Skip to main content

PET/CT Combined Scanners - a 2018 Breakthrough of the Year... and a Personal Story

Image source
Recently, a co-worker in her 20's was diagnosed with a brain tumor!  At times like these, the importance of medical imaging jumps to the fore!

Most people have heard of CT ("CAT") scanners – at least enough to know that they don't actually involve cats – but less well-known are PET scanners (which likewise don't involve pets!), and the synergistic combination of the two.

A Marriage Made in Heaven

What do those scanners do?  And why are they being combined in single devices?

Voted 2018 Breakthrough of the Year by a science magazine, the improved PET/CT combined scanner has been a game changer.
The EXPLORER PET/CT scanner – the world’s first medical imaging system that can capture a 3D image of the entire human body simultaneously – has produced its first human images.

Developed by UC Davis scientists and a multi-institutional consortium, EXPLORER can scan up to 40 times faster, or use up to 40 times less radiation dose, than current PET systems, making it possible to conduct repeated studies in an individual […]
The high-sensitivity scanner can also create movies that track radiolabelled drugs as they move around the body.

Incidentally, I was privileged to work on the development of earlier generations of PET scanners when, fresh out of college in the 1990’s, I held a job at the Lawrence Berkeley Lab as a Research Associate for PET scanner detector development.

Stephen Derenzo, a professor of mine from an Electrical Engineering class at UC Berkeley, was the leader of that group, and he offered me a job.

He recently retired after decades of cutting-edge research.  A PET scanner calibration device got named after him:  “Derenzo phantom (calibration device)”

Back in that research lab, a hot topic was to improve the crystals that catch the gamma rays from the Positron emission (hence the name PET, Positron Emission Tomography).  I remember helping the professor with a number of crystal gamma-ray absorption measurements and computer simulations…

Hindsight

Decades later, it turned out that a lot of the improvements have arisen from ditching the old “photomultiplier tubes” – used to detect the light emitted by the crystals – in favor of Silicon photomultipliers (more info.)  I remember absolutely no talk of that back then...

Another key improvement arose from combining PET scanners with CT scanners, and more recently combining PET with MRI.

I can’t claim any large personal contribution – I was just a Research Associate (basically a student assistant) back then – but it has been satisfying to have lent a hand…  and I’m happy that the improved technology is now better helping patients – including my co-worker, who thankfully had a successful surgery and is recovering.

For more details on the long road of small improvements in PET/CT imaging devices, here's a good 2018 article.

But what are the basic principle behind PET scanners?  That's only half of the modern devices, but the part I worked on and know best – and so I'll focus on that.

How PET (Positron Emission Tomography) Scanners Work, in brief

Image Source
Here's a machine in cross section. 
  1. The patient gets injected with a radioactive substance (short-lived and low dose, of course.)
  2. The radioactive emission of gamma rays (similar to X-rays but more energetic), always emitted in pairs, gets picked up by a duo of detectors on opposite chamber walls.
  3. From the pair of signals, the location of the radioactive substance in the body gets determined

A Few More Details

Image source
In the diagram to the left:

(i) The radioactive atoms are isotopes of Fluorine, derived from from Oxygen and Neon by means of nuclear reactions (absorption of, respectively, protons or neutrons by the nuclei of the source atoms)

(ii) The radioactive Fluorine atoms get incorporated in sugar molecules such as FDG (Fludeoxyglucose, aka 2-fluoro 2-deoxy-D-glucose.)

(iii) The radioactive sugar is injected into the patient.  It doesn't stay radioactive for very long, though – sparing the patient from excessive radiation.  The half-life of Fluorine-18 is less than 2 hours.  (Fludeoxyglucose F-18 injections)

(iv) The radioactive Fluorine atoms emit positrons, the anti-matter version of electrons.  In our world dominated by ("regular") matter, it doesn't take long for anti-matter to annihilate itself: the newly-emitted positron runs into an electron, its anti-particle, and boom – the energy released gets carried off by two gamma-ray photons (higher-energy version of X rays) in opposite directions, to be picked up by gamma-ray detectors.

(v) Finally, computation techniques reconstruct the location and time of the original emission, resulting in an image.

"Follow the Money Glucose Trail, and the Bullet Gamma-Ray Marks"

Image source
The counterpart of the "follow the money" of criminal investigations, is "follow the glucose"!

It's no coincidence the the radioactive Fluorine gets attached to glucose (a type of sugar.) Glucose is, of course, a key player in metabolism.  So, area with high metabolic activity will really light up in the image.

