of image sensing is “photon counting”. Detecting, measuring and counting the
individual photons is the fundamental and ultimate
way to make images. Photon
counting, apart from the inherent “photon shot noise” is noise
free. In
medical X-ray and high energy particle physics, photon counting is highly
fashionable, as (1) these pixels are large, and can contain the complex
in-pixel processing (2) X-ray photons are highly energetic, and can deposit
charge packets of several hundreds of electrons making detection and energy
discrimination “easy”. X-ray
photon counting has an exciting side effect: while photons are individually
detected, their “weight” (energy content h.ν)
can be individually measured.
This allows extracting the spectrum or “color” of the
X-radiation for each individual pixel.
With this so-called “color X-ray”, one can discriminate
and diagnose the chemical composition of the tissues that are irradiated by
the X-rays. It
is believed that future X-ray imaging is in “color”, bringing a
new dimension in X-ray and CT diagnostic capabilities. In
this project, in collaboration with Caeleste, we examine advanced detector /
pixel architectures and Silicon implementations of such color-X-ray
pixels. The work encompasses many
diverse domains, going from CMOS detector circuit design and simulations, to
optical (under light or X-rays) testing and evaluation of (“color”)
sensitivity and radiation tolerance, up to testing medical and biological
diagnostic capabilities. Depending
on his interests and skill the candidate, he/she can contribute to one or
more of these aspects. |
Color X-ray can sense the atomic
composition of various tissue
design detail example of Xray pixel front-end |