Next, it's "ballistic analysis" : if you locate 2 bullet tracks on opposite walls, from the same gun, one can reconstruct where the gun was located in the room.

Image source
Complications of course arise if the bullet ricochets, or if there were multiple shootings....

In loving memory of my sister-in-law Myriam.

She ultimately lost the battle against cancer, but regular PET/CT scans helped monitor it, adjust her treatment, and perhaps contributed to living much longer than originally prognosed.

Comments

Popular posts from this blog

Discussing Neuroscience with ChatGPT

UPDATED Apr. 2023 - I'm excited by ChatGPT 's possibilities in terms of facilitating advanced learning .  For example, I got enlightening answers to questions that I had confronted when I first studied neuroscience.  The examples below are taken from a very recent session I had with ChatGPT (mid Jan. 2023.) Source: https://neurosciencestuff.tumblr.com In case you're not familiar with ChatGPT, it's a very sophisticated "chatbot" - though, if you call it that way, it'll correct you!  'I am not a "chatbot", I am a language model, a sophisticated type of AI algorithm trained on vast amounts of text data to generate human-like text'. For a high-level explanation of how ChatGPT actually works - which also gives immense insight into its weaknesses, there's an excellent late Jan. 2023 talk by Stephen Wolfram, the brilliant author of the Mathematica software and of Wolfram Alpha , a product that could be combined with ChatGPT to imp

Using Neo4j with Python : the Open-Source Library "NeoAccess"

So, you want to build a python app or Jupyter notebook to utilize Neo4j, but aren't too keen on coding a lot of string manipulation to programmatic create ad-hoc Cypher queries?   You're in the right place: the NeoAccess library can do take care of all that, sparing you from lengthy, error-prone development that requires substantial graph-database and software-development expertise! This article is part 4 of a growing,  ongoing  series  on Graph Databases and Neo4j   "NeoAccess" is the bottom layer of the technology stack provided by the BrainAnnex open-source project .  All layers are very modular, and the NeoAccess library may also be used by itself , entirely separately from the rest of the technology stack.  (A diagram of the full stack is shown later in this article.) NeoAccess interacts with the Neo4j Python driver , which is provided by the Neo4j company, to access the database from Python; the API to access that driver is very powerful, but complex - and does

Graph Databases (Neo4j) - a revolution in modeling the real world!

UPDATED Oct. 2023 - I was "married" to Relational Databases for many years... and it was a good "relationship" full of love and productivity - but SOMETHING WAS MISSING! Let me backtrack.   In college, I got a hint of the "pre-relational database" days...  Mercifully, that was largely before my time, but  - primarily through a class - I got a taste of what the world was like before relational databases.  It's an understatement to say: YUCK! Gratitude for the power and convenience of Relational Databases and SQL - and relief at having narrowly averted life before it! - made me an instant mega-fan of that technology.  And for many years I held various jobs that, directly or indirectly, made use of MySQL and other relational databases - whether as a Database Administrator, Full-Stack Developer, Data Scientist, CTO or various other roles. UPDATE: This article is now part 1 of a growing, ongoing series on Graph Databases and Neo4j But ther

What are Graph Databases - and Why Should I Care?? : "Graph Databases for Poets"

  This is a very gentle introduction to the subject.  The subtitle is inspired by university courses such as "Physics for Poets"!  (if you're technically inclined, there's an alternate article for you.) It has been said that "The language of physics (or of God) is math".  On a similar note, it could be said that: The language of the biological world - or of any subject or endeavor involving complexity - is networks ('meshes') What is a network?  Think of  it as the familiar 'friends of friends' diagram from social media. Everywhere one turns in biology, there's a network – at the cellular level, tissue level, organ level, ecosystem level.  The weather and other earth systems are networks.  Human societal organization is a network.  Electrical circuits, the Internet, our own brains...  Networks are everywhere! What can we do with networks, to better understand the world around us, or to create something that we need? Broadly s

Full-Text Search with the Neo4j Graph Database

(UPDATED Oct. 2023)   Now that we have discussed a full technology stack based on Neo4j (or other graph databases), and that we a design and implementation available from the open-source project BrainAnnex.org  , what next?  What shall we build on top? Well, how about  Full-Text Search ?  This article is part of a growing, ongoing series on Graph Databases and Neo4j Full-Text Searching/Indexing Starting with the  Version 5, Beta 26.1  release, the Brain Annex open-source project includes a straightforward but working implementation of a design that uses the convenient services of its Schema Layer , to provide indexing of word-based documents using Neo4j. The python class FullTextIndexing ( source code ) provides the necessary methods, and it can parse both plain-text and HTML documents (for example, used in "formatted notes"); parsing of PDF files and other formats will be added at a later date. No grammatical analysis ( stemming or lemmatizing ) is done on

Using Schema in Graph Databases such as Neo4j

UPDATED Feb. 2024 - Graph databases have an easygoing laissez-faire attitude: "express yourself (almost) however you want"... By contrast, relational databases come across with an attitude like a micro-manager:  "my way or the highway"... Is there a way to take the best of both worlds and distance oneself from their respective excesses, as best suited for one's needs?  A way to marry the flexibility of Graph Databases and the discipline of Relational Databases? This article is part 5 of a growing,  ongoing  series  on Graph Databases and Neo4j Let's Get Concrete Consider a simple scenario with scientific data such as the Sample, Experiment, Study, Run Result , where Samples are used in Experiments, and where Experiments are part of Studies and produce Run Results.  That’s all very easy and intuitive to represent and store in a Labeled Graph Database such as Neo4j .   For example, a rough draft might go like this:   The “labels” (black tags) represent

Neo4j & Cypher Tutorial : Getting Started with a Graph Database and its Query Language

You have a general idea of what Graph Databases - and Neo4j in particular - are...  But how to get started?  Read on! This article is part 3 of a growing,  ongoing  series  on Graph Databases and Neo4j   If you're new to graph databases, please check out part 1 for an intro and motivation about them.  There, we discussed an example about an extremely simple database involving actors, movies and directors...  and saw how easy the Cypher query language makes it to answer questions such as "which directors have worked with Tom Hanks in 2016" - questions that, when done with relational databases and SQL, turn into a monster of a query and an overly-complicated data model involving a whopping 5 tables! In this tutorial, we will actually carry out that query - and get acquainted with Cypher and the Neo4j browser interface in the process.  This is the dataset we'll be constructing: Get the database in place If you don't already have a database installed locally

Neo4j Sandbox Tutorial : try Neo4j and learn Cypher - free and easy!

So, you have an itch to test-drive Neo4j and its Cypher query language.  Maybe you want to learn it, or evaluate it, or introduce colleagues/clients to it.  And you wish for: fast, simple and free! Well, good news: the Neo4j company kindly provides a free, short-term hosted solution called "the Neo4j sandbox" .  Extremely easy to set up and use! This article is part 2 of a growing, ongoing series on Graph Databases and Neo4j Register (free) for the Neo4j "Sandbox" Go to sandbox.neo4j.com , and register with a working email and a password.  That's it! Note that this same email/password will also let you into the Neo4j Community Forums and Support ; the same login for all: very convenient! Launch your instance - blank or pre-populated After registering, go to  sandbox.neo4j.com  , and follow the steps in the diagram below (the choices might differ, but the "Blank Sandbox" should always be there): Too good to be true?  Is there

Visualization of Graph Databases Using Cytoscape.js

(UPDATED APR. 2024)   I have ample evidence from multiple sources that there are strong unmet needs in the area of visualization of graph databases. And whenever there's a vacuum, vendors circle like vultures - with incomplete, non-customizable, and at times ridiculously expensive, closed-box proprietary solutions.   Fortunately, coming to the rescue is the awesome open-source cytoscape.js library ,  an offshoot of the "Cytoscape" project of the  Institute for Systems Biology , a project with a long history that goes back to 2002. One can do amazing custom solutions, relatively easily, when one combines this Cytoscape library with:   1) a front-end framework such as Vue.js   2) backend libraries (for example in python) to prepare and serve the data   For example, a while back I created a visualizer for networks of chemical reactions, for another open-source project I lead ( life123.science )   This visualizer will look and feel generally familiar to anyone who has eve

To Build or Not to Build One’s Own Desktop Computer?

“ VALENTINA ” [UPDATED JUNE 2021] - Whether you're a hobbyist, or someone who just needs a good desktop computer, or an IT professional who wants a wider breath of knowledge, or a gamer who needs a performant machine, you might have contemplated at some point whether to build your own desktop computer. If you're a hobbyist, I think it's a great project.  If you're an IT professional - especially a "coder" - I urge you to do it: in my opinion, a full-fledged Computer Scientist absolutely needs breath, ranging from the likes of Shannon's Information Theory and the Halting Problem - all the way down to how transistors work. And what about someone who just needs a good desktop computer?  A big maybe on that - but perhaps this blog entry will either help you, or scare you off for your own good! To build, or not to build, that is the question: Whether 'tis nobler in the mind to suffer The slings and arrows of OEM's cutting corners and limit